J.-P. Périn

568 citations
21 papers · 470 · h-index 13

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 15
    • Proteoglycans and glycosaminoglycans research 13
    • Skin and Cellular Biology Research 1

J.-P. Périn

21 papers receiving 450 citations

Peers

J.-P. Périn
Comparison fields: 5 of 68
  • Cell Biology 289
  • Immunology and Allergy 103
  • Rheumatology 121
  • Molecular Biology 319
  • Cancer Research 57
Replace K. Fukuda with:
K. Fukuda Japan
M Kusche Sweden
Mei Shi United States
Dominique Porte France
S.D. Yogesha United States
Florentyna Lustig Sweden
Katsue Kiyohara Japan
Sebastian Köhling Germany
A. Walker United Kingdom
E. Soravia United States
J.-P. Périn relative to K. Fukuda Japan K. Fukuda's profile →
Citations per field
00.5×7.6×
K. Fukuda · 1×
Citations per year

Countries citing papers authored by J.-P. Périn

Since Specialization
Citations

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

Fields of papers citing papers by J.-P. Périn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside J.-P. Périn, 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 J.-P. Périn Line = papers co-authored together J.-P. Périn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197856
2 198752
3 198542
4 199242
5
Particle-associated retroviral RNA and tandem RGH/HERV-W copies on human chromosome 7q: possible components of a 'chain-reaction' triggered by infectious agents in multiple sclerosis?
200041
6 198836
7 198031
8 199828
9 198324
10 200023
11 198321
12 197518
13 198614
14 198210
15 19809
16 19837
17 19724
18 19764
19 19763
20 19813

About J.-P. Périn

J.-P. Périn is a scholar working on Molecular Biology, Cell Biology, Rheumatology, Immunology and Oncology, having authored 21 papers that have together received 470 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Proteoglycans and glycosaminoglycans research (13 papers), Osteoarthritis Treatment and Mechanisms (5 papers), T-cell and Retrovirus Studies (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Polysaccharides Composition and Applications (1 paper), Skin and Cellular Biology Research (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cell Biology (289 citations), Immunology and Allergy (103 citations), Rheumatology (121 citations), Molecular Biology (319 citations) and Cancer Research (57 citations). J.-P. Périn has collaborated with scholars based in France and United States. Frequent co-authors include P. Jollès, Fabrice Bonnet, Patrick M. Alliel, Philippe Maillet, François Rieger, Christophe Thurieau, Hervé Perron, Véronique Pizon, James E. Christner and Peter J. Neame. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, International Journal of Biological Macromolecules, Biochemical Journal and Biochimie.

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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