Sasha Malamed

51 papers receiving 1.2k citations

Peers

Sasha Malamed
Comparison fields: 5 of 106
  • Behavioral Neuroscience 139
  • Reproductive Medicine 150
  • Endocrinology, Diabetes and Metabolism 260
  • Cellular and Molecular Neuroscience 273
  • Endocrine and Autonomic Systems 83
Replace E E Baulieu with:
E E Baulieu France
R A Liebelt United States
Damasia Becú‐Villalobos Argentina
A. Dupont Canada
A. Tixier‐Vidal France
P A Kelly France
Jean Thibault France
Hubert W. Burden United States
Adriana Seilicovich Argentina
Seiichiro Kawashima Japan
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Citations per field
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Citations per year

Countries citing papers authored by Sasha Malamed

Since Specialization
Citations

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

Fields of papers citing papers by Sasha Malamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995140
2 196581
3 198365
4 195964
5 199256
6 197955
7 198548
8 195848
9 198444
10 198343
11 196934
12 199331
13 196331
14 196126
15 198726
16 199425
17 198224
18 199323
19 198121
20 196821

About Sasha Malamed

Sasha Malamed is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Behavioral Neuroscience, Molecular Biology and Animal Science and Zoology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Stress Responses and Cortisol (11 papers), Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (6 papers), Animal Nutrition and Physiology (6 papers), Hormonal Regulation and Hypertension (5 papers), Regulation of Appetite and Obesity (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Behavioral Neuroscience (139 citations), Reproductive Medicine (150 citations), Endocrinology, Diabetes and Metabolism (260 citations), Cellular and Molecular Neuroscience (273 citations) and Endocrine and Autonomic Systems (83 citations). Sasha Malamed has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Rocco V. Carsia, Colin G. Scanes, Richard O. Recknagel, Sergio R. Ojeda, Gregory A. Dissen, Anne N. Hirshfield, P. Masarachia, Richard M. Hays, Franck Perez and Kazue Semba. Their work appears in journals such as Cell and Tissue Research, Experimental Biology and Medicine, General and Comparative Endocrinology, Endocrinology and The Anatomical Record.

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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