Jérôme Bernard

1.7k total citations
37 papers, 1.4k citations indexed

About

Jérôme Bernard is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Jérôme Bernard has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Oncology and 9 papers in Hematology. Recurrent topics in Jérôme Bernard's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Jérôme Bernard is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Jérôme Bernard collaborates with scholars based in France, United States and Switzerland. Jérôme Bernard's co-authors include Pierre Galanaud, Yolande Richard, Eric A. Lefèvre, Roman Krzysiek, Arnaud Foussat, Yannick Jacques, Ariane Plet, Erwan Mortier, Josephine M. Atienza and Naichen Yu and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Jérôme Bernard

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Bernard France 18 635 450 275 228 197 37 1.4k
Tim Vanden Bos Canada 12 1.2k 1.9× 630 1.4× 482 1.8× 294 1.3× 89 0.5× 13 2.0k
M B Prystowsky United States 15 960 1.5× 681 1.5× 334 1.2× 201 0.9× 74 0.4× 28 1.7k
D. Joshua Australia 17 821 1.3× 674 1.5× 462 1.7× 730 3.2× 188 1.0× 34 2.2k
A. Ischenko Russia 23 835 1.3× 503 1.1× 150 0.5× 110 0.5× 107 0.5× 50 1.6k
Clare L. Abram United States 19 1.3k 2.1× 1.0k 2.2× 323 1.2× 251 1.1× 95 0.5× 28 2.6k
C. Thomas United Kingdom 21 353 0.6× 850 1.9× 192 0.7× 87 0.4× 112 0.6× 43 1.7k
Elisabetta Bianchi France 24 698 1.1× 857 1.9× 408 1.5× 236 1.0× 50 0.3× 51 1.9k
Anne Godard France 24 954 1.5× 608 1.4× 720 2.6× 103 0.5× 85 0.4× 77 1.8k
Miguel Á. de la Fuente Spain 26 1.1k 1.7× 813 1.8× 324 1.2× 170 0.7× 53 0.3× 65 2.3k
Christophe F. Grosset France 22 385 0.6× 930 2.1× 218 0.8× 246 1.1× 175 0.9× 53 1.9k

Countries citing papers authored by Jérôme Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Bernard

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Bernard. A scholar is included among the top collaborators of Jérôme Bernard 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 Jérôme Bernard. Jérôme Bernard 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.
Renou, Christophe, Jean‐Baptiste Nousbaum, Olivier Sire, et al.. (2023). Mid-Infrared Spectroscopy as a New Tool for Ruling Out Spontaneous Bacterial Peritonitis: A Proof-of-Concept Study. Biomedicines. 11(3). 838–838. 1 indexed citations
2.
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Anty, Rodolphe, Clémence M. Canivet, Stéphanie Patouraux, et al.. (2019). The mid-infrared spectroscopy: A novel non-invasive diagnostic tool for NASH diagnosis in severe obesity. JHEP Reports. 1(5). 361–368. 11 indexed citations
5.
Hoveyda, Hamid R., Graeme L. Fraser, Guillaume Dutheuil, et al.. (2018). N-Thiazolylamide-based free fatty-acid 2 receptor agonists: Discovery, lead optimization and demonstration of off-target effect in a diabetes model. Bioorganic & Medicinal Chemistry. 26(18). 5169–5180. 2 indexed citations
6.
Hannedouche, Sébastien, Valérie Beck, Juliet Leighton-Davies, et al.. (2013). Identification of the C3a Receptor (C3AR1) as the Target of the VGF-derived Peptide TLQP-21 in Rodent Cells. Journal of Biological Chemistry. 288(38). 27434–27443. 79 indexed citations
7.
Ferain, Thierry, Hamid R. Hoveyda, Frédéric Ooms, et al.. (2011). Agonist-Induced Internalization of CC Chemokine Receptor 5 as a Mechanism to Inhibit HIV Replication. Journal of Pharmacology and Experimental Therapeutics. 337(3). 655–662. 17 indexed citations
8.
Kovanen, Panu E., Jérôme Bernard, Amin Al-Shami, et al.. (2008). T-cell Development and Function Are Modulated by Dual Specificity Phosphatase DUSP5. Journal of Biological Chemistry. 283(25). 17362–17369. 49 indexed citations
9.
Mannone, Lionel, Claude Gardin, Jérôme Bernard, et al.. (2006). High‐dose darbepoetin alpha in the treatment of anaemia of lower risk myelodysplastic syndrome results of a phase II study. British Journal of Haematology. 133(5). 513–519. 72 indexed citations
10.
Bernard, Jérôme, et al.. (2005). Dynamics of the inositol 1,4,5-trisphosphate receptor during polarisation of MDCK cells. UCL Discovery (University College London). 7 indexed citations
11.
Bernard, Jérôme, et al.. (2005). Dynamics of the Ins(1,4,5)P3 receptor during polarization of MDCK cells. Biology of the Cell. 97(9). 699–707. 21 indexed citations
12.
Mortier, Erwan, Jérôme Bernard, Ariane Plet, & Yannick Jacques. (2004). Natural, Proteolytic Release of a Soluble Form of Human IL-15 Receptor α-Chain That Behaves as a Specific, High Affinity IL-15 Antagonist. The Journal of Immunology. 173(3). 1681–1688. 114 indexed citations
13.
Bernard, Jérôme, Erwan Mortier, Agnès Quéméner, et al.. (2004). Identification of an Interleukin-15α Receptor-binding Site on Human Interleukin-15. Journal of Biological Chemistry. 279(23). 24313–24322. 49 indexed citations
14.
Bernard, Jérôme, Dominique Treton, Philippe Horellou, et al.. (2001). Expression of Interleukin 13 Receptor in Glioma and Renal Cell Carcinoma: IL13Rα2 as a Decoy Receptor for IL13. Laboratory Investigation. 81(9). 1223–1231. 66 indexed citations
15.
Dubois, Sigrid, Florence Magrangeas, Philippe Lehours, et al.. (1999). Natural Splicing of Exon 2 of Human Interleukin-15 Receptor α-Chain mRNA Results in a Shortened Form with a Distinct Pattern of Expression. Journal of Biological Chemistry. 274(38). 26978–26984. 74 indexed citations
16.
Krzysiek, Roman, Eric A. Lefèvre, Weiping Zou, et al.. (1999). Antigen Receptor Engagement Selectively Induces Macrophage Inflammatory Protein-1α (MIP-1α) and MIP-1β Chemokine Production in Human B Cells. The Journal of Immunology. 162(8). 4455–4463. 96 indexed citations
17.
Façon, Thierry, Jean-François Ménard, J. L. Michaux, et al.. (1995). Prognostic factors in low tumour mass asymptomatic multiple myeloma: A report on 91 patients. American Journal of Hematology. 48(2). 71–75. 28 indexed citations
18.
Mathiot, Claire, Jean‐Luc Teillaud, Véronique Mosseri, et al.. (1993). Correlation between soluble serum CD16 (sCD16) levels and disease stage in patients with multiple myeloma. Journal of Clinical Immunology. 13(1). 41–48. 33 indexed citations
19.
Monconduit, M, Jean-François Ménard, J. L. Michaux, et al.. (1992). VAD or VMBCP in severe multiple myeloma. British Journal of Haematology. 80(2). 199–204. 16 indexed citations
20.
Brière, J, et al.. (1976). [Acute or subacute myelofibrosis].. PubMed. 16(1). 3–22. 3 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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