J.F. Subra

827 total citations
9 papers, 604 citations indexed

About

J.F. Subra is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, J.F. Subra has authored 9 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Genetics and 2 papers in Surgery. Recurrent topics in J.F. Subra's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Acute Myeloid Leukemia Research (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). J.F. Subra is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Acute Myeloid Leukemia Research (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). J.F. Subra collaborates with scholars based in France, Australia and Italy. J.F. Subra's co-authors include Corinne Alberti, Yannick Le Meur, M. Büchler, Marie‐Anne Loriot, Bruno Moulin, A.-É. Heng, Gabriel Choukroun, Éric Thervet, Christophe Legendre and Philippe Beaune and has published in prestigious journals such as Cell Death and Differentiation, Clinical Pharmacology & Therapeutics and American Journal of Transplantation.

In The Last Decade

J.F. Subra

8 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.F. Subra France 7 285 232 152 111 109 9 604
Sophie Lechaton France 9 277 1.0× 57 0.2× 123 0.8× 32 0.3× 171 1.6× 9 634
S. Mulgaonkar United States 15 615 2.2× 144 0.6× 113 0.7× 10 0.1× 109 1.0× 37 924
P Hentschke Sweden 15 116 0.4× 69 0.3× 271 1.8× 25 0.2× 255 2.3× 25 791
M Bouvier United States 11 51 0.2× 84 0.4× 143 0.9× 41 0.4× 175 1.6× 29 688
S Barocci Italy 16 151 0.5× 55 0.2× 249 1.6× 10 0.1× 54 0.5× 53 693
Wil A. Allebes Netherlands 11 89 0.3× 29 0.1× 139 0.9× 23 0.2× 26 0.2× 24 395
Reo Tanoshima Japan 13 26 0.1× 136 0.6× 36 0.2× 41 0.4× 65 0.6× 40 456
Eileen W. Tsai United States 14 324 1.1× 79 0.3× 77 0.5× 5 0.0× 144 1.3× 16 647
A Moutabarrik Japan 13 85 0.3× 34 0.1× 164 1.1× 11 0.1× 32 0.3× 42 484
Kyosuke Kaji Japan 14 45 0.2× 40 0.2× 62 0.4× 16 0.1× 99 0.9× 22 509

Countries citing papers authored by J.F. Subra

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Subra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F. Subra. 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 J.F. Subra. The network helps show where J.F. Subra may publish in the future.

Co-authorship network of co-authors of J.F. Subra

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

All Works

9 of 9 papers shown
1.
Cunin, Pierre, Céline Beauvillain, Charline Miot, et al.. (2016). Clusterin facilitates apoptotic cell clearance and prevents apoptotic cell-induced autoimmune responses. Cell Death and Disease. 7(5). e2215–e2215. 88 indexed citations
2.
Pallet, Nicolas, Anne‐Sophie Jannot, Isabelle Étienne, et al.. (2015). Kidney Transplant Recipients Carrying the CYP3A4*22 Allelic Variant Have Reduced Tacrolimus Clearance and Often Reach Supratherapeutic Tacrolimus Concentrations. American Journal of Transplantation. 15(3). 800–805. 54 indexed citations
3.
Belizna, C., J.F. Subra, Daniel Henrion, et al.. (2013). Prognosis of vasculitis associated myelodysplasia. Autoimmunity Reviews. 12(10). 943–946. 7 indexed citations
4.
Hollanda, Ana de, Daniel Henrion, A. Ghali, et al.. (2011). Systemic and immune manifestations in myelodysplasia: A multicenter retrospective study. Arthritis Care & Research. 63(8). 1188–1194. 71 indexed citations
5.
Thervet, Éric, Marie‐Anne Loriot, S. Barbier, et al.. (2010). Optimization of Initial Tacrolimus Dose Using Pharmacogenetic Testing. Clinical Pharmacology & Therapeutics. 87(6). 721–6. 282 indexed citations
6.
Jaillon, Sébastien, Pascale Jeannin, Isabelle Frémaux, et al.. (2008). Endogenous PTX3 translocates at the membrane of late apoptotic human neutrophils and is involved in their engulfment by macrophages. Cell Death and Differentiation. 16(3). 465–474. 67 indexed citations
7.
Beauvillain, Céline, Yves Delneste, Gilles Rénier, et al.. (2008). Antineutrophil Cytoplasmic Autoantibodies: How Should the Biologist Manage Them?. Clinical Reviews in Allergy & Immunology. 35(1-2). 47–58. 34 indexed citations
8.
Cohen, Pascal, Dominique Roulot, Olivier Lortholary, et al.. (1994). Traitement des cryoglobulinémies mixtes par l'interféron alpha : résultats à un an d'une étude prospective ouverte multicentrique. La Revue de Médecine Interne. 15. 85s–85s.
9.

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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