Sarunyou Chusri
- Molecular Medicine top 1%
- Infectious Diseases top 5%
- Epidemiology
- Molecular Biology
- Endocrinology top 5%
- Co-authors
- Ozioma Forstinus NwaborKamonnut SingkhamananSupayang Piyawan VoravuthikunchaiKachornsakdi SilpapojakulVirasakdi ChongsuvivatwongYohei DoiThanaporn HortiwakulEdward McNeil
- Topics
- Antibiotic Resistance in Bacteria (29 papers)Antibiotics Pharmacokinetics and Efficacy (11 papers)SARS-CoV-2 and COVID-19 Research (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ThailandUnited StatesJapan
In The Last Decade
Sarunyou Chusri
65 papers receiving 998 citations
Peers
Comparison fields: 5 of 106
- Molecular Medicine 377
- Infectious Diseases 272
- Epidemiology 209
- Molecular Biology 172
- Endocrinology 159
Countries citing papers authored by Sarunyou Chusri
This map shows the geographic impact of Sarunyou Chusri'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 Sarunyou Chusri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarunyou Chusri more than expected).
Fields of papers citing papers by Sarunyou Chusri
This network shows the impact of papers produced by Sarunyou Chusri. 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 Sarunyou Chusri. The network helps show where Sarunyou Chusri may publish in the future.
Co-authorship network of co-authors of Sarunyou Chusri
This figure shows the co-authorship network connecting the top 25 collaborators of Sarunyou Chusri. A scholar is included among the top collaborators of Sarunyou Chusri 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 Sarunyou Chusri. Sarunyou Chusri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 44 | |
| 15 | 21 | |
| 16 | 35 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | Clinical Outcomes of Community-Acquired Severe Sepsis after Implementation of a Simple Severe Sepsis Fast Track. | 4 |
About Sarunyou Chusri
Sarunyou Chusri is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Molecular Medicine (377 citations), Applied Microbiology and Biotechnology (128 citations) and Endocrinology (159 citations). Sarunyou Chusri has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Ozioma Forstinus Nwabor, Kamonnut Singkhamanan, Supayang Piyawan Voravuthikunchai, Kachornsakdi Silpapojakul, Virasakdi Chongsuvivatwong, Yohei Doi, Thanaporn Hortiwakul, Edward McNeil, Pisud Siripaitoon and Julalak C. Ontong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.