Xiaobo Wan
Impact in
- Organic Chemistry top 5%
- Click Chemistry and Applications
- Sulfur-Based Synthesis Techniques
- Pharmaceutical Science top 5%
- Fluorine in Organic Chemistry
Papers in
-
- Protein Degradation and Inhibitors 3
- Protein Structure and Dynamics 2
- Chemical Synthesis and Analysis 2
-
- Click Chemistry and Applications 4
- Co-authors
- Jack Taunton (4 shared papers)Alma L. Burlingame (3 shared papers)John C. Kath (2 shared papers)Qian Zhao (1 shared paper)Xiaohu Ouyang (1 shared paper)K.S. Gajiwala (1 shared paper)Lyn H. Jones (1 shared paper)Adolfo Cuesta (3 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Medicine (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaobo Wan
9 papers receiving 560 citations
Peers
Comparison fields: 5 of 61
- Organic Chemistry 328
- Pharmaceutical Science 66
- Molecular Biology 383
- Oncology 83
- Computational Theory and Mathematics 47
Countries citing papers authored by Xiaobo Wan
This map shows the geographic impact of Xiaobo Wan'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 Xiaobo Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Wan more than expected).
Fields of papers citing papers by Xiaobo Wan
This network shows the impact of papers produced by Xiaobo Wan. 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 Xiaobo Wan. The network helps show where Xiaobo Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobo Wan, 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 | 2017 | 300 | |
| 2 | 2020 | 73 | |
| 3 | 2022 | 66 | |
| 4 | 2020 | 52 | |
| 5 | 2012 | 39 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2015 | 2 |
About Xiaobo Wan
Xiaobo Wan is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Infectious Diseases and Pharmacology, having authored 9 papers that have together received 567 indexed citations. Recurring topics across this work include Click Chemistry and Applications (4 papers), Protein Degradation and Inhibitors (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers), Retinal Diseases and Treatments (1 paper), Galectins and Cancer Biology (1 paper) and Fish Biology and Ecology Studies (1 paper). The work is most often cited by research in Organic Chemistry (328 citations), Pharmaceutical Science (66 citations), Molecular Biology (383 citations), Oncology (83 citations) and Computational Theory and Mathematics (47 citations). Xiaobo Wan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jack Taunton, Alma L. Burlingame, John C. Kath, Qian Zhao, Xiaohu Ouyang, K.S. Gajiwala, Lyn H. Jones, Adolfo Cuesta, Tangpo Yang and Brian K. Shoichet. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Proceedings of the National Academy of Sciences, Medicine and IEEE Transactions on Parallel and Distributed Systems.
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.