Emmanuel Somm

3.0k citations
42 papers · 2.3k · h-index 25

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Receptor Mechanisms and Signaling 3
    • Adipokines, Inflammation, and Metabolic Diseases 7
    • Liver Disease Diagnosis and Treatment 5

Emmanuel Somm

40 papers receiving 2.2k citations

Peers

Emmanuel Somm
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 476
  • Pediatrics, Perinatology and Child Health 473
  • Physiology 583
  • Endocrine and Autonomic Systems 147
  • Epidemiology 637
Replace Mei Zhao with:
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Junxiang Wan United States
Aline Meirhaeghe France
Daniela Gašperíková Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Somm

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Somm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009375
2 2003242
3 2013141
4 2008134
5 2005115
6 200594
7 201893
8 200492
9 202090
10 200586
11 201166
12 201459
13 200948
14 200348
15 200947
16 201047
17 201546
18 201746
19 201244
20 201941

About Emmanuel Somm

Emmanuel Somm is a scholar working on Molecular Biology, Epidemiology, Physiology, Pediatrics, Perinatology and Child Health and Genetics, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Birth, Development, and Health (7 papers), Immune Cell Function and Interaction (5 papers), Epigenetics and DNA Methylation (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Genetic Syndromes and Imprinting (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (476 citations), Pediatrics, Perinatology and Child Health (473 citations), Physiology (583 citations), Endocrine and Autonomic Systems (147 citations) and Epidemiology (637 citations). Emmanuel Somm has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Petra S. Hüppi, Valérie Schwitzgebel, Michel L. Aubert, François R. Jornayvaz, Christoph A. Meier, Cristiana E. Juge-Aubry, Audrey Toulotte, Agnès Pernin, Jean‐Michel Dayer and Ariane Paoloni‐Giacobino. Their work appears in journals such as Diabetes, Molecular and Cellular Endocrinology, Endocrinology, PLoS ONE and Journal of Clinical Investigation.

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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