Win Sutanto

35 papers receiving 1.8k citations

Peers

Win Sutanto
Comparison fields: 5 of 94
  • Behavioral Neuroscience 1.2k
  • Biological Psychiatry 286
  • Endocrinology, Diabetes and Metabolism 556
  • Social Psychology 617
  • Developmental Neuroscience 111
Replace Carlos Arias with:
Carlos Arias United States
Shinya Makino Japan
G. Ixart France
Damian G. Zuloaga United States
R. Angela Sarabdjitsingh Netherlands
Elizabeth M. Waters United States
Luz Torner Mexico
Claudia Liebl Germany
Jacob H. Hollis Australia
W. K. Paull United States
Win Sutanto relative to Carlos Arias United States Carlos Arias's profile →
Citations per field
00.5×1.7×
Carlos Arias · 1×
Citations per year

Countries citing papers authored by Win Sutanto

Since Specialization
Citations

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

Fields of papers citing papers by Win Sutanto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993272
2 1993166
3 1990145
4 1995135
5 1996108
6 1992106
7 199899
8 198793
9 198787
10 199485
11 199361
12 199359
13 199655
14 199448
15 199147
16 199040
17
Plasticity and function of brain corticosteroid receptors during aging.
199139
18
Implication of brain corticosteroid receptor diversity for the adaptation syndrome concept.
199138
19 199131
20 198930

About Win Sutanto

Win Sutanto is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Social Psychology, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (26 papers), Hormonal Regulation and Hypertension (18 papers), Neuroendocrine regulation and behavior (6 papers), Tryptophan and brain disorders (4 papers), Receptor Mechanisms and Signaling (4 papers), Estrogen and related hormone effects (4 papers), Adrenal Hormones and Disorders (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Biological Psychiatry (286 citations), Endocrinology, Diabetes and Metabolism (556 citations), Social Psychology (617 citations) and Developmental Neuroscience (111 citations). Win Sutanto has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include E. R. de Kloet, Bernd Schöbitz, Melly S. Oitzl, Johannes M. H. M. Reul, M. Van Eekelen, Nynke Y. Rots, Aernout D. van Haarst, J. Mos, Hielke H. van Dijken and Dimphena C.E. de Goeij. Their work appears in journals such as Neuroendocrinology, Endocrinology, Journal of Neuroendocrinology, The Journal of Steroid Biochemistry and Molecular Biology and European Journal of Neuroscience.

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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