Kanin Wichapong
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 8
- Complement system in diseases 4
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- Computational Drug Discovery Methods 10
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 5
- Hematology top 10%
- Platelet Disorders and Treatments 11
- Blood Coagulation and Thrombosis Mechanisms 6
- Infectious Diseases top 10%
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- S100 Proteins and Annexins 5
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- Protease and Inhibitor Mechanisms 4
- Co-authors
- Gerry A. F. NicolaesWolfgang SipplChris ReutelingspergerJan VoorbergSirirat KokpolSomsak PianwanitXiaosong LiuJoram Huckriede
- Journals
- Journal of Thrombosis and Haemostasis (5 papers)International Journal of Molecular Sciences (4 papers)Thrombosis and Haemostasis (3 papers)
- Partner nations
- NetherlandsGermanyThailand
In The Last Decade
Kanin Wichapong
54 papers receiving 980 citations
Peers
Comparison fields: 5 of 94
- Immunology 339
- Computational Theory and Mathematics 157
- Immunology and Allergy 58
- Hematology 89
- Infectious Diseases 128
Countries citing papers authored by Kanin Wichapong
This map shows the geographic impact of Kanin Wichapong'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 Kanin Wichapong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanin Wichapong more than expected).
Fields of papers citing papers by Kanin Wichapong
This network shows the impact of papers produced by Kanin Wichapong. 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 Kanin Wichapong. The network helps show where Kanin Wichapong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kanin Wichapong, 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 | 2025 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 12 | |
| 17 | 2015 | 19 | |
| 18 | 2013 | 35 | |
| 19 | Identification of potential hit compounds for Dengue virus NS2B/NS3 protease inhibitors by combining virtual screening and binding free energy calculations. | 2013 | 23 |
| 20 | 2013 | 19 |
About Kanin Wichapong
Kanin Wichapong is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 55 papers that have together received 988 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (11 papers), Computational Drug Discovery Methods (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), S100 Proteins and Annexins (5 papers), Cell Adhesion Molecules Research (5 papers), Complement system in diseases (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology (339 citations), Computational Theory and Mathematics (157 citations) and Immunology and Allergy (58 citations). Kanin Wichapong has collaborated with scholars based in Netherlands, Germany and Thailand. Frequent co-authors include Gerry A. F. Nicolaes, Wolfgang Sippl, Chris Reutelingsperger, Jan Voorberg, Sirirat Kokpol, Somsak Pianwanit, Xiaosong Liu, Joram Huckriede, Matthias Schmidt and Frank Erdmann. Their work appears in journals such as Journal of Thrombosis and Haemostasis, International Journal of Molecular Sciences, Thrombosis and Haemostasis, Blood 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.