Wipapat Kladwang
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 28
- RNA modifications and cancer 18
- RNA Research and Splicing 12
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 3
- Genomics and Phylogenetic Studies 3
- Structural Biology top 5%
- Computer Science Applications top 10%
- Ecology top 10%
- Bacteriophages and microbial interactions 5
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- Bacterial Genetics and Biotechnology 4
- Co-authors
- Rhiju DasPablo CorderoChristopher C. VanLangSiqi TianShifeng XueMaria BarnaKotaro FujiiSungroh Yoon
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Wipapat Kladwang
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.6k
- Structural Biology 29
- Computer Science Applications 41
- Cardiology and Cardiovascular Medicine 130
- Ecology 130
Countries citing papers authored by Wipapat Kladwang
This map shows the geographic impact of Wipapat Kladwang'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 Wipapat Kladwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wipapat Kladwang more than expected).
Fields of papers citing papers by Wipapat Kladwang
This network shows the impact of papers produced by Wipapat Kladwang. 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 Wipapat Kladwang. The network helps show where Wipapat Kladwang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wipapat Kladwang, 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 | 0 | |
| 2 | 2022 | 63 | |
| 3 | 2022 | 15 | |
| 4 | 2021 | 51 | |
| 5 | 2021 | 111 | |
| 6 | 2020 | 120 | |
| 7 | 2019 | 49 | |
| 8 | 2018 | 33 | |
| 9 | 2017 | 45 | |
| 10 | 2016 | 22 | |
| 11 | 2015 | 54 | |
| 12 | 2014 | 182 | |
| 13 | 2014 | 43 | |
| 14 | 2014 | 228 | |
| 15 | 2013 | 49 | |
| 16 | 2012 | 59 | |
| 17 | 2011 | 92 | |
| 18 | 2011 | 37 | |
| 19 | 2011 | 71 | |
| 20 | 2006 | 24 |
About Wipapat Kladwang
Wipapat Kladwang is a scholar working on Structural Biology, Molecular Biology and Ecology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (28 papers), RNA modifications and cancer (18 papers), RNA Research and Splicing (12 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Genetics and Biotechnology (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Structural Biology (29 citations) and Computer Science Applications (41 citations). Wipapat Kladwang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Rhiju Das, Pablo Cordero, Christopher C. VanLang, Siqi Tian, Shifeng Xue, Maria Barna, Kotaro Fujii, Sungroh Yoon, Fang‐Chieh Chou and Joseph D. Yesselman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.