J.‐C. Kaplan

2.9k citations
54 papers · 1.5k · h-index 22

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Genomic variations and chromosomal abnormalities
    • Muscle Physiology and Disorders
    • RNA Research and Splicing

Papers in

J.‐C. Kaplan

54 papers receiving 1.4k citations

Peers

J.‐C. Kaplan
Comparison fields: 5 of 93
  • Genetics 144
  • Molecular Biology 950
  • Cell Biology 166
  • Genetics 265
  • Cellular and Molecular Neuroscience 163
Replace Alain Kitzis with:
Alain Kitzis France
H Sakura Japan
L.‐C. Tsui Canada
Céline Schaeffer Italy
J N Wilcox United States
G Grimber France
Anne‐Marie Douar France
Bilyana Popova Germany
Christopher R. Marino United States
Mitsunobu Shimadzu Japan
J.‐C. Kaplan relative to Alain Kitzis France Alain Kitzis's profile →
Citations per field
00.5×1.5×
Alain Kitzis · 1×
Citations per year

Countries citing papers authored by J.‐C. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by J.‐C. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.‐C. Kaplan. 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.‐C. Kaplan. The network helps show where J.‐C. Kaplan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989265
2 1989157
3 199797
4 198482
5 199360
6 198150
7 199146
8 199445
9 196845
10 199843
11 198743
12 198636
13 201834
14 199433
15 197928
16 201727
17 199327
18 198926
19 197824
20 199024

About J.‐C. Kaplan

J.‐C. Kaplan is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Genetics and Genetics, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Neonatal Health and Biochemistry (12 papers), Methemoglobinemia and Tumor Lysis Syndrome (8 papers), Erythrocyte Function and Pathophysiology (5 papers), Genetic Neurodegenerative Diseases (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Hemoglobin structure and function (4 papers) and Biomedical Research and Pathophysiology (3 papers). The work is most often cited by research in Genetics (144 citations), Molecular Biology (950 citations), Cell Biology (166 citations), Genetics (265 citations) and Cellular and Molecular Neuroscience (163 citations). J.‐C. Kaplan has collaborated with scholars based in France, United States and Algeria. Frequent co-authors include A. Haliassos, J Kruh, Jean‐Claude Chomel, Alain Kitzis, Laurent Tesson, Marie‐France Szajnert, S Grandjouan, A Leroux, Dominique Récan and Michel Fardeau. Their work appears in journals such as Human Genetics, Neuromuscular Disorders, Nucleic Acids Research, Journal of Clinical Investigation and Journal of Medical Genetics.

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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