Daniel Fourmy

92 papers receiving 3.0k citations

Peers

Daniel Fourmy
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.4k
  • Molecular Biology 1.6k
  • Endocrine and Autonomic Systems 150
  • Oncology 604
  • Endocrinology, Diabetes and Metabolism 364
Replace Kazuki Sasaki with:
Kazuki Sasaki Japan
Jo W.M. Höppener Netherlands
Burkhard Wiesner Germany
Georg Mellitzer France
Peter Thorn Australia
Kate Groot United States
Alex N. Eberlé Switzerland
Matthias Eckhardt Germany
Gábor Halmos United States
José G. Pichel Spain
Daniel Fourmy relative to Kazuki Sasaki Japan Kazuki Sasaki's profile →
Citations per field
00.5×2.7×
Kazuki Sasaki · 1×
Citations per year

Countries citing papers authored by Daniel Fourmy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fourmy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006382
2 1993111
3 200292
4 201791
5 200990
6 201479
7 199871
8 200670
9 199967
10 200264
11 199761
12 200160
13 200559
14 200255
15 200053
16 201051
17 202149
18 200547
19 198746
20 201646

About Daniel Fourmy

Daniel Fourmy is a scholar working on Cellular and Molecular Neuroscience, Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 93 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (62 papers), Receptor Mechanisms and Signaling (43 papers), Peptidase Inhibition and Analysis (24 papers), Pancreatic function and diabetes (17 papers), Neuroendocrine Tumor Research Advances (16 papers), Diabetes Treatment and Management (10 papers), Helicobacter pylori-related gastroenterology studies (8 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Molecular Biology (1.6k citations), Endocrine and Autonomic Systems (150 citations), Oncology (604 citations) and Endocrinology, Diabetes and Metabolism (364 citations). Daniel Fourmy has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Marlène Dufresne, Catherine Seva, Chantal Escrieut, Lucien Pradayrol, Véronique Gigoux, Nicole Vaysse, Sandrine Silvente‐Poirot, Pascal Clerc, Luis Moroder and Bernard Maigret. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, European Journal of Biochemistry, Regulatory Peptides and Journal of Medicinal Chemistry.

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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