German Torres

1.6k citations
68 papers · 1.4k · h-index 22

Impact in

Papers in

German Torres

65 papers receiving 1.4k citations

Peers

German Torres
Comparison fields: 5 of 96
  • Behavioral Neuroscience 214
  • Cellular and Molecular Neuroscience 683
  • Biological Psychiatry 83
  • Geriatrics and Gerontology 87
  • Endocrine and Autonomic Systems 156
Replace Carol A. Murphy with:
Carol A. Murphy United States
Ross A. McDevitt United States
Tanner Chase Francis United States
Judith M. Horowitz United States
Carmen Martínez‐Cué Spain
Jonathan D. Hommel United States
Sarah E. McCallum United States
Adalberto Alves de Castro Brazil
Fabrice Trovero France
Jerome D. Swinny United Kingdom
German Torres relative to Carol A. Murphy United States Carol A. Murphy's profile →
Citations per field
00.5×1.5×2.1×
Carol A. Murphy · 1×
Citations per year

Countries citing papers authored by German Torres

Since Specialization
Citations

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

Fields of papers citing papers by German Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992112
2 1993107
3 1993105
4 2010101
5 201071
6 199863
7 199259
8 199953
9 201749
10 199443
11 199937
12 201034
13 199432
14 199631
15 200328
16 200524
17 201624
18 200323
19 199723
20 200922

About German Torres

German Torres is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry, Endocrine and Autonomic Systems and Neurology, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Neuroendocrine regulation and behavior (7 papers), Receptor Mechanisms and Signaling (7 papers), Stress Responses and Cortisol (7 papers), Tryptophan and brain disorders (6 papers), Nuclear Receptors and Signaling (5 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Behavioral Neuroscience (214 citations), Cellular and Molecular Neuroscience (683 citations), Biological Psychiatry (83 citations), Geriatrics and Gerontology (87 citations) and Endocrine and Autonomic Systems (156 citations). German Torres has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include CATHERINE L. RIVIER, Judith M. Horowitz, Joerg R. Leheste, Serge Rivest, Soon Lee, Brian H. Hallas, N Laflamme, Michal K. Stachowiak, Bert A. ‘t Hart and Kenneth W. Gross. Their work appears in journals such as Neuroscience, Brain Research, Neuroreport, The Anatomical Record and Life Sciences.

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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