The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Catchup: a mouse model for imaging-based tracking and modulation of neutrophil granulocytes
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Cites
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Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
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Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus
Srinivas, S., Watanabe, T., Lin, C.-S., William, C. M., Tanabe, Y., Jessell, T. M., & Costantini, F. (2001) · BMC Developmental Biology · doi:10.1186/1471-213x-1-4 · Cited by 3,121
Conditional gene targeting in macrophages and granulocytes using LysMcre mice
Clausen, B. E., Burkhardt, C., Reith, W., Renkawitz, R., & Förster, I. (1999) · Transgenic Research · doi:10.1023/a:1008942828960 · Cited by 2,098
Szymczak, A. L., Workman, C. J., Wang, Y., Vignali, K. M., Dilioglou, S., Vanin, E. F., & Vignali, D. A. A. (2004) · Nature Biotechnology · doi:10.1038/nbt957 · Cited by 1,059
Chaffey, N. (2001) · Trends in Plant Science · doi:10.1016/s1360-1385(01)01902-1 · Cited by 1,043
Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo
Lämmermann, T., Afonso, P. V., Angermann, B. R., Wang, J. M., Kastenmüller, W., Parent, C. A., & Germain, R. N. (2013) · Nature · doi:10.1038/nature12175 · Cited by 929
De Filippo, K., Dudeck, A., Hasenberg, M., Nye, E., van Rooijen, N., Hartmann, K., Gunzer, M., Roers, A., & Hogg, N. (2013) · Blood · doi:10.1182/blood-2013-02-486217 · Cited by 880
Self-citationFaust, N., Varas, F., Kelly, L. M., Heck, S., & Graf, T. (2000) · Blood · doi:10.1182/blood.v96.2.719 · Cited by 748
FcγRIV: A Novel FcR with Distinct IgG Subclass Specificity
Nimmerjahn, F., Bruhns, P., Horiuchi, K., & Ravetch, J. V. (2005) · Immunity · doi:10.1016/j.immuni.2005.05.010 · Cited by 660
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Coffelt, S. B., Wellenstein, M. D., & de Visser, K. E. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.52 · Cited by 1,830
Neutrophils as protagonists and targets in chronic inflammation
Soehnlein, O., Steffens, S., Hidalgo, A., & Weber, C. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.10 · Cited by 600
Cruz Hernández, J. C., Bracko, O., Kersbergen, C. J., Muse, V., Haft-Javaherian, M., Berg, M., Park, L., Vinarcsik, L. K., Ivasyk, I., Rivera, D. A., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0329-4 · Cited by 508
Visualizing the function and fate of neutrophils in sterile injury and repair
Wang, J., Hossain, M., Thanabalasuriar, A., Gunzer, M., Meininger, C., & Kubes, P. (2017) · Science · doi:10.1126/science.aam9690 · Cited by 508
Self-citationA Neutrophil Timer Coordinates Immune Defense and Vascular Protection
Adrover, J. M., del Fresno, C., Crainiciuc, G., Cuartero, M. I., Casanova-Acebes, M., Weiss, L. A., Huerga-Encabo, H., Silvestre-Roig, C., Rossaint, J., Cossío, I., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.002 · Cited by 445
More friend than foe: the emerging role of neutrophils in tissue repair
Peiseler, M., & Kubes, P. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124616 · Cited by 423
Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M. (2020) · Physiological Reviews · doi:10.1152/physrev.00018.2019 · Cited by 310
Microglial cell loss after ischemic stroke favors brain neutrophil accumulation
Otxoa-de-Amezaga, A., Miró-Mur, F., Pedragosa, J., Gallizioli, M., Justicia, C., Gaja-Capdevila, N., Ruíz-Jaen, F., Salas-Perdomo, A., Bosch, A., Calvo, M., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-018-1954-4 · Cited by 258
Self-citationImmunoPET/MR imaging allows specific detection of Aspergillus fumigatus lung infection in vivo
Rolle, A.-M., Hasenberg, M., Thornton, C. R., Solouk-Saran, D., Männ, L., Weski, J., Maurer, A., Fischer, E., Spycher, P. R., Schibli, R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518836113 · Cited by 134
Self-citationEnzmann, G., Kargaran, S., & Engelhardt, B. (2018) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286418794184 · Cited by 119
Rosenzweig, N., Kleemann, K. L., Rust, T., Carpenter, M., Grucci, M., Aronchik, M., Brouwer, N., Valenbreder, I., Cooper-Hohn, J., Iyer, M., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03122-3 · Cited by 98
Lee, E. K. S., Gillrie, M. R., Li, L., Arnason, J. W., Kim, J. H., Babes, L., Lou, Y., Sanati-Nezhad, A., Kyei, S. K., Kelly, M. M., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2017.11.009 · Cited by 89
Extreme disruption of heterochromatin is required for accelerated hematopoietic aging
Keenan, C. R., Iannarella, N., Naselli, G., Bediaga, N. G., Johanson, T. M., Harrison, L. C., & Allan, R. S. (2020) · Blood · doi:10.1182/blood.2019002990 · Cited by 34
Nanoparticle decoration impacts airborne fungal pathobiology
Westmeier, D., Solouk-Saran, D., Vallet, C., Siemer, S., Docter, D., Götz, H., Männ, L., Hasenberg, A., Hahlbrock, A., Erler, K., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804542115 · Cited by 22
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Metadata
- Authors
- Hasenberg, A., Hasenberg, M., Männ, L., Neumann, F., Borkenstein, L., Stecher, M., Kraus, A., Engel, D. R., Klingberg, A., Seddigh, P., Abdullah, Z., Klebow, S., Engelmann, S., Reinhold, A., Brandau, S., Seeling, M., Waisman, A., Schraven, B., Göthert, J. R., Nimmerjahn, F., & Gunzer, M.
- Venue
- Nature Methods
- Published
- 2015-03-16
- Volume
- 12
- Issue
- 5
- Pages
- 445-452
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W1987492371
- Cited by
- 277
- References
- 43
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
