Patchreenart Saparpakorn
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
Papers in
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- Cancer therapeutics and mechanisms 12
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- Tuberculosis Research and Epidemiology 9
- HIV/AIDS drug development and treatment 8
- Co-authors
- Supa Hannongbua (43 shared papers)Pimolpan Pithayanukul (4 shared papers)Jiraporn Leanpolchareanchai (4 shared papers)Rapepol Bavovada (3 shared papers)Pornpan Pungpo (19 shared papers)Peter Wolschann (10 shared papers)Supanna Techasakul (5 shared papers)Nisachon Khunnawutmanotham (4 shared papers)
In The Last Decade
Patchreenart Saparpakorn
58 papers receiving 759 citations
Peers
Comparison fields: 5 of 100
- Virology 54
- Infectious Diseases 170
- Biochemistry 49
- Pharmacology 121
- Computational Theory and Mathematics 111
Countries citing papers authored by Patchreenart Saparpakorn
This map shows the geographic impact of Patchreenart Saparpakorn'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 Patchreenart Saparpakorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patchreenart Saparpakorn more than expected).
Fields of papers citing papers by Patchreenart Saparpakorn
This network shows the impact of papers produced by Patchreenart Saparpakorn. 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 Patchreenart Saparpakorn. The network helps show where Patchreenart Saparpakorn may publish in the future.
Co-authors
The 25 scholars most cited alongside Patchreenart Saparpakorn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 67 | |
| 2 | 2009 | 52 | |
| 3 | 2009 | 51 | |
| 4 | 2009 | 47 | |
| 5 | 2010 | 47 | |
| 6 | 2017 | 40 | |
| 7 | 2014 | 37 | |
| 8 | 2007 | 32 | |
| 9 | 2015 | 29 | |
| 10 | 2016 | 26 | |
| 11 | 2016 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2003 | 15 | |
| 16 | 2008 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2015 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2010 | 12 |
About Patchreenart Saparpakorn
Patchreenart Saparpakorn is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Computational Theory and Mathematics and Pharmacology, having authored 63 papers that have together received 780 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Cancer therapeutics and mechanisms (12 papers), Tuberculosis Research and Epidemiology (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), HIV/AIDS drug development and treatment (8 papers), Synthesis and biological activity (6 papers), Malaria Research and Control (5 papers) and Chemical synthesis and alkaloids (4 papers). The work is most often cited by research in Virology (54 citations), Infectious Diseases (170 citations), Biochemistry (49 citations), Pharmacology (121 citations) and Computational Theory and Mathematics (111 citations). Patchreenart Saparpakorn has collaborated with scholars based in Thailand, Austria and Japan. Frequent co-authors include Supa Hannongbua, Pimolpan Pithayanukul, Jiraporn Leanpolchareanchai, Rapepol Bavovada, Pornpan Pungpo, Peter Wolschann, Supanna Techasakul, Nisachon Khunnawutmanotham, Nitirat Chimnoi and Chanan Angsuthanasombat. Their work appears in journals such as Molecules, Chemico-Biological Interactions, Journal of Biomolecular Structure and Dynamics, SAR and QSAR in environmental research and Scientific Reports.
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.