Kittikhun Wangkanont
- Molecular Biology
- Infectious Diseases top 5%
- Organic Chemistry top 10%
- Immunology
- Computational Theory and Mathematics top 5%
- Co-authors
- Balamurugan ShanmugarajWaranyoo PhoolcharoenKonlavat SiriwattananonLaura L. KiesslingKatrina T. ForestThanyada RungrotmongkolDarryl A. WesenerKowit Hengphasatporn
- Topics
- Computational Drug Discovery Methods (10 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Invertebrate Immune Response Mechanisms (6 papers)
- Partner nations
- ThailandJapanUnited States
In The Last Decade
Kittikhun Wangkanont
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 453
- Infectious Diseases 318
- Organic Chemistry 185
- Immunology 182
- Computational Theory and Mathematics 99
Countries citing papers authored by Kittikhun Wangkanont
This map shows the geographic impact of Kittikhun Wangkanont'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 Kittikhun Wangkanont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kittikhun Wangkanont more than expected).
Fields of papers citing papers by Kittikhun Wangkanont
This network shows the impact of papers produced by Kittikhun Wangkanont. 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 Kittikhun Wangkanont. The network helps show where Kittikhun Wangkanont may publish in the future.
Co-authorship network of co-authors of Kittikhun Wangkanont
This figure shows the co-authorship network connecting the top 25 collaborators of Kittikhun Wangkanont. A scholar is included among the top collaborators of Kittikhun Wangkanont 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 Kittikhun Wangkanont. Kittikhun Wangkanont 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 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | 7 | |
| 16 | 351 | |
| 17 | 5 | |
| 18 | 118 | |
| 19 | 208 | |
| 20 | 51 |
About Kittikhun Wangkanont
Kittikhun Wangkanont is a scholar working on Computational Theory and Mathematics, Immunology and Infectious Diseases, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Invertebrate Immune Response Mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (318 citations), Biotechnology (76 citations) and Immunology (182 citations). Kittikhun Wangkanont has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Balamurugan Shanmugaraj, Waranyoo Phoolcharoen, Konlavat Siriwattananon, Laura L. Kiessling, Katrina T. Forest, Thanyada Rungrotmongkol, Darryl A. Wesener, Kowit Hengphasatporn, Yasuteru Shigeta and Erin E. Carlson. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.
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.