Roland P. Bourette

1.2k total citations
33 papers, 1.0k citations indexed

About

Roland P. Bourette is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Roland P. Bourette has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 14 papers in Oncology. Recurrent topics in Roland P. Bourette's work include Immune cells in cancer (12 papers), Cytokine Signaling Pathways and Interactions (8 papers) and interferon and immune responses (6 papers). Roland P. Bourette is often cited by papers focused on Immune cells in cancer (12 papers), Cytokine Signaling Pathways and Interactions (8 papers) and interferon and immune responses (6 papers). Roland P. Bourette collaborates with scholars based in France, United States and Australia. Roland P. Bourette's co-authors include Larry R. Rohrschneider, Guy Mouchiroud, Gary M. Myles, Éric Adriaenssens, Constance Vennin, Kristen Carlberg, Nathalie Spruyt, Xuefen Le Bourhis, François Bertucci and Pascal Finetti and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Roland P. Bourette

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland P. Bourette France 18 627 433 279 276 84 33 1.0k
R Yabkowitz United States 10 574 0.9× 246 0.6× 152 0.5× 352 1.3× 168 2.0× 12 880
Shiro Kataoka Japan 13 480 0.8× 183 0.4× 219 0.8× 103 0.4× 52 0.6× 27 717
Renaud Grépin France 16 601 1.0× 150 0.3× 278 1.0× 278 1.0× 41 0.5× 26 917
Lorenzo Federico United States 15 517 0.8× 258 0.6× 344 1.2× 77 0.3× 88 1.0× 26 1.0k
Satsuki Iwase Japan 17 595 0.9× 383 0.9× 543 1.9× 132 0.5× 41 0.5× 37 1.2k
Niranjan Yanamandra United States 18 441 0.7× 122 0.3× 265 0.9× 265 1.0× 88 1.0× 28 823
Aude Mallavialle France 15 409 0.7× 184 0.4× 337 1.2× 161 0.6× 75 0.9× 23 791
Isabella Pallavicini Italy 16 715 1.1× 112 0.3× 273 1.0× 291 1.1× 83 1.0× 20 1.0k
Brian Riesenberg United States 13 317 0.5× 321 0.7× 356 1.3× 125 0.5× 25 0.3× 17 857
Josephine Mun Yee Ko Hong Kong 24 831 1.3× 127 0.3× 491 1.8× 443 1.6× 51 0.6× 63 1.4k

Countries citing papers authored by Roland P. Bourette

Since Specialization
Citations

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

Fields of papers citing papers by Roland P. Bourette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland P. Bourette. 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 Roland P. Bourette. The network helps show where Roland P. Bourette may publish in the future.

Co-authorship network of co-authors of Roland P. Bourette

This figure shows the co-authorship network connecting the top 25 collaborators of Roland P. Bourette. A scholar is included among the top collaborators of Roland P. Bourette 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 Roland P. Bourette. Roland P. Bourette 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.
Guette, Catherine, Hubert Hondermarck, Roland P. Bourette, et al.. (2023). Mitochondrial adaptation decreases drug sensitivity of persistent triple negative breast cancer cells surviving combinatory and sequential chemotherapy. Neoplasia. 46. 100949–100949. 5 indexed citations
2.
Kandalla, Prashanth K., Clément Cocita, Bérengère de Laval, et al.. (2023). M‐CSF directs myeloid and NK cell differentiation to protect from CMV after hematopoietic cell transplantation. EMBO Molecular Medicine. 15(11). e17694–e17694. 13 indexed citations
3.
Vennin, Constance, Pamela Völkel, Pierre‐Olivier Angrand, et al.. (2020). Enhancement of Breast Cancer Cell Aggressiveness by lncRNA H19 and its Mir-675 Derivative: Insight into Shared and Different Actions. Cancers. 12(7). 1730–1730. 30 indexed citations
4.
Tian, Lü, Marie‐José Truong, Chann Lagadec, et al.. (2019). s-SHIP Promoter Expression Identifies Mouse Mammary Cancer Stem Cells. Stem Cell Reports. 13(1). 10–20. 6 indexed citations
5.
Vennin, Constance, et al.. (2015). Enrichment of Human Stem-Like Prostate Cells with s-SHIP Promoter Activity Uncovers a Role in Stemness for the Long Noncoding RNA H19. Stem Cells and Development. 24(10). 1252–1262. 43 indexed citations
6.
Vennin, Constance, Nathalie Spruyt, Fatima Zohra Dahmani, et al.. (2015). H19non coding RNA-derived miR-675 enhances tumorigenesis and metastasis of breast cancer cells by downregulating c-Cbl and Cbl-b. Oncotarget. 6(30). 29209–29223. 170 indexed citations
7.
Ji, Zongling, B. Leclercq, Roland P. Bourette, et al.. (2012). Anti-apoptotic Role of Caspase-cleaved GAB1 Adaptor Protein in Hepatocyte Growth Factor/Scatter Factor-MET Receptor Protein Signaling. Journal of Biological Chemistry. 287(42). 35382–35396. 5 indexed citations
8.
Mouchiroud, Guy, et al.. (2009). Macrophage differentiation of myeloid progenitor cells in response to M-CSF is regulated by the dual-specificity phosphatase DUSP5. Journal of Leukocyte Biology. 87(1). 127–135. 25 indexed citations
9.
Bourette, Roland P., et al.. (2006). E2a/Pbx1 oncogene inhibits terminal differentiation but not myeloid potential of pro-T cells. Oncogene. 26(2). 234–247. 13 indexed citations
10.
Bourette, Roland P., et al.. (2002). Induced Expression and Association of the Mona/Gads Adapter and Gab3 Scaffolding Protein during Monocyte/Macrophage Differentiation. Molecular and Cellular Biology. 22(11). 3744–3756. 34 indexed citations
11.
12.
Bourette, Roland P., et al.. (2001). Suppressor of Cytokine Signaling 1 Interacts with the Macrophage Colony-stimulating Factor Receptor and Negatively Regulates Its Proliferation Signal. Journal of Biological Chemistry. 276(25). 22133–22139. 36 indexed citations
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Novak, Ulrike, Sandra E. Nicholson, Roland P. Bourette, et al.. (1998). CSF-1 and Interferon-γ Act Synergistically to Promote Differentiation of FDC-P1 Cells into Macrophages. Growth Factors. 15(3). 159–171. 6 indexed citations
16.
17.
Bourette, Roland P., et al.. (1997). Sequential activation of phoshatidylinositol 3-kinase and phospholipase C-γ2 by the M-CSF receptor is necessary for differentiation signaling. The EMBO Journal. 16(19). 5880–5893. 93 indexed citations
18.
Rohrschneider, Larry R., Roland P. Bourette, Mario N. Lioubin, et al.. (1997). Growth and differentiation signals regulated by the M-CSF receptor. Molecular Reproduction and Development. 46(1). 96–103. 58 indexed citations
19.
Bourette, Roland P., et al.. (1992). Murine interleukin 9 stimulates the proliferation of mouse erythroid progenitor cells and favors the erythroid differentiation of multipotent FDCP-mix cells.. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Bourette, Roland P., et al.. (1992). Murine interleukin 9 stimulates the proliferation of mouse erythroid progenitor cells and favors the erythroid differentiation of multipotent FDCP-mix cells.. PubMed. 20(7). 868–73. 7 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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