P. Chérìn

5.5k citations
135 papers · 4.0k · h-index 36

Impact in

  • Rheumatology top 0.5%
    • Eosinophilic Disorders and Syndromes
  • Epidemiology top 0.5%
    • Inflammatory Myopathies and Dermatomyositis

Papers in

P. Chérìn

118 papers receiving 3.8k citations

Peers

P. Chérìn
Comparison fields: 5 of 98
  • Rheumatology 1.1k
  • Epidemiology 2.5k
  • Dermatology 284
  • Neurology 448
  • Immunology 547
Replace Katalin Dankó with:
Katalin Dankó Hungary
Samuel Katsuyuki Shinjo Brazil
Francesco Trotta Italy
Stéphane Barète France
Takashi Satoh Japan
Margit Zeher Hungary
G Pasero Italy
Jens Schmidt Germany
Luca Iaccarino Italy
Maria Giovanna Danieli Italy
P. Chérìn relative to Katalin Dankó Hungary Katalin Dankó's profile →
Citations per field
00.5×1.5×2.4×
Katalin Dankó · 1×
Citations per year

Countries citing papers authored by P. Chérìn

Since Specialization
Citations

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

Fields of papers citing papers by P. Chérìn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002366
2 2011223
3 1991210
4 2002197
5 2011174
6 2005126
7 2012120
8
Intravenous gamma globulin as first line therapy in polymyositis and dermatomyositis: an open study in 11 adult patients.
1994120
9 2009110
10 2019102
11
Magnetic resonance imaging criteria for distinguishing between inclusion body myositis and polymyositis.
2002101
12 2010101
13 2010100
14 201596
15 200296
16 200893
17 200174
18 201374
19 199870
20 200470

About P. Chérìn

P. Chérìn is a scholar working on Epidemiology, Rheumatology, Immunology, Neurology and Physiology, having authored 135 papers that have together received 4.0k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (57 papers), Immunodeficiency and Autoimmune Disorders (17 papers), Eosinophilic Disorders and Syndromes (16 papers), Lysosomal Storage Disorders Research (10 papers), Skin Diseases and Diabetes (7 papers), Peripheral Neuropathies and Disorders (6 papers), Parkinson's Disease and Spinal Disorders (6 papers) and Muscle and Compartmental Disorders (5 papers). The work is most often cited by research in Rheumatology (1.1k citations), Epidemiology (2.5k citations), Dermatology (284 citations), Neurology (448 citations) and Immunology (547 citations). P. Chérìn has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include S. Herson, I. Marie, É. Hachulla, S. Dominique, Jean-François Ménard, Pierre‐Yves Hatron, Luc Mouthon, H. Lévesque, P Godeau and Marie‐France Hellot. Their work appears in journals such as The American Journal of Medicine, Autoimmunity Reviews, Medicine, Human Gene Therapy and Annals of the Rheumatic Diseases.

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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