Sasha Malamed

51 papers receiving 1.2k citations

Peers

Sasha Malamed
Comparison fields: 5 of 105
  • Behavioral Neuroscience 151
  • Reproductive Medicine 179
  • Endocrinology, Diabetes and Metabolism 266
  • Cellular and Molecular Neuroscience 291
  • Endocrine and Autonomic Systems 95
Replace A. Tixier‐Vidal with:
A. Tixier‐Vidal France
R A Liebelt United States
Damasia Becú‐Villalobos Argentina
A Tixier-Vidal France
A. Dupont Canada
Jean Thibault France
Hubert W. Burden United States
Seiichiro Kawashima Japan
J. C. Porter United States
Adriana Seilicovich Argentina
Sasha Malamed relative to A. Tixier‐Vidal France A. Tixier‐Vidal's profile →
Citations per field
00.5×
A. Tixier‐Vidal · 1×
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 196582
3 195965
4 198365
5 199256
6 197955
7 198548
8 195848
9 198444
10 198343
11 199237
12 196934
13 199331
14 196331
15 198726
16 199425
17 196125
18 198224
19 199323
20 198121

About Sasha Malamed

Sasha Malamed is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Behavioral Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Mitochondrial Function and Pathology (7 papers), Animal Nutrition and Physiology (6 papers), Adipose Tissue and Metabolism (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 (151 citations), Reproductive Medicine (179 citations), Endocrinology, Diabetes and Metabolism (266 citations), Cellular and Molecular Neuroscience (291 citations) and Endocrine and Autonomic Systems (95 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, General and Comparative Endocrinology, Experimental Biology and Medicine, Endocrinology and The Journal of Cell Biology.

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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