Pascal Gottmann

607 citations
28 papers · 413 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Adipose Tissue and Metabolism

Papers in

    • Genetic Syndromes and Imprinting 3
    • Diabetes and associated disorders 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 2

Pascal Gottmann

28 papers receiving 408 citations

Peers

Pascal Gottmann
Comparison fields: 5 of 68
  • Cancer Research 53
  • Physiology 76
  • Endocrinology, Diabetes and Metabolism 47
  • Biochemistry 19
  • Endocrine and Autonomic Systems 16
Replace Kazuhito Fukui with:
Kazuhito Fukui Japan
Stephanie Schatzman-Bone United States
Indrani Talukdar India
Adam Štefek United States
Stacey N. Keenan Australia
Chihiro Satake Japan
Bradley W. McDill United States
Mounia Heddad Masson Switzerland
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Citations per field
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Kazuhito Fukui · 1×
Citations per year

Countries citing papers authored by Pascal Gottmann

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Gottmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201849
3 202040
4 201938
5 202028
6 201824
7 202123
8 202421
9 201816
10 202014
11 201813
12 202011
13 202311
14 20169
15 20229
16 20188
17 20218
18 20227
19 20207
20 20255

About Pascal Gottmann

Pascal Gottmann is a scholar working on Genetics, Cancer Research, Surgery, Physiology and Molecular Biology, having authored 28 papers that have together received 413 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (4 papers), MicroRNA in disease regulation (4 papers), Genetic Syndromes and Imprinting (3 papers), Diabetes and associated disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cancer-related molecular mechanisms research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (53 citations), Physiology (76 citations), Endocrinology, Diabetes and Metabolism (47 citations), Biochemistry (19 citations) and Endocrine and Autonomic Systems (16 citations). Pascal Gottmann has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Annette Schürmann, Markus Jähnert, Meriem Ouni, Heike Vogel, Sophie Saussenthaler, Mandy Stadion, Matthias Bernd Schulze, Wenke Jonas, Clemens Wittenbecher and Charlotte Ling. Their work appears in journals such as International Journal of Molecular Sciences, Diabetes, Molecular Metabolism, Frontiers in Physiology and Journal of Hepatology.

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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