J.-P. Périn

568 citations
21 papers · 470 indexed · h-index 13
Topics
Glycosylation and Glycoproteins Research (15 papers)Proteoglycans and glycosaminoglycans research (13 papers)Osteoarthritis Treatment and Mechanisms (5 papers)
Partner nations
FranceUnited States

In The Last Decade

J.-P. Périn

21 papers receiving 450 citations

Peers

J.-P. Périn
Comparison fields: 5 of 68
  • Molecular Biology 319
  • Cell Biology 289
  • Rheumatology 121
  • Immunology and Allergy 103
  • 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-authorship network of co-authors of J.-P. Périn

This figure shows the co-authorship network connecting the top 25 collaborators of J.-P. Périn. A scholar is included among the top collaborators of J.-P. Périn 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.-P. Périn. J.-P. Périn 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
#WorkIndexed citations
1 23
2
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?
41
3 28
4 2
5 42
6 36
7 52
8 14
9 42
10 21
11 24
12 7
13 10
14 3
15 31
16 56
17 3
18 4
19 18
20 4

About J.-P. Périn

J.-P. Périn is a scholar working on Cell Biology, Rheumatology and Molecular Biology, 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) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Cell Biology (289 citations), Immunology and Allergy (103 citations) and Rheumatology (121 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, Biochemical Journal and Biochemical and Biophysical Research Communications.

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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