Suwisa Kaewphan
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Cell Biology
- Cancer Research
- Co-authors
- Tapio SalakoskiJari BjörneFilip GinterKai HakalaFarrokh MehryaryJyrki LötjönenTomoko OhtaOlli Kallioniemi
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Topic Modeling (5 papers)Bioinformatics and Genomic Networks (4 papers)
- Journals
- BioinformaticsOncogenePeerJ
- Partner nations
- FinlandBelgiumUnited Kingdom
In The Last Decade
Suwisa Kaewphan
10 papers receiving 177 citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 153
- Artificial Intelligence 103
- Computational Theory and Mathematics 41
- Cell Biology 15
- Cancer Research 10
Countries citing papers authored by Suwisa Kaewphan
This map shows the geographic impact of Suwisa Kaewphan'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 Suwisa Kaewphan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suwisa Kaewphan more than expected).
Fields of papers citing papers by Suwisa Kaewphan
This network shows the impact of papers produced by Suwisa Kaewphan. 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 Suwisa Kaewphan. The network helps show where Suwisa Kaewphan may publish in the future.
Co-authorship network of co-authors of Suwisa Kaewphan
This figure shows the co-authorship network connecting the top 25 collaborators of Suwisa Kaewphan. A scholar is included among the top collaborators of Suwisa Kaewphan 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 Suwisa Kaewphan. Suwisa Kaewphan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge | 62 |
| 10 | Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures | 2 |
| 11 | 41 |
About Suwisa Kaewphan
Suwisa Kaewphan is a scholar working on Artificial Intelligence, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 11 papers that have together received 186 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Artificial Intelligence (103 citations), Computational Theory and Mathematics (41 citations) and Molecular Biology (153 citations). Suwisa Kaewphan has collaborated with scholars based in Finland, Belgium and United Kingdom. Frequent co-authors include Tapio Salakoski, Jari Björne, Filip Ginter, Kai Hakala, Farrokh Mehryary, Jyrki Lötjönen, Tomoko Ohta, Olli Kallioniemi, Matias Knuuttila and Roland C. Grafström. Their work appears in journals such as Bioinformatics, Oncogene and PeerJ.
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.