Jean-Marie Jaspar

1.1k citations
17 papers · 847 indexed · h-index 15

Jean-Marie Jaspar

17 papers receiving 809 citations

Peers

Jean-Marie Jaspar
Comparison fields: 5 of 84
  • Rheumatology 397
  • Hematology 122
  • Cancer Research 156
  • Reproductive Medicine 60
  • Immunology and Allergy 43
Replace Tania Silvestri with:
Tania Silvestri Italy
Ayako Ueki Japan
Valentina Indio Italy
E Abe Japan
Jacqueline Quach United States
Fumitaka Morito Japan
Fujio Nakazawa Japan
José Ramón Lamas Spain
Nataša Kovačić Croatia
Toshiyuki Bohgaki Japan
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Citations per year

Countries citing papers authored by Jean-Marie Jaspar

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marie Jaspar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marie Jaspar. 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 Jean-Marie Jaspar. The network helps show where Jean-Marie Jaspar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jean-Marie Jaspar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jean-Marie Jaspar Line = papers co-authored together Jean-Marie Jaspar links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002171
2
Matrix metalloproteinase-3 serum levels are correlated with disease activity and predict clinical response in rheumatoid arthritis.
200066
3 200055
4 199958
5 199943
6 199873
7 1997144
8 199341
9 199031
10 19904
11 199016
12 198917
13 19873
14 198636
15
Presence of alpha-lactalbumin, epidermal growth factor, epithelial membrane antigen, and gross cystic disease fluid protein (15,000 daltons) in breast cyst fluid.
198640
16 198532
17 198317

About Jean-Marie Jaspar

Jean-Marie Jaspar is a scholar working on Reproductive Medicine, Rheumatology and Agronomy and Crop Science, having authored 17 papers that have together received 847 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Reproductive Biology and Fertility (3 papers), Reproductive Physiology in Livestock (3 papers), Protease and Inhibitor Mechanisms (3 papers), Neonatal Respiratory Health Research (2 papers), TGF-β signaling in diseases (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Rheumatology (397 citations), Hematology (122 citations) and Cancer Research (156 citations). Jean-Marie Jaspar has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include P Franchimont, Michel Malaise, Marie-Joëlle Kaiser, Clio Ribbens, Nathalie Franchimont, Ravinder N. Maini, Fionula M. Brennan, Kenneth A. Browne, M Feldmann and Pierre Damas. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of the New York Academy of Sciences.

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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