Rachel Maayan

77 papers receiving 2.4k citations

Peers

Rachel Maayan
Comparison fields: 5 of 102
  • Behavioral Neuroscience 971
  • Biological Psychiatry 421
  • Psychiatry and Mental health 468
  • Endocrinology, Diabetes and Metabolism 505
  • Cellular and Molecular Neuroscience 431
Replace Flavia di Michele with:
Flavia di Michele Italy
Andrea Gogos Australia
Juan F. López United States
U. Gotthardt Germany
Samuel J. Listwak United States
Mark E. Bardgett United States
Christine E. Marx United States
Bruce S. McEwen United States
Florian Holsboer Germany
Gábor Faludi Hungary
Rachel Maayan relative to Flavia di Michele Italy Flavia di Michele's profile →
Citations per field
00.5×3.0×
Flavia di Michele · 1×
Citations per year

Countries citing papers authored by Rachel Maayan

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Maayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003165
2 2000111
3 2003107
4 200685
5 200282
6 200579
7 201077
8 200476
9 200572
10 200568
11 200164
12 200764
13 200960
14 200759
15 200054
16 200351
17 200547
18 200646
19 200546
20 200845

About Rachel Maayan

Rachel Maayan is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Social Psychology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (38 papers), Hormonal and reproductive studies (17 papers), Neuroendocrine regulation and behavior (17 papers), Tryptophan and brain disorders (16 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Behavioral Neuroscience (971 citations), Biological Psychiatry (421 citations), Psychiatry and Mental health (468 citations), Endocrinology, Diabetes and Metabolism (505 citations) and Cellular and Molecular Neuroscience (431 citations). Rachel Maayan has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Abraham Weizman, Rael D. Strous, Moshe Kotler, Irit Gil‐Ad, Michael S. Ritsner, Edward Ram, Gal Yadid, Michael Poyurovsky, Oz Malkesman and Anatoly Gibel. Their work appears in journals such as European Neuropsychopharmacology, Neuropsychobiology, Neuropsychopharmacology, Obesity Surgery and The International Journal of Neuropsychopharmacology.

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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