Jean-Marie Jaspar

1.1k total citations
17 papers, 847 citations indexed

About

Jean-Marie Jaspar is a scholar working on Molecular Biology, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jean-Marie Jaspar has authored 17 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Rheumatology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jean-Marie Jaspar's work include Rheumatoid Arthritis Research and Therapies (4 papers), Reproductive Biology and Fertility (3 papers) and Reproductive Physiology in Livestock (3 papers). Jean-Marie Jaspar is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (4 papers), Reproductive Biology and Fertility (3 papers) and Reproductive Physiology in Livestock (3 papers). Jean-Marie Jaspar collaborates with scholars based in Belgium, France and Switzerland. Jean-Marie Jaspar's co-authors include P Franchimont, Marie-Joëlle Kaiser, Michel Malaise, Clio Ribbens, Nathalie Franchimont, Kenneth A. Browne, Fionula M. Brennan, M Feldmann, Ravinder N. Maini and Pierre Damas and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

Jean-Marie Jaspar

17 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Marie Jaspar Belgium 15 397 183 156 145 141 17 847
S. Gay Switzerland 14 299 0.8× 344 1.9× 172 1.1× 152 1.0× 231 1.6× 20 903
C G Ragsdale United States 12 208 0.5× 197 1.1× 177 1.1× 71 0.5× 191 1.4× 18 865
Masao Negishi Japan 15 324 0.8× 200 1.1× 53 0.3× 277 1.9× 299 2.1× 44 935
Seishi Harada Japan 13 312 0.8× 164 0.9× 68 0.4× 235 1.6× 333 2.4× 26 932
D. Brackertz Germany 14 325 0.8× 136 0.7× 76 0.5× 140 1.0× 286 2.0× 37 830
Jacqueline Quach United States 7 428 1.1× 405 2.2× 128 0.8× 250 1.7× 327 2.3× 8 1.1k
Fujio Nakazawa Japan 11 246 0.6× 233 1.3× 84 0.5× 130 0.9× 207 1.5× 17 741
Jinxia Zhao China 18 433 1.1× 294 1.6× 102 0.7× 204 1.4× 269 1.9× 78 985
Constantinos Georganas United States 9 188 0.5× 301 1.6× 111 0.7× 104 0.7× 281 2.0× 9 682
Elham Farhadi Iran 19 352 0.9× 326 1.8× 98 0.6× 123 0.8× 358 2.5× 95 1.1k

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 of co-authors of Jean-Marie Jaspar

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

All Works

17 of 17 papers shown
1.
Ribbens, Clio, Nathalie Franchimont, Marie-Joëlle Kaiser, et al.. (2002). Increased matrix metalloproteinase-3 serum levels in rheumatic diseases: relationship with synovitis and steroid treatment. Annals of the Rheumatic Diseases. 61(2). 161–166. 171 indexed citations
2.
Ribbens, Clio, Béatrice André, Jean-Marie Jaspar, et al.. (2000). Matrix metalloproteinase-3 serum levels are correlated with disease activity and predict clinical response in rheumatoid arthritis.. PubMed. 27(4). 888–93. 66 indexed citations
3.
Ribbens, C., B. André, O. Kaye, et al.. (2000). Synovial fluid matrix metalloproteinase‐3 levels are increased in inflammatory arthritides whether erosive or not. Lara D. Veeken. 39(12). 1357–1365. 55 indexed citations
4.
Menten, Patricia, Paul Proost, Sofie Struyf, et al.. (1999). Differential induction of monocyte chemotactic protein-3 in mononuclear leukocytes and fibroblasts by interferon-α / β and interferon-γ reveals MCP-3 heterogeneity. European Journal of Immunology. 29(2). 678–685. 58 indexed citations
5.
Guerne, Pierre‐André, Jean-Marie Jaspar, Biserka Relić, et al.. (1999). Effects of IL-6 and its soluble receptor on proteoglycan synthesis and NO release by human articular chondrocytes: comparison with IL-1. Modulation by dexamethasone. Matrix Biology. 18(3). 253–260. 43 indexed citations
6.
Henrotin, Yves, A Labasse, Jean-Marie Jaspar, et al.. (1998). Effects of three avocado/soybean unsaponifiable mixtures on metalloproteinases, cytokines and prostaglandin E2 production by human articular chondrocytes. Clinical Rheumatology. 17(1). 31–39. 73 indexed citations
8.
Mauduit, Claire, Jean-Marie Jaspar, E. Poncelet, et al.. (1993). Tumor necrosis factor-alpha antagonizes follicle-stimulating hormone action in cultured Sertoli cells.. Endocrinology. 133(1). 69–76. 41 indexed citations
9.
Huylebroeck, Danny, Abdül Waheed, Anne Marmenout, et al.. (1990). Expression and Processing of the Activin-A/Erythroid Differentiation Factor Precursor: A Member of the Transforming Growth Factor-β Superfamily. Molecular Endocrinology. 4(8). 1153–1165. 31 indexed citations
10.
Franchimont, P, M. T. Hazee‐Hagelstein, Jean-Marie Jaspar, et al.. (1990). Correlation between Follicular Fluid Content and the Results ofin VitroFertilization and Embryo Transfer. II. Inhibin and Aromatase Inhibitor Activity*. The Journal of Clinical Endocrinology & Metabolism. 71(3). 748–754. 16 indexed citations
11.
Collette, J., et al.. (1990). Epidermal Growth Factor and Prolactin in Human Breast Cyst Fluida. Annals of the New York Academy of Sciences. 586(1). 146–157. 4 indexed citations
12.
Franchimont, P, et al.. (1989). Inhibin and related peptides: Mechanisms of action and regulation of secretion. Journal of Steroid Biochemistry. 32(1). 193–197. 17 indexed citations
13.
Jaspar, Jean-Marie & P Franchimont. (1987). Purification of human epidermal growth factor (urogastrone) from urine. European Journal of Biochemistry. 166(2). 295–301. 3 indexed citations
14.
Franchimont, P, et al.. (1986). Effect of mouse epidermal growth factor on DNA and protein synthesis, progesterone and inhibin production by bovine granulosa cells in culture. European Journal of Endocrinology. 111(1). 122–127. 36 indexed citations
15.
Collette, Julien, et al.. (1986). Presence of alpha-lactalbumin, epidermal growth factor, epithelial membrane antigen, and gross cystic disease fluid protein (15,000 daltons) in breast cyst fluid.. PubMed. 46(7). 3728–33. 40 indexed citations
16.
Jaspar, Jean-Marie & P Franchimont. (1985). Radioimmunoassay of human epidermal growth factor in human breast cyst fluid. European Journal of Cancer and Clinical Oncology. 21(11). 1343–1348. 32 indexed citations
17.
Franchimont, P, et al.. (1983). Radioimmunoassay of prostatic acid phosphatase: Validation and clinical application. International Journal of Cancer. 31(2). 149–155. 17 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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