Christine Jean

141 total papers · 4.0k total citations
52 papers, 2.9k citations indexed

About

Christine Jean is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Christine Jean has authored 52 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Immunology. Recurrent topics in Christine Jean's work include Cell Adhesion Molecules Research (9 papers), Immune Cell Function and Interaction (6 papers) and Pancreatic function and diabetes (5 papers). Christine Jean is often cited by papers focused on Cell Adhesion Molecules Research (9 papers), Immune Cell Function and Interaction (6 papers) and Pancreatic function and diabetes (5 papers). Christine Jean collaborates with scholars based in France, Canada and United States. Christine Jean's co-authors include David D. Schlaepfer, Florian J. Sulzmaier, Jean‐Jacques Fournié, Conrad Cloutier, Isabelle Tancioni, Christine Lawson, Xiao Lei Chen, Sean Uryu, Guy Laurent and Serge Yelle and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Nature reviews. Cancer.

In The Last Decade

Christine Jean

49 papers receiving 2.8k citations

Hit Papers

FAK in cancer: mechanisti... 2014 2026 2018 2022 2014 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christine Jean 1.5k 790 612 544 460 52 2.9k
Roman Szabo 1.6k 1.1× 453 0.6× 636 1.0× 549 1.0× 409 0.9× 55 3.5k
Albert J.T. Millis 1.2k 0.8× 466 0.6× 215 0.4× 190 0.3× 409 0.9× 47 2.1k
Kai Schledzewski 1.6k 1.1× 723 0.9× 278 0.5× 484 0.9× 1.4k 3.0× 58 3.7k
Geraldine M. O’Neill 1.7k 1.1× 532 0.7× 692 1.1× 1.1k 2.1× 259 0.6× 78 3.0k
Takeshi Matsui 1.7k 1.2× 458 0.6× 446 0.7× 1.1k 1.9× 297 0.6× 55 3.6k
Georgia Sotiropoulou 1.7k 1.2× 1.1k 1.3× 337 0.6× 429 0.8× 266 0.6× 92 4.1k
Ulrike Lichti 2.1k 1.5× 647 0.8× 186 0.3× 1.1k 2.0× 436 0.9× 46 3.9k
Shuan Shian Huang 2.4k 1.6× 670 0.8× 353 0.6× 664 1.2× 323 0.7× 75 3.9k
Karin List 1.2k 0.8× 511 0.6× 606 1.0× 524 1.0× 361 0.8× 42 2.9k
Daisuke Nanba 1.0k 0.7× 560 0.7× 233 0.4× 420 0.8× 183 0.4× 48 2.1k

Countries citing papers authored by Christine Jean

Since Specialization
Citations

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

Fields of papers citing papers by Christine Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine Jean. 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 Christine Jean. The network helps show where Christine Jean may publish in the future.

Co-authorship network of co-authors of Christine Jean

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

All Works

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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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