M. Dubar

676 citations
16 papers · 536 · h-index 10

Impact in

Papers in

M. Dubar

16 papers receiving 514 citations

Peers

M. Dubar
Comparison fields: 5 of 67
  • Internal Medicine 68
  • Cardiology and Cardiovascular Medicine 318
  • Endocrinology, Diabetes and Metabolism 126
  • Gastroenterology 40
  • Pharmacology 98
Replace Toshiyuki Funatsu with:
Toshiyuki Funatsu Japan
J B Smith United States
Victor Skrinska United States
JP Maffrand France
Maria Antonietta Satta Italy
Dan Atar United States
Gabriele Merciaro Italy
Hotimah Masdan Salim Indonesia
Peggy Wong United States
D. Gouy France
M. Dubar relative to Toshiyuki Funatsu Japan Toshiyuki Funatsu's profile →
Citations per field
00.5×4.5×
Toshiyuki Funatsu · 1×
Citations per year

Countries citing papers authored by M. Dubar

Since Specialization
Citations

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

Fields of papers citing papers by M. Dubar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010214
2 201169
3 198558
4 200443
5
Rilmenidine normalizes fructose-induced insulin resistance and hypertension in rats.
199837
6 201033
7 201730
8 201712
9 199510
10 198910
11 20139
12 20023
13 19943
14 19962
15
[Effects of rilmenidine on rats made insulin resistant and hypertensive by a high fructose diet].
19962
16 19931

About M. Dubar

M. Dubar is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Hematology and Pharmacology, having authored 16 papers that have together received 536 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Diet, Metabolism, and Disease (3 papers), Diabetes Treatment and Management (3 papers), Diet and metabolism studies (3 papers), Inflammatory mediators and NSAID effects (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Platelet Disorders and Treatments (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Internal Medicine (68 citations), Cardiology and Cardiovascular Medicine (318 citations), Endocrinology, Diabetes and Metabolism (126 citations), Gastroenterology (40 citations) and Pharmacology (98 citations). M. Dubar has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include Frank LaCreta, L. Bergougnan, Fabrice Hurbin, Laurent Perrin, Céline Ollier, Olivier Nicolas, C. Michael Gibson, Shuk Han Cheng, Dominick J. Angiolillo and Erich Wünsch. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Cancer, Pain, Life Sciences and The Journal of Clinical Pharmacology.

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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