Supatcharee Arun

44 papers receiving 588 citations

Peers

Supatcharee Arun
Comparison fields: 5 of 73
  • Reproductive Medicine 184
  • Behavioral Neuroscience 34
  • Endocrinology, Diabetes and Metabolism 106
  • Aging 11
  • Complementary and alternative medicine 43
Replace Wannisa Sukhorum with:
Wannisa Sukhorum Thailand
Jaturon Burawat Thailand
Cristiane da Fonte Ramos Brazil
Carla D. B. Fernandez Brazil
Zohreh Zare Iran
Zatollah Asemi Iran
Prasanth Surampudi United States
Maryam Akbari‐Fakhrabadi Iran
Caroline Silveira Martinez Spain
M Maneesh India
Supatcharee Arun relative to Wannisa Sukhorum Thailand Wannisa Sukhorum's profile →
Citations per field
00.5×3.3×
Wannisa Sukhorum · 1×
Citations per year

Countries citing papers authored by Supatcharee Arun

Since Specialization
Citations

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

Fields of papers citing papers by Supatcharee Arun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201064
2 201456
3 201650
4 201631
5 201829
6 201727
7 202124
8 201423
9 202020
10 201820
11 201919
12 201718
13 201917
14 201717
15 202215
16 202015
17 201813
18 201812
19 202112
20 201811

About Supatcharee Arun

Supatcharee Arun is a scholar working on Reproductive Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 601 indexed citations. Recurring topics across this work include Sperm and Testicular Function (18 papers), Hormonal and reproductive studies (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Reproductive Biology and Fertility (5 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Phytochemistry and Bioactivity Studies (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Plant Toxicity and Pharmacological Properties (2 papers). The work is most often cited by research in Reproductive Medicine (184 citations), Behavioral Neuroscience (34 citations), Endocrinology, Diabetes and Metabolism (106 citations), Aging (11 citations) and Complementary and alternative medicine (43 citations). Supatcharee Arun has collaborated with scholars based in Thailand, Taiwan and India. Frequent co-authors include Sitthichai Iamsaard, Wannisa Sukhorum, Jaturon Burawat, Nongnut Uabundit, Bungorn Sripanidkulchai, Alexander T.H. Wu, Rajendran K. Selvakesavan, M. N. Premachandran, J. Srikanth and N. Subramonian. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, Andrologia, Life, Journal of Integrative Medicine and Journal of Traditional and Complementary Medicine.

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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