Jean‐Jacques Lebrun

4.4k citations
68 papers · 3.6k indexed · h-index 32
Topics
TGF-β signaling in diseases (29 papers)Cancer Cells and Metastasis (12 papers)Cancer-related Molecular Pathways (11 papers)

In The Last Decade

Jean‐Jacques Lebrun

68 papers receiving 3.5k citations

Peers

Jean‐Jacques Lebrun
Comparison fields: 5 of 114
  • Molecular Biology 2.2k
  • Oncology 1.4k
  • Endocrinology, Diabetes and Metabolism 524
  • Cancer Research 518
  • Immunology 511
Replace Corinne Bousquet with:
Corinne Bousquet France
Hippokratis Kiaris United States
Bassem R. Haddad United States
Alessandra Vacca Italy
Gustavo E. Ayala United States
Brian M. Necela United States
Masatoshi Ichihara Japan
Antonietta R. Farina Italy
Shlomit Halachmi Israel
Eliza Vasile United States
Jean‐Jacques Lebrun relative to Corinne Bousquet France Corinne Bousquet's profile →
Citations per field
00.5×1.5×
Corinne Bousquet · 1×
Citations per year

Countries citing papers authored by Jean‐Jacques Lebrun

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Jacques Lebrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Jacques Lebrun

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Jacques Lebrun. A scholar is included among the top collaborators of Jean‐Jacques Lebrun 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 Jean‐Jacques Lebrun. Jean‐Jacques Lebrun 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
#WorkIndexed citations
1 2
2 2
3 18
4 81
5 32
6 15
7 24
8 11
9 31
10 26
11 23
12 9
13 62
14 34
15 299
16 39
17 138
18 89
19 17
20 149

About Jean‐Jacques Lebrun

Jean‐Jacques Lebrun is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 68 papers that have together received 3.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (29 papers), Cancer Cells and Metastasis (12 papers) and Cancer-related Molecular Pathways (11 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (518 citations) and Molecular Biology (2.2k citations). Jean‐Jacques Lebrun has collaborated with scholars based in Canada, United States and United Arab Emirates. Frequent co-authors include Suhad Ali, Paul A. Kelly, Wylie Vale, Jean-Charles Neel, Laure Humbert, Eftihia Cocolakis, Yan Chen, Lucie Canaff, Sajid Ali and Isabelle Pellegrini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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