Caroline Choisy-Rossi

485 total citations
8 papers, 348 citations indexed

About

Caroline Choisy-Rossi is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Caroline Choisy-Rossi has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Caroline Choisy-Rossi's work include Diabetes and associated disorders (4 papers), Cancer-related Molecular Pathways (3 papers) and Cancer Research and Treatments (3 papers). Caroline Choisy-Rossi is often cited by papers focused on Diabetes and associated disorders (4 papers), Cancer-related Molecular Pathways (3 papers) and Cancer Research and Treatments (3 papers). Caroline Choisy-Rossi collaborates with scholars based in France and United States. Caroline Choisy-Rossi's co-authors include Monique Vacher, A Duthu, M Canivet, Evelyne May, Véronique Bouvard, Elisheva Yonish-Rouach, Philippe Reisdorf, David Serreze, Edward H. Leiter and Alexander V. Chervonsky and has published in prestigious journals such as The Journal of Immunology, Diabetes and Oncogene.

In The Last Decade

Caroline Choisy-Rossi

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Choisy-Rossi France 8 189 139 98 90 52 8 348
Christelle Dubey Switzerland 5 313 1.7× 127 0.9× 44 0.4× 48 0.5× 53 1.0× 10 428
J. Milliken Australia 10 105 0.6× 151 1.1× 197 2.0× 44 0.5× 92 1.8× 14 379
Alina Rembiszewska Poland 12 298 1.6× 98 0.7× 94 1.0× 49 0.5× 92 1.8× 24 490
Caterina Chiodino Italy 8 172 0.9× 76 0.5× 25 0.3× 74 0.8× 54 1.0× 13 311
Guo‐Qing Tao China 10 164 0.9× 167 1.2× 40 0.4× 31 0.3× 62 1.2× 19 333
D. R. Schwartz United States 8 218 1.2× 127 0.9× 59 0.6× 96 1.1× 67 1.3× 13 422
N. Gavalas Greece 7 166 0.9× 92 0.7× 49 0.5× 120 1.3× 46 0.9× 9 337
Nguyet M. Hoang United States 7 175 0.9× 109 0.8× 48 0.5× 23 0.3× 42 0.8× 9 287
Tenghua Yu China 10 213 1.1× 157 1.1× 139 1.4× 41 0.5× 127 2.4× 30 380
Judit López‐Luque Spain 8 179 0.9× 95 0.7× 41 0.4× 80 0.9× 70 1.3× 8 368

Countries citing papers authored by Caroline Choisy-Rossi

Since Specialization
Citations

This map shows the geographic impact of Caroline Choisy-Rossi'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 Caroline Choisy-Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Choisy-Rossi more than expected).

Fields of papers citing papers by Caroline Choisy-Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Choisy-Rossi. 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 Caroline Choisy-Rossi. The network helps show where Caroline Choisy-Rossi may publish in the future.

Co-authorship network of co-authors of Caroline Choisy-Rossi

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Choisy-Rossi. A scholar is included among the top collaborators of Caroline Choisy-Rossi 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 Caroline Choisy-Rossi. Caroline Choisy-Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Serreze, David, Caroline Choisy-Rossi, Harold D. Chapman, et al.. (2008). Through Regulation of TCR Expression Levels, an Idd7 Region Gene(s) Interactively Contributes to the Impaired Thymic Deletion of Autoreactive Diabetogenic CD8+ T Cells in Nonobese Diabetic Mice. The Journal of Immunology. 180(5). 3250–3259. 19 indexed citations
2.
Leiter, Edward H., Peter C. Reifsnyder, John P. Driver, et al.. (2007). Unexpected functional consequences of xenogeneic transgene expression in β‐cells of NOD mice. Diabetes Obesity and Metabolism. 9(s2). 14–22. 13 indexed citations
3.
Serreze, David, Thomas M. Holl, Michele P. Marron, et al.. (2004). MHC Class II Molecules Play a Role in the Selection of Autoreactive Class I-Restricted CD8 T Cells That Are Essential Contributors to Type 1 Diabetes Development in Nonobese Diabetic Mice. The Journal of Immunology. 172(2). 871–879. 36 indexed citations
4.
Schott, William, Hubert M. Tse, Jon D. Piganelli, et al.. (2004). Caspase-1 Is Not Required for Type 1 Diabetes in the NOD Mouse. Diabetes. 53(1). 99–104. 48 indexed citations
5.
Bouvard, Véronique, Monique Vacher, A Duthu, et al.. (2000). Tissue and cell-specific expression of the p53-target genes: bax, fas, mdm2 and waf1/p21, before and following ionising irradiation in mice. Oncogene. 19(5). 649–660. 170 indexed citations
6.
Choisy-Rossi, Caroline, Philippe Reisdorf, & Elisheva Yonish-Rouach. (1999). The p53 Tumor Suppressor Gene: Structure, Function and Mechanism of Action. Results and problems in cell differentiation. 23. 145–172. 9 indexed citations
7.
Choisy-Rossi, Caroline, et al.. (1998). Mechanisms of p53-induced apoptosis. Toxicology Letters. 95. 24–24. 19 indexed citations
8.
Choisy-Rossi, Caroline, Philippe Reisdorf, & Elisheva Yonish-Rouach. (1998). Mechanisms of p53-induced apoptosis: in search of genes which are regulated during p53-mediated cell death. Toxicology Letters. 102-103. 491–496. 34 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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2026