Thithiwat May
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Bacterial biofilms and quorum sensing 7
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Satoshi Okabe (9 shared papers)Akinobu Ito (5 shared papers)Koji Kawata (3 shared papers)Alfred Kinana (1 shared paper)Attilio V. Vargiu (1 shared paper)Hiroshi Nikaido (1 shared paper)Kenji Tsuruta (1 shared paper)Yosuke Tashiro (1 shared paper)
- Journals
- Biotechnology and Bioengineering (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)Environmental Microbiology (1 paper)Journal of Bacteriology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Thithiwat May
10 papers receiving 672 citations
Peers
Comparison fields: 5 of 90
- Molecular Medicine 186
- Endocrinology 137
- Microbiology 63
- Periodontics 36
- Molecular Biology 415
Countries citing papers authored by Thithiwat May
This map shows the geographic impact of Thithiwat May'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 Thithiwat May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thithiwat May more than expected).
Fields of papers citing papers by Thithiwat May
This network shows the impact of papers produced by Thithiwat May. 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 Thithiwat May. The network helps show where Thithiwat May may publish in the future.
Co-authors
The 9 scholars most cited alongside Thithiwat May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 274 | |
| 2 | 2009 | 75 | |
| 3 | 2008 | 74 | |
| 4 | 2007 | 74 | |
| 5 | 2016 | 72 | |
| 6 | 2011 | 36 | |
| 7 | 2010 | 28 | |
| 8 | 2009 | 28 | |
| 9 | 2015 | 21 | |
| 10 | 2010 | 9 |
About Thithiwat May
Thithiwat May is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Pollution, having authored 10 papers that have together received 691 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (6 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial Community Ecology and Physiology (2 papers), Bacteriophages and microbial interactions (2 papers), Microplastics and Plastic Pollution (1 paper), Membrane Separation Technologies (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Molecular Medicine (186 citations), Endocrinology (137 citations), Microbiology (63 citations), Periodontics (36 citations) and Molecular Biology (415 citations). Thithiwat May has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Satoshi Okabe, Akinobu Ito, Koji Kawata, Alfred Kinana, Attilio V. Vargiu, Hiroshi Nikaido, Kenji Tsuruta, Yosuke Tashiro and K Yoshida. Their work appears in journals such as Biotechnology and Bioengineering, Antimicrobial Agents and Chemotherapy, Environmental Microbiology, Journal of Bacteriology and Proceedings of the National Academy of Sciences.
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.