Marcelo Rubinstein

11.8k citations
148 papers · 9.3k · h-index 53

Impact in

Papers in

Marcelo Rubinstein

147 papers receiving 9.2k citations

Peers

Marcelo Rubinstein
Comparison fields: 5 of 133
  • Endocrine and Autonomic Systems 2.0k
  • Cellular and Molecular Neuroscience 4.4k
  • Behavioral Neuroscience 368
  • Developmental Neuroscience 292
  • Biological Psychiatry 160
Replace Björn Meister with:
Björn Meister Sweden
Emiliana Borrelli France
Alain Beaudet Canada
D.J.S. Sirinathsinghji United Kingdom
Jacques Epelbaum France
Nae J. Dun United States
Brian F. O’Dowd Canada
Laurence H. Tecott United States
David K. Grandy United States
Bertrand Bloch France
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Citations per field
00.5×2.7×
Björn Meister · 1×
Citations per year

Countries citing papers authored by Marcelo Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997391
2 2002390
3 1998388
4 1997348
5 2003286
6 2011283
7 1996259
8 1994255
9 1998209
10 2001204
11 1999192
12 2004173
13 2001156
14 1999143
15 2001141
16 2001137
17 2016127
18 2008124
19 2003124
20 2003122

About Marcelo Rubinstein

Marcelo Rubinstein is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics, having authored 148 papers that have together received 9.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (54 papers), Regulation of Appetite and Obesity (39 papers), Receptor Mechanisms and Signaling (36 papers), Biochemical Analysis and Sensing Techniques (24 papers), Neuroscience and Neuropharmacology Research (24 papers), Adipose Tissue and Metabolism (20 papers), Growth Hormone and Insulin-like Growth Factors (14 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.0k citations), Cellular and Molecular Neuroscience (4.4k citations), Behavioral Neuroscience (368 citations), Developmental Neuroscience (292 citations) and Biological Psychiatry (160 citations). Marcelo Rubinstein has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Malcolm J. Low, David K. Grandy, Flávio S. J. de Souza, Michele A. Kelly, Miguel Á. Japón, James L. Smart, Diego M. Gelman, Tamara J. Phillips, Ge Zhang and Tomás L. Falzone. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Molecular Metabolism, Proceedings of the National Academy of Sciences and Molecular Psychiatry.

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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