Anne Poupon

3.7k total citations
80 papers, 2.5k citations indexed

About

Anne Poupon is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anne Poupon has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 23 papers in Materials Chemistry and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anne Poupon's work include Enzyme Structure and Function (23 papers), Protein Structure and Dynamics (21 papers) and Receptor Mechanisms and Signaling (21 papers). Anne Poupon is often cited by papers focused on Enzyme Structure and Function (23 papers), Protein Structure and Dynamics (21 papers) and Receptor Mechanisms and Signaling (21 papers). Anne Poupon collaborates with scholars based in France, United States and United Arab Emirates. Anne Poupon's co-authors include Jean‐Paul Mornon, Éric Reiter, Pascale Crépieux, J.-P. Mornon, Isabelle Callebaut, Jacques Chomilier, Gilles Labesse, Luc Canard, Bernard Henrissat and Patrick Durand and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anne Poupon

78 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne Poupon France 27 1.8k 436 250 243 233 80 2.5k
Stefania Gonfloni Italy 23 1.5k 0.8× 149 0.3× 201 0.8× 262 1.1× 194 0.8× 32 2.4k
Kevin Truong Canada 17 1.6k 0.9× 134 0.3× 184 0.7× 358 1.5× 168 0.7× 66 2.4k
Zongli Li United States 28 1.6k 0.9× 136 0.3× 285 1.1× 214 0.9× 84 0.4× 56 3.2k
Yuxing Liao United States 13 2.1k 1.2× 230 0.5× 386 1.5× 158 0.7× 28 0.1× 25 3.2k
Stanley D. Dunn Canada 38 3.8k 2.1× 293 0.7× 347 1.4× 110 0.5× 35 0.2× 89 4.4k
K Murakami Japan 35 2.8k 1.5× 182 0.4× 507 2.0× 402 1.7× 97 0.4× 106 4.8k
Friedrich W. Herberg Germany 41 4.0k 2.2× 359 0.8× 337 1.3× 508 2.1× 28 0.1× 153 5.1k
Jiří Novotný Czechia 29 2.3k 1.3× 410 0.9× 242 1.0× 282 1.2× 36 0.2× 91 3.2k
Oliver Rinner Switzerland 30 4.5k 2.5× 281 0.6× 212 0.8× 293 1.2× 26 0.1× 40 5.9k
Ricardo Núñez Miguel United Kingdom 26 1.2k 0.6× 95 0.2× 262 1.0× 164 0.7× 78 0.3× 46 2.0k

Countries citing papers authored by Anne Poupon

Since Specialization
Citations

This map shows the geographic impact of Anne Poupon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anne Poupon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Poupon more than expected).

Fields of papers citing papers by Anne Poupon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Poupon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anne Poupon. The network helps show where Anne Poupon may publish in the future.

