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New GATEWAY vectors for High Throughput Analyses of Protein–Protein Interactions by Bimolecular Fluorescence Complementation
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Citations
Cited by
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Hille, R., Hall, J., & Basu, P. (2014) · Chemical Reviews · doi:10.1021/cr400443z · Cited by 1,738
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(2025) · doi:10.1073/pnas.2421334122 · Cited by 10
Gaertner, N. F., Maio, F., Arroyo-Mateos, M., Luna, A. P., Sabarit, B., Kwaaitaal, M., Eltschkner, S., Prins, M., Bejarano, E. R., & van den Burg, H. A. (2025) · Journal of Virology · doi:10.1128/jvi.01286-25 · Cited by 1
Metadata
- Authors
- Gehl, C., Waadt, R., Kudla, J., Mendel, R.-R., & Hänsch, R.
- Venue
- Molecular Plant
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 2
- Issue
- 5
- Pages
- 1051-1058
- ISSN
- 1674-2052 (ISSN-L)
- OpenAlex
- W2099322584
- Cited by
- 308
- References
- 0
- FWCI
- 5.44
- 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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How to cite
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- CoChat. (2026). Citation check: New GATEWAY vectors for High Throughput Analyses of Protein–Protein Interactions by Bimolecular Fluorescence Complementation. https://app.cochat.ai/papers/10.1093/mp/ssp040
- The paper
- Gehl, C., Waadt, R., Kudla, J., Mendel, R.-R., & Hänsch, R. (2009). New GATEWAY vectors for High Throughput Analyses of Protein–Protein Interactions by Bimolecular Fluorescence Complementation. Molecular Plant. https://doi.org/10.1093/mp/ssp040
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.
