Víctor E. Nahmod

2.3k citations
72 papers · 2.0k · h-index 24

Impact in

Papers in

Víctor E. Nahmod

71 papers receiving 1.9k citations

Peers

Víctor E. Nahmod
Comparison fields: 5 of 107
  • Behavioral Neuroscience 186
  • Endocrine and Autonomic Systems 336
  • Biological Psychiatry 106
  • Cellular and Molecular Neuroscience 617
  • Cardiology and Cardiovascular Medicine 459
Replace Junko Imaki with:
Junko Imaki Japan
Hans Imboden Switzerland
Yoshitatsu Sei United States
Tatsuo Furukawa Japan
Dieter Meyer Germany
James Douglass United States
Dominic J. Autelitano Australia
Paul J. L. M. Strijbos United Kingdom
L C Mahan United States
Giuliano Neri Italy
Víctor E. Nahmod relative to Junko Imaki Japan Junko Imaki's profile →
Citations per field
00.5×6.9×
Junko Imaki · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971280
2 1988127
3 2003109
4 1991101
5 200578
6 199172
7 199664
8 197859
9 200251
10 200750
11 199348
12 197239
13 199635
14 198335
15 199234
16 198733
17 199033
18 199730
19 198330
20 198729

About Víctor E. Nahmod

Víctor E. Nahmod is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (20 papers), Renin-Angiotensin System Studies (9 papers), Circadian rhythm and melatonin (7 papers), Stress Responses and Cortisol (7 papers), Neuroendocrine regulation and behavior (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Behavioral Neuroscience (186 citations), Endocrine and Autonomic Systems (336 citations), Biological Psychiatry (106 citations), Cellular and Molecular Neuroscience (617 citations) and Cardiology and Cardiovascular Medicine (459 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, Azucena L. Alvarez, María S. Balda and Alejandro Delorenzi. Their work appears in journals such as Neuropharmacology, Life Sciences, Journal of Endocrinology, Journal of Clinical Investigation and Molecular 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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