Co-authorship network of co-authors of Anne Poupon

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Poupon. A scholar is included among the top collaborators of Anne Poupon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne Poupon. Anne Poupon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Musnier, Astrid, et al.. (2024). Applying artificial intelligence to accelerate and de-risk antibody discovery. SHILAP Revista de lepidopterología. 4. 7 indexed citations
2.
Gauthier, Camille, Linda Beauclair, Yves Bigot, et al.. (2023). Combined Multiplexed Phage Display, High-Throughput Sequencing, and Functional Assays as a Platform for Identifying Modulatory VHHs Targeting the FSHR. International Journal of Molecular Sciences. 24(21). 15961–15961. 3 indexed citations
3.
Musnier, Astrid, Thomas Bourquard, Gilles Bruneau, et al.. (2022). A New in Silico Antibody Similarity Measure Both Identifies Large Sets of Epitope Binders with Distinct CDRs and Accurately Predicts Off-Target Reactivity. International Journal of Molecular Sciences. 23(17). 9765–9765. 7 indexed citations
4.
Dang, Kevin, Laure‐Hélène Ouisse, Benjamin Buelow, et al.. (2022). TNB-738, a biparatopic antibody, boosts intracellular NAD+ by inhibiting CD38 ecto-enzyme activity. mAbs. 14(1). 2095949–2095949. 19 indexed citations
6.
Bourquard, Thomas, Astrid Musnier, Mohammed Akli Ayoub, et al.. (2018). MAbTope: A Method for Improved Epitope Mapping. The Journal of Immunology. 201(10). 3096–3105. 26 indexed citations
7.
Pascali, Francesco De, Flavie Landomiel, Véronique Bozon, et al.. (2018). Follicle-Stimulating Hormone Receptor: Advances and Remaining Challenges. International review of cell and molecular biology. 338. 1–58. 20 indexed citations
8.
Reiter, Éric, Mohammed Akli Ayoub, Lucie P. Pellissier, et al.. (2017). β-arrestin signalling and bias in hormone-responsive GPCRs. Molecular and Cellular Endocrinology. 449. 28–41. 33 indexed citations
9.
Vayne, Caroline, Steven E. McKenzie, Anne Poupon, et al.. (2017). 5B9, a monoclonal antiplatelet factor 4/heparin IgG with a human Fc fragment that mimics heparin‐induced thrombocytopenia antibodies. Journal of Thrombosis and Haemostasis. 15(10). 2065–2075. 26 indexed citations
10.
Ayoub, Mohammed Akli, Flavie Landomiel, Nathalie Gallay, et al.. (2015). Assessing Gonadotropin Receptor Function by Resonance Energy Transfer-Based Assays. Frontiers in Endocrinology. 6. 130–130. 46 indexed citations
11.
Landomiel, Flavie, Nathalie Gallay, Guillaume Durand, et al.. (2013). Biased signalling in follicle stimulating hormone action. Molecular and Cellular Endocrinology. 382(1). 452–459. 47 indexed citations
12.
Leon, Kelly E., Nathalie Gallay, Anne Poupon, et al.. (2013). Integrating microRNAs into the complexity of gonadotropin signaling networks. Frontiers in Cell and Developmental Biology. 1. 3–3. 9 indexed citations
13.
Bourquard, Thomas, Julie Bernauer, Jérôme Azé, & Anne Poupon. (2011). A Collaborative Filtering Approach for Protein-Protein Docking Scoring Functions. PLoS ONE. 6(4). e18541–e18541. 24 indexed citations
14.
Ulloa‐Aguirre, Alfredo, Pascale Crépieux, Anne Poupon, Marie‐Christine Maurel, & Éric Reiter. (2011). Novel pathways in gonadotropin receptor signaling and biased agonism. Reviews in Endocrine and Metabolic Disorders. 12(4). 259–274. 47 indexed citations
15.
Poupon, Anne & J. Janin. (2009). Analysis and Prediction of Protein Quaternary Structure. Methods in molecular biology. 609. 349–364. 24 indexed citations
16.
Azé, Jérôme, Claire Toffano‐Nioche, Valentin Loux, et al.. (2008). Towards a semi-automatic functional annotation tool based on decision-tree techniques. BMC Proceedings. 2(S4). S3–S3. 3 indexed citations
17.
Prilusky, Jaime, Nathalie Ulryck, Anne Pajon, et al.. (2005). HalX: an open-source LIMS (Laboratory Information Management System) for small- to large-scale laboratories. Acta Crystallographica Section D Biological Crystallography. 61(6). 671–678. 19 indexed citations
18.
Quevillon‐Chéruel, Sophie, Dominique Liger, Nicolas Leulliot, et al.. (2004). The Paris-Sud yeast structural genomics pilot-project: from structure to function. Biochimie. 86(9-10). 617–623. 10 indexed citations
19.
Souchet, Michel, Anne Poupon, Isabelle Callebaut, et al.. (2000). Functional specificity conferred by the unique plasticity of fully α‐helical Ras and Rho GAPs. FEBS Letters. 477(1-2). 99–105. 4 indexed citations
20.
Poupon, Anne & Jean‐Paul Mornon. (1999). Predicting the protein folding nucleus from a sequence. FEBS Letters. 452(3). 283–289. 42 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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