J. Martinet

2.0k total citations
67 papers, 934 citations indexed

About

J. Martinet is a scholar working on Agronomy and Crop Science, Epidemiology and Molecular Biology. According to data from OpenAlex, J. Martinet has authored 67 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Agronomy and Crop Science, 14 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in J. Martinet's work include Reproductive Physiology in Livestock (18 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and CAR-T cell therapy research (5 papers). J. Martinet is often cited by papers focused on Reproductive Physiology in Livestock (18 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and CAR-T cell therapy research (5 papers). J. Martinet collaborates with scholars based in France, United States and United Kingdom. J. Martinet's co-authors include R Denamur, G. Kann, Olivier Boyer, Kaïs Hussain Al-Gubory, R. V. Short, A. Schirar, Joël Plumas, Caroline Aspord, Sylvie Larrat and Tania Dufeu‐Duchesne and has published in prestigious journals such as Nature, Blood and Gastroenterology.

In The Last Decade

J. Martinet

60 papers receiving 842 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. Martinet France 18 316 231 190 155 105 67 934
J. C. Poirier France 16 146 0.5× 33 0.1× 185 1.0× 148 1.0× 90 0.9× 59 736
Marta Leon‐Monzon United States 15 116 0.4× 280 1.2× 28 0.1× 204 1.3× 96 0.9× 22 881
C. Bernard France 15 108 0.3× 67 0.3× 131 0.7× 50 0.3× 17 0.2× 27 716
Inmaculada Molina Spain 14 47 0.1× 133 0.6× 56 0.3× 27 0.2× 27 0.3× 46 576
Leonard L. Seelig United States 18 34 0.1× 138 0.6× 46 0.2× 309 2.0× 48 0.5× 52 958
Cherié Butts United States 14 29 0.1× 66 0.3× 83 0.4× 418 2.7× 37 0.4× 25 828
J. Detilleux Belgium 16 186 0.6× 61 0.3× 171 0.9× 79 0.5× 14 0.1× 36 768
Elena Belyavskaya United States 14 25 0.1× 57 0.2× 60 0.3× 199 1.3× 26 0.2× 41 676
José María Sánchez Ireland 21 542 1.7× 32 0.1× 386 2.0× 386 2.5× 46 0.4× 90 1.2k
Noboru Matsuzaki Japan 26 178 0.6× 459 2.0× 119 0.6× 1.0k 6.7× 37 0.4× 53 1.9k

Countries citing papers authored by J. Martinet

Since Specialization
Citations

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

Fields of papers citing papers by J. Martinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Martinet

This figure shows the co-authorship network connecting the top 25 collaborators of J. Martinet. A scholar is included among the top collaborators of J. Martinet 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. Martinet. J. Martinet 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.
Demetres, Michelle, Kai Rejeski, Michael Scordo, et al.. (2025). Safety and efficacy of bridging radiation therapy prior to CD19 CAR T for non-Hodgkin lymphoma: a systematic review and meta-analysis. Haematologica. 111(3). 876–891.
2.
Couderc, L., et al.. (2023). The combination of Ara h 2‐sIgE and basophil activation test could be an alternative to oral food challenge in cases of suspected peanut allergy. Pediatric Allergy and Immunology. 34(8). e14007–e14007. 1 indexed citations
3.
Sugita, Mayumi, Takahiro Yamazaki, Leandro Marcelo Martinez, et al.. (2023). Low Dose Total Body Irradiation Improves CD19 CAR-T Expansion, Persistence, and Trafficking, Leading to Enhanced Efficacy in Large B-Cell Lymphoma. Blood. 142(Supplement 1). 1016–1016. 2 indexed citations
4.
Drouot, Laurent, J. Martinet, Chantal Bécourt, et al.. (2023). Icos gene disruption in non‐obese diabetic mice elicits myositis associated with anti‐troponin T3 autoantibodies. Neuropathology and Applied Neurobiology. 49(1). e12889–e12889. 3 indexed citations
5.
Gandolfi, S., et al.. (2023). Stromal vascular fraction in the treatment of myositis. Cell Death Discovery. 9(1). 346–346. 8 indexed citations
6.
Sugita, Mayumi, Takahiro Yamazaki, J. Martinet, et al.. (2023). Radiation therapy improves CAR T cell activity in acute lymphoblastic leukemia. Cell Death and Disease. 14(5). 305–305. 22 indexed citations
7.
Mahay, Guillaume, et al.. (2021). Medical algorithm: Aspergillus fumigatus components in the diagnosis of allergic bronchopulmonary aspergillosis. Allergy. 77(1). 327–330. 5 indexed citations
8.
Yamazaki, Tomoo, Mayumi Sugita, J. Martinet, et al.. (2020). Boosting CAR T Cell Expansion and Therapeutic Activity with Low-dose Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 108(3). S158–S159. 5 indexed citations
9.
Nicol, Lionel, Paul Mulder, J. Martinet, et al.. (2017). Value of magnetic resonance imaging for evaluating muscle inflammation: insights from a new mouse model of myositis. Neuropathology and Applied Neurobiology. 44(5). 537–540. 2 indexed citations
10.
Simon, Jean-Philippe, et al.. (2016). Immune-mediated necrotizing myopathy. Zeitschrift für Rheumatologie. 75(2). 151–156. 25 indexed citations
11.
Simon, Jean-Philippe, I. Marie, F. Jouen, Olivier Boyer, & J. Martinet. (2016). Autoimmune Myopathies: Where Do We Stand?. Frontiers in Immunology. 7. 234–234. 17 indexed citations
12.
Oro, S., C. Fite, L. Valeyrie‐Allanore, et al.. (2015). Rituximab, a new treatment for difficult‐to‐treat chronic erythema multiforme major? Five cases. Journal of the European Academy of Dermatology and Venereology. 30(7). 1140–1143. 10 indexed citations
13.
Martinet, J., Vincent Leroy, Tania Dufeu‐Duchesne, et al.. (2012). Plasmacytoid dendritic cells induce efficient stimulation of antiviral immunity in the context of chronic hepatitis B virus infection. Hepatology. 56(5). 1706–1718. 35 indexed citations
14.
Mercier, J.C., F. Grosclaude, J. Martinet, L. M. Houdebine, & H.H. Head. (1993). Molecular genetics of milk proteins and their genes.. 319–347. 2 indexed citations
15.
Al-Gubory, Kaïs Hussain, et al.. (1992). Evidence for a gonadal nonsteroidal factor that specifically inhibits release of luteinizing hormone in ewes. Reproduction. 96(2). 509–519. 2 indexed citations
16.
Schirar, A., et al.. (1990). Resumption of gonadotrophin release during the post-partum period in suckling and non-suckling ewes. Reproduction. 88(2). 593–604. 35 indexed citations
17.
Martinet, J., M. Morag, & R Denamur. (1976). THE ROLE OF EXOGENOUS OXYTOCIN IN LACTATING EWE. annales de biologie animale biochimie biophysique. 16(6). 833–849. 3 indexed citations
18.
Kann, G. & J. Martinet. (1975). Prolactin levels and duration of postpartum anoestrus in lactating ewes. Nature. 257(5521). 63–64. 57 indexed citations
19.
Denamur, R, J. Martinet, & R. V. Short. (1970). MODE OF ACTION OF OESTROGEN IN MAINTAINING THE FUNCTIONAL LIFE OF CORPORA LUTEA IN SHEEP. Reproduction. 23(1). 109–116. 13 indexed citations
20.
Martinet, J. & R Denamur. (1960). Preliminary study of the mechanisms of milk ejection from the mammary gland of goats and ewes.. 14(1). 35–96. 1 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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