Michèle Grima

648 citations
34 papers · 505 indexed · h-index 13

Michèle Grima

34 papers receiving 500 citations

Peers

Michèle Grima
Comparison fields: 5 of 69
  • Behavioral Neuroscience 48
  • Endocrinology, Diabetes and Metabolism 213
  • Cardiology and Cardiovascular Medicine 189
  • Nephrology 38
  • Endocrine and Autonomic Systems 24
Replace J. C. Fray with:
J. C. Fray United States
David J. Dzielak United States
K. G. Hofbauer Germany
M Ježová Slovakia
Brian P. Rowe United States
B P Hamilton United States
M Böhm Germany
I. H. Mills United Kingdom
R. E. Lang Germany
Rachel L.C. Wong Hong Kong
Michèle Grima relative to J. C. Fray United States J. C. Fray's profile →
Citations per field
00.5×2.7×
J. C. Fray · 1×
Citations per year

Countries citing papers authored by Michèle Grima

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Grima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20089
2 200422
3 20028
4 200227
5 200112
6 20011
7 20006
8 19999
9 199621
10 19956
11 19956
12 19955
13 199411
14 19913
15 199117
16 19911
17 199015
18 19905
19 19888
20 198819

About Michèle Grima

Michèle Grima is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology and Nephrology, having authored 34 papers that have together received 505 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Hormonal Regulation and Hypertension (9 papers), Ion channel regulation and function (6 papers), Ion Transport and Channel Regulation (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Electrolyte and hormonal disorders (4 papers), Stress Responses and Cortisol (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (48 citations), Endocrinology, Diabetes and Metabolism (213 citations), Cardiology and Cardiovascular Medicine (189 citations), Nephrology (38 citations) and Endocrine and Autonomic Systems (24 citations). Michèle Grima has collaborated with scholars based in France, United States and Slovakia. Frequent co-authors include Mariette Barthelmebs, Jean‐Louis Imbs, Wybren de Jong, Catherine Coquard, Kamal Rahmouni, J Velly, Dominique Stéphan, Jean Schwartz, Nicole Decker and Jean‐Jacques Helwig. Their work appears in journals such as European Journal of Pharmacology, British Journal of Pharmacology, Hypertension, Journal of Hypertension and Journal of the American Society of Nephrology.

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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