Supanimit Teekachunhatean

62 total papers · 1.1k total citations
53 papers, 820 citations indexed

About

Supanimit Teekachunhatean is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Supanimit Teekachunhatean has authored 53 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 10 papers in Molecular Biology and 10 papers in Nutrition and Dietetics. Recurrent topics in Supanimit Teekachunhatean's work include Phytoestrogen effects and research (16 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Cancer Risks and Factors (5 papers). Supanimit Teekachunhatean is often cited by papers focused on Phytoestrogen effects and research (16 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Cancer Risks and Factors (5 papers). Supanimit Teekachunhatean collaborates with scholars based in Thailand, Japan and United States. Supanimit Teekachunhatean's co-authors include Nut Koonrungsesomboon, Chaichan Sangdee, Natthakarn Chiranthanut, Kanit Sananpanich, Mingkwan Na Takuathung, Suwalee Pojchamarnwiputh, Ampai Panthong, Nida Buawangpong, Saipin Pongsatha and Somdet Srichairatanakool and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Ethnopharmacology.

In The Last Decade

Supanimit Teekachunhatean

50 papers receiving 789 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Supanimit Teekachunhatean 204 177 162 153 112 53 820
Mary L. Chavez 148 0.7× 154 0.9× 182 1.1× 256 1.7× 258 2.3× 24 933
Anna Bogacz 122 0.6× 294 1.7× 64 0.4× 161 1.1× 108 1.0× 101 914
Sadık Büyükbaş 64 0.3× 151 0.9× 118 0.7× 154 1.0× 73 0.7× 46 885
Wadie I. Najm 305 1.5× 93 0.5× 183 1.1× 177 1.2× 46 0.4× 28 967
Dong‐Il Kim 180 0.9× 208 1.2× 77 0.5× 226 1.5× 67 0.6× 100 807
Aida Malek Mahdavi 76 0.4× 203 1.1× 143 0.9× 79 0.5× 112 1.0× 86 1.1k
Andrea Ledda 162 0.8× 173 1.0× 48 0.3× 74 0.5× 57 0.5× 64 816
Naoki Mantani 117 0.6× 206 1.2× 112 0.7× 160 1.0× 268 2.4× 61 984
Mahmoud A. Elrehany 90 0.4× 212 1.2× 127 0.8× 57 0.4× 95 0.8× 60 894
Niyaz Mohammadzadeh Honarvar 76 0.4× 277 1.6× 182 1.1× 80 0.5× 88 0.8× 35 900

Countries citing papers authored by Supanimit Teekachunhatean

Since Specialization
Citations

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

Fields of papers citing papers by Supanimit Teekachunhatean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supanimit Teekachunhatean

This figure shows the co-authorship network connecting the top 25 collaborators of Supanimit Teekachunhatean. A scholar is included among the top collaborators of Supanimit Teekachunhatean based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Supanimit Teekachunhatean. Supanimit Teekachunhatean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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