Benoı̂t Fellay

785 total citations
20 papers, 566 citations indexed

About

Benoı̂t Fellay is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Benoı̂t Fellay has authored 20 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Benoı̂t Fellay's work include Multiple Sclerosis Research Studies (3 papers), RNA Interference and Gene Delivery (2 papers) and Immune Cell Function and Interaction (2 papers). Benoı̂t Fellay is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), RNA Interference and Gene Delivery (2 papers) and Immune Cell Function and Interaction (2 papers). Benoı̂t Fellay collaborates with scholars based in Switzerland, France and United States. Benoı̂t Fellay's co-authors include Jean‐Christoph Caubet, Laurent Kaiser, Barbara Lemaître, Philippe Eigenmann, Alain Gervaix, Beat Schwaller, Marco R. Celio, Alain Bloc, Valérie Salicio and V. Gotzos and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Scientific Reports.

In The Last Decade

Benoı̂t Fellay

20 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoı̂t Fellay Switzerland 11 230 140 114 101 76 20 566
Ikhyun Jun South Korea 19 31 0.1× 225 1.6× 43 0.4× 73 0.7× 47 0.6× 87 966
Stefanie Behrens Germany 13 45 0.2× 96 0.7× 60 0.5× 265 2.6× 50 0.7× 23 604
Lucien Gazi Switzerland 15 80 0.3× 372 2.7× 56 0.5× 21 0.2× 216 2.8× 20 712
Johanne D. Laporte United States 12 76 0.3× 269 1.9× 77 0.7× 27 0.3× 610 8.0× 12 1.0k
G. Calabria Italy 20 17 0.1× 255 1.8× 126 1.1× 100 1.0× 82 1.1× 77 1.4k
Niall Wilson United Kingdom 10 20 0.1× 96 0.7× 155 1.4× 325 3.2× 127 1.7× 23 634
Ryan J. Schutte United States 13 132 0.6× 151 1.1× 11 0.1× 17 0.2× 34 0.4× 18 510
Noriko Nomura Japan 15 21 0.1× 385 2.8× 29 0.3× 25 0.2× 74 1.0× 43 873
M. A. Lowman United Kingdom 7 36 0.2× 210 1.5× 295 2.6× 104 1.0× 318 4.2× 8 840
John Hoon Rim South Korea 18 40 0.2× 322 2.3× 19 0.2× 8 0.1× 65 0.9× 66 796

Countries citing papers authored by Benoı̂t Fellay

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Fellay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoı̂t Fellay

This figure shows the co-authorship network connecting the top 25 collaborators of Benoı̂t Fellay. A scholar is included among the top collaborators of Benoı̂t Fellay 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 Benoı̂t Fellay. Benoı̂t Fellay 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.
Fellay, Benoı̂t, et al.. (2022). Fibrin, Bone Marrow Cells and Macrophages Interactively Modulate Cardiomyoblast Fate. Biomedicines. 10(3). 527–527. 3 indexed citations
2.
Liang, Xiujie, et al.. (2021). Role of tubular epithelial arginase-II in renal inflammaging. SHILAP Revista de lepidopterología. 7(1). 5–5. 10 indexed citations
3.
Fellay, Benoı̂t, Antonello Calderoni, Laura Negretti, et al.. (2021). Circulating immune cell populations related to primary breast cancer, surgical removal, and radiotherapy revealed by flow cytometry analysis. Breast Cancer Research. 23(1). 64–64. 14 indexed citations
4.
Fellay, Benoı̂t, et al.. (2021). The „EPiQ“-Study (Evaluation of preanalytical quality): S-Monovette® in manual aspiration mode drastically reduces hemolytic samples in head-to-head study. Practical Laboratory Medicine. 27. e00252–e00252. 2 indexed citations
5.
6.
Wallimann, Alexandra, Isabelle Fellay, Nils Lannes, et al.. (2020). γδ T Cells Kill Plasmodium falciparum in a Granzyme- and Granulysin-Dependent Mechanism during the Late Blood Stage. The Journal of Immunology. 204(7). 1798–1809. 28 indexed citations
7.
Fellay, Benoı̂t, et al.. (2017). Substantial Inter-Subject Variability in Blood Pressure Responses to Glucose in a Healthy, Non-obese Population. Frontiers in Physiology. 8. 507–507. 5 indexed citations
8.
Arsenijevic, Denis, Jean‐François Cajot, Benoı̂t Fellay, et al.. (2016). Uninephrectomy-Induced Lipolysis and Low-Grade Inflammation Are Mimicked by Unilateral Renal Denervation. Frontiers in Physiology. 7. 227–227. 9 indexed citations
9.
Liu, Chang, Angana Gupta Rajapakse, Benoı̂t Fellay, et al.. (2016). Targeting arginase-II protects mice from high-fat-diet-induced hepatic steatosis through suppression of macrophage inflammation. Scientific Reports. 6(1). 20405–20405. 38 indexed citations
10.
Fellay, Benoı̂t, et al.. (2016). Evaluation of a DGP Point-of-care Test for Celiac Disease in a Pediatric Population. 3(1). 7–11. 1 indexed citations
11.
Fellay, Benoı̂t, et al.. (2016). Bevacizumab specifically decreases elevated levels of circulating KIT+CD11b+ cells and IL-10 in metastatic breast cancer patients. Oncotarget. 7(10). 11137–11150. 12 indexed citations
12.
Descombes, Éric, et al.. (2014). Oral Postdialysis Cholecalciferol Supplementation in Patients on Maintenance Hemodialysis: A Dose-Response Approach. International Journal of Nephrology. 2014. 1–10. 4 indexed citations
13.
Caubet, Jean‐Christoph, Laurent Kaiser, Barbara Lemaître, et al.. (2010). The role of penicillin in benign skin rashes in childhood: A prospective study based on drug rechallenge. Journal of Allergy and Clinical Immunology. 127(1). 218–222. 242 indexed citations
14.
Kantengwa, S, Michael A. Weber, Catherine Juillard, et al.. (2007). Inhibition of naive Th1 CD4+ T cells by glatiramer acetate in multiple sclerosis. Journal of Neuroimmunology. 185(1-2). 123–129. 17 indexed citations
15.
Fellay, Benoı̂t, et al.. (2001). Beneficial effect of co‐polymer 1 on cytokine production by CD4 T cells in multiple sclerosis. Immunology. 104(4). 383–391. 3 indexed citations
16.
Fellay, Benoı̂t, et al.. (2001). Calretinin and calbindin D-28k delay the onset of cell death after excitotoxic stimulation in transfected P19 cells. Brain Research. 909(1-2). 145–158. 78 indexed citations
17.
Chofflon, Michel & Benoı̂t Fellay. (1998). Monitoring Multiple Sclerosis course and activity with TNF-alpha. Multiple Sclerosis Journal. 4(3). 188–192. 3 indexed citations
18.
19.
Andressen, Christian, et al.. (1995). Changes in Shape and Motility of Cells Transfected with Parvalbumin cDNA. Experimental Cell Research. 219(2). 420–426. 20 indexed citations
20.
Kasas, Sandor, et al.. (1994). Observation of the action of penicillin on bacillus subtilis using atomic force microscopy: Technique for the preparation of bacteria. Surface and Interface Analysis. 21(6-7). 400–401. 31 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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