Gang Shen
- Analytical Chemistry top 5%
- Toxicology top 5%
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- Heat shock proteins research 7
- Protein Structure and Dynamics 3
- RNA Research and Splicing 3
- Molecular Medicine top 10%
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- Microstructure and Mechanical Properties of Steels 4
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- Computational Drug Discovery Methods 4
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- Drug Solubulity and Delivery Systems 3
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- Magnetic Properties and Applications 3
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- Kidney Stones and Urolithiasis Treatments 2
- Co-authors
- Brian S. J. BlaggHian Kee LeeXiao YuRastislav LevