The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
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Citations
Cites
A new class of membrane-bound chemokine with a CX3C motif
Bazan, J. F., Bacon, K. B., Hardiman, G., Wang, W., Soo, K., Rossi, D., Greaves, D. R., Zlotnik, A., & Schall, T. J. (1997) · Nature · doi:10.1038/385640a0 · Cited by 2,013
Turnover of resident microglia in the normal adult mouse brain
Lawson, L. J., Perry, V. H., & Gordon, S. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90500-2 · Cited by 709
Cited by
Items 201–210 of 210
Reprint of: Monocyte subsets in man and other species
Ziegler-Heitbrock, L. (2014) · Cellular Immunology · doi:10.1016/j.cellimm.2014.06.008 · Cited by 40
Handoko, H. Y., Rodero, M. P., Boyle, G. M., Ferguson, B., Engwerda, C., Hill, G., Konrad Muller, H., Khosrotehrani, K., & Walker, G. J. (2013) · Journal of Investigative Dermatology · doi:10.1038/jid.2013.9 · Cited by 36
Davison, A. M., & King, N. J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1002682 · Cited by 35
Sun, D., Zhang, M., Sun, P., Liu, G., Strickland, A. B., Chen, Y., Fu, Y., Yosri, M., & Shi, M. (2020) · PLOS Pathogens · doi:10.1371/journal.ppat.1008361 · Cited by 34
Fungal Infection in the Brain: What We Learned from Intravital Imaging
Shi, M., & Mody, C. H. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00292 · Cited by 33
Spiteri, A. G., Wishart, C. L., & King, N. J. C. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.600822 · Cited by 31
Bartalska, K., Hübschmann, V., Korkut-Demirbaş, M., Cubero, R. J. A., Venturino, A., Rössler, K., Czech, T., & Siegert, S. (2022) · iScience · doi:10.1016/j.isci.2022.104580 · Cited by 22
Role of NR4A family members in myeloid cells and leukemia
Boulet, S., Le Corre, L., Odagiu, L., & Labrecque, N. (2022) · Current Research in Immunology · doi:10.1016/j.crimmu.2022.02.001 · Cited by 17
Khajuria, D. K., Reider, I., Kamal, F., Norbury, C. C., & Elbarbary, R. A. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1250309 · Cited by 15
Aging and menopause reprogram osteoclast precursors for aggressive bone resorption
Møller, A. M. J., Delaissé, J.-M., Olesen, J. B., Madsen, J. S., Canto, L. M., Bechmann, T., Rogatto, S. R., & Søe, K. (2020) · Bone Research · doi:10.1038/s41413-020-0102-7 · Cited by 6
Metadata
- Authors
- Geissmann, F., Jung, S., & Littman, D. R.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 19
- Issue
- 1
- Pages
- 71-82
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W2026578487
- Cited by
- 3,391
- References
- 2
- FWCI
- 32.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
