Víctor E. Nahmod

2.4k citations
74 papers · 2.1k · h-index 25

Impact in

Papers in

Víctor E. Nahmod

72 papers receiving 2.0k citations

Peers

Víctor E. Nahmod
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 363
  • Behavioral Neuroscience 182
  • Biological Psychiatry 102
  • Cellular and Molecular Neuroscience 655
  • Cardiology and Cardiovascular Medicine 523
Replace Yoshitatsu Sei with:
Yoshitatsu Sei United States
T Furukawa Japan
Hans Imboden Switzerland
Tatsuo Furukawa Japan
Dieter Meyer Germany
Paul J. L. M. Strijbos United Kingdom
Giuliano Neri Italy
James Douglass United States
Junko Imaki Japan
Eric L. Gustafson United States
Víctor E. Nahmod relative to Yoshitatsu Sei United States Yoshitatsu Sei's profile →
Citations per field
00.5×2.9×
Yoshitatsu Sei · 1×
Citations per year

Countries citing papers authored by Víctor E. Nahmod

Since Specialization
Citations

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

Fields of papers citing papers by Víctor E. Nahmod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor E. Nahmod. 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 Víctor E. Nahmod. The network helps show where Víctor E. Nahmod may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971334
2 1988135
3 2003108
4 1991106
5 200584
6 199176
7 197868
8 199666
9 200255
10 197255
11 199351
12 200750
13 199639
14 198338
15 199236
16 200034
17 198733
18 199733
19 199033
20 198331

About Víctor E. Nahmod

Víctor E. Nahmod is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Immunology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (21 papers), Renin-Angiotensin System Studies (10 papers), Stress Responses and Cortisol (7 papers), Circadian rhythm and melatonin (7 papers), Neuroendocrine regulation and behavior (6 papers), Neurobiology and Insect Physiology Research (5 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (363 citations), Behavioral Neuroscience (182 citations), Biological Psychiatry (102 citations), Cellular and Molecular Neuroscience (655 citations) and Cardiology and Cardiovascular Medicine (523 citations). Víctor E. Nahmod has collaborated with scholars based in Argentina, Germany and United States. Frequent co-authors include Samuel Finkielman, C Fischer-Ferraro, Daniel J. Goldstein, Eduardo Arzt, Carlos J. Pirola, Liliana M.E. Finocchiaro, Mónica A. Costas, Alejandro Delorenzi, Azucena L. Alvarez and María S. Balda. Their work appears in journals such as Neuropharmacology, Life Sciences, Journal of Endocrinology, Oncogene and Journal of Pharmacology and Experimental Therapeutics.

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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