Jacques Marvaldi

125 papers receiving 3.1k citations

Peers

Jacques Marvaldi
Comparison fields: 5 of 110
  • Immunology and Allergy 474
  • Cancer Research 463
  • Cell Biology 429
  • Molecular Biology 1.8k
  • Endocrinology, Diabetes and Metabolism 431
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Jean Marie Blanchard France
H G Coon United States
E P Chow United States
Y Kaziro Japan
Rikiro Fukunaga Japan
S Y Ng United States
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Citations per year

Countries citing papers authored by Jacques Marvaldi

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Marvaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jacques Marvaldi, 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 Jacques Marvaldi Line = papers co-authored together Jacques Marvaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998147
2
Insulin-like growth factor-I protects colon cancer cells from death factor-induced apoptosis by potentiating tumor necrosis factor alpha-induced mitogen-activated protein kinase and nuclear factor kappaB signaling pathways.
2000127
3 1986112
4 1999100
5 199895
6 200091
7 198977
8
A monoclonal antibody inhibits adhesion to fibronectin and vitronectin of a colon carcinoma cell line and recognizes the integrins alpha v beta 3, alpha v beta 5, and alpha v beta 6.
199476
9 199967
10 199662
11 200559
12 200758
13 199654
14 198552
15 198951
16 197751
17 199850
18 199946
19 200646
20 199245

About Jacques Marvaldi

Jacques Marvaldi is a scholar working on Immunology and Allergy, Cancer Research, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 125 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (23 papers), Neuropeptides and Animal Physiology (22 papers), Cancer, Hypoxia, and Metabolism (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Glycosylation and Glycoproteins Research (12 papers), Peptidase Inhibition and Analysis (11 papers), Chemical Synthesis and Analysis (10 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Immunology and Allergy (474 citations), Cancer Research (463 citations), Cell Biology (429 citations), Molecular Biology (1.8k citations) and Endocrinology, Diabetes and Metabolism (431 citations). Jacques Marvaldi has collaborated with scholars based in France, Morocco and Canada. Frequent co-authors include José Luis, Jacques Pichon, Frederic André, Françoise Garrouste, Jacques Fantini, M Remacle-Bonnet, Gilbert Pommier, Jean‐Claude Lissitzky, Assou El Battari and G. Pommier. Their work appears in journals such as International Journal of Cancer, European Journal of Biochemistry, Journal of Biological Chemistry, Biochemical Journal and Journal of Cellular Physiology.

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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