Shuxing Zhang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
Papers in
-
- Protein Structure and Dynamics 11
- PI3K/AKT/mTOR signaling in cancer 10
- Protein Kinase Regulation and GTPase Signaling 8
- Ubiquitin and proteasome pathways 7
- Receptor Mechanisms and Signaling 6
- RNA modifications and cancer 6
-
- Computational Drug Discovery Methods 29
- Co-authors
- A. Srinivas Reddy (3 shared papers)John Kenneth Morrow (11 shared papers)Lu Chen (7 shared papers)Baojian Wu (6 shared papers)Ming Hu (6 shared papers)Zhi Tan (12 shared papers)Alexander Tropsha (8 shared papers)Alexander Golbraikh (4 shared papers)
- Journals
- Cancer Research (8 papers)Journal of Chemical Information and Modeling (6 papers)Scientific Reports (3 papers)Nature Communications (3 papers)Expert Opinion on Drug Discovery (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shuxing Zhang
83 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 142
- Computational Theory and Mathematics 824
- Molecular Biology 2.8k
- Pharmacology 309
- Cancer Research 467
- Oncology 631
Countries citing papers authored by Shuxing Zhang
This map shows the geographic impact of Shuxing Zhang'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 Shuxing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuxing Zhang more than expected).
Fields of papers citing papers by Shuxing Zhang
This network shows the impact of papers produced by Shuxing Zhang. 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 Shuxing Zhang. The network helps show where Shuxing Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuxing Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 336 | |
| 2 | 2013 | 318 | |
| 3 | 2017 | 246 | |
| 4 | 2011 | 241 | |
| 5 | 2006 | 199 | |
| 6 | 2001 | 184 | |
| 7 | 2012 | 156 | |
| 8 | 2018 | 139 | |
| 9 | 2019 | 138 | |
| 10 | 2014 | 132 | |
| 11 | 1994 | 122 | |
| 12 | 2022 | 113 | |
| 13 | 2015 | 87 | |
| 14 | 2012 | 76 | |
| 15 | 2017 | 76 | |
| 16 | 2008 | 74 | |
| 17 | 2019 | 73 | |
| 18 | 2010 | 66 | |
| 19 | 2006 | 66 | |
| 20 | 2008 | 63 |
About Shuxing Zhang
Shuxing Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Oncology and Pharmacology, having authored 87 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Protein Structure and Dynamics (11 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Ubiquitin and proteasome pathways (7 papers), Receptor Mechanisms and Signaling (6 papers), RNA modifications and cancer (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Computational Theory and Mathematics (824 citations), Molecular Biology (2.8k citations), Pharmacology (309 citations), Cancer Research (467 citations) and Oncology (631 citations). Shuxing Zhang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include A. Srinivas Reddy, John Kenneth Morrow, Lu Chen, Baojian Wu, Ming Hu, Zhi Tan, Alexander Tropsha, Alexander Golbraikh, Lei Du‐Cuny and George A. Călin. Their work appears in journals such as Cancer Research, Journal of Chemical Information and Modeling, Scientific Reports, Nature Communications and Expert Opinion on Drug Discovery.
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.