Eric Grazzini

26 papers receiving 1.6k citations

Peers

Eric Grazzini
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 365
  • Behavioral Neuroscience 158
  • Cellular and Molecular Neuroscience 394
  • Social Psychology 344
  • Reproductive Medicine 99
Replace A. Pecile with:
A. Pecile Italy
Víctor E. Nahmod Argentina
Dominic J. Autelitano Australia
Imre Farkas Hungary
Tatsuo Furukawa Japan
David R. Cool United States
Samuel Finkielman Argentina
Helen Wong United States
Hans Vilhardt Denmark
Dominique Grouselle France
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Citations per field
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Citations per year

Countries citing papers authored by Eric Grazzini

Since Specialization
Citations

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

Fields of papers citing papers by Eric Grazzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998406
2 2002324
3 1999228
4 1995110
5 200489
6 199671
7 199667
8 200444
9 199840
10 201838
11 199936
12 199834
13 199633
14 199831
15 201228
16 201824
17 199617
18 199612
19 19958
20 19968

About Eric Grazzini

Eric Grazzini is a scholar working on Molecular Biology, Social Psychology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (10 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Circadian rhythm and melatonin (4 papers), Thyroid Disorders and Treatments (3 papers), Ion channel regulation and function (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (365 citations), Behavioral Neuroscience (158 citations), Cellular and Molecular Neuroscience (394 citations), Social Psychology (344 citations) and Reproductive Medicine (99 citations). Eric Grazzini has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Gilles Guillon, Bernard Mouillac, Hans H. Zingg, Paola Lembo, Dajan O’Donnell, Kemal Payza, Philippe Walker, Thierry Groblewski, Cyrla Hoffert and Manon Pelletier. Their work appears in journals such as Endocrinology, Advances in experimental medicine and biology, Cell Calcium, Pflügers Archiv - European Journal of Physiology and Bioorganic & Medicinal Chemistry Letters.

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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