Serge Amselem

14.5k citations
191 papers · 7.8k indexed · h-index 52

Impact in

Papers in

Serge Amselem

181 papers receiving 7.6k citations

Peers

Serge Amselem
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Genetics 2.3k
  • Immunology 1.5k
  • Molecular Biology 4.3k
  • Nephrology 444
Replace Magnus Nordenskjöld with:
Magnus Nordenskjöld Sweden
Kyoji Ikeda Japan
Natalie A. Sims Australia
Hiroshi Nagura Japan
Claus Oxvig Denmark
John A. Phillips United States
Cheryl A. Conover United States
Andrea Superti‐Furga Switzerland
Takehiko Koji Japan
Yusuke Nakamura Japan
Serge Amselem relative to Magnus Nordenskjöld Sweden Magnus Nordenskjöld's profile →
Citations per field
00.5×
Magnus Nordenskjöld · 1×
Citations per year

Countries citing papers authored by Serge Amselem

Since Specialization
Citations

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

Fields of papers citing papers by Serge Amselem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20219
2 201921
3 20194
4 201874
5 20181
6
Contribution of GHR and IGFALS Mutations to Growth Hormone Resistance - Identification of New Variants and Impact on the Inheritance Pattern
20161
7 20143
8 201111
9 2010117
10 201025
11 200996
12 2008288
13 200854
14 200336
15
Causes génétiques de déficit en hormone de croissance
20021
16 2000155
17 1999203
18 199891
19 1992122
20 199172

About Serge Amselem

Serge Amselem is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Genetics, Molecular Biology and Nephrology, having authored 191 papers that have together received 7.8k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (50 papers), Growth Hormone and Insulin-like Growth Factors (48 papers), IL-33, ST2, and ILC Pathways (19 papers), Cystic Fibrosis Research Advances (16 papers), Genetic Syndromes and Imprinting (15 papers), Neonatal Respiratory Health Research (14 papers), Genetic and Kidney Cyst Diseases (13 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Genetics (2.3k citations), Immunology (1.5k citations), Molecular Biology (4.3k citations) and Nephrology (444 citations). Serge Amselem has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Duquesnoy, Michel Goossens, Marie‐Laure Sobrier, Gilles Grateau, Bénédicte Duriez, Estelle Escudier, Florence Dastot, Isabelle Jéru, Annick Clément and Marie Legendre. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Human Genetics, PLoS ONE, Human Mutation and Proceedings of the National Academy of Sciences.

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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