Yannick Marc

562 citations
15 papers · 458 · h-index 10

Impact in

Papers in

Yannick Marc

14 papers receiving 455 citations

Peers

Yannick Marc
Comparison fields: 5 of 57
  • Cardiology and Cardiovascular Medicine 343
  • Endocrinology, Diabetes and Metabolism 203
  • Cellular and Molecular Neuroscience 126
  • Oncology 115
  • Behavioral Neuroscience 9
Replace Takao Hanehira with:
Takao Hanehira Japan
Kuichang Yuan South Korea
Beril Tom Netherlands
Jürgen Klar Germany
Takanobu Takezako Japan
C P Campanile United States
Leonie C. van Vark‐van der Zee Netherlands
Bin‐Lin Song China
Shirley Chiou United States
Mathilde Keck France
Yannick Marc relative to Takao Hanehira Japan Takao Hanehira's profile →
Citations per field
00.5×10×14×
Takao Hanehira · 1×
Citations per year

Countries citing papers authored by Yannick Marc

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Marc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Yannick Marc, 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 Yannick Marc Line = papers co-authored together Yannick Marc links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200883
2 201179
3 201261
4 201461
5 201233
6 201733
7 200829
8 202026
9 201825
10 201811
11 20217
12 20226
13 20213
14 20161
15 20190

About Yannick Marc

Yannick Marc is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 15 papers that have together received 458 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (12 papers), Neuropeptides and Animal Physiology (7 papers), Hormonal Regulation and Hypertension (4 papers), Peptidase Inhibition and Analysis (4 papers), Receptor Mechanisms and Signaling (3 papers), Heart Failure Treatment and Management (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (343 citations), Endocrinology, Diabetes and Metabolism (203 citations), Cellular and Molecular Neuroscience (126 citations), Oncology (115 citations) and Behavioral Neuroscience (9 citations). Yannick Marc has collaborated with scholars based in France and Canada. Frequent co-authors include Catherine Llorens‐Cortés, Fabrice Balavoine, Bernárd P. Roques, Alain Frugière, Laurence Bodineau, Nicolas Inguimbert, Xavier Iturrioz, Vincent Leroux, Annie Michaud and Céline Fassot. Their work appears in journals such as Canadian Journal of Cardiology, Journal of Hypertension, Hypertension, Clinical Science and Progress in Neurobiology.

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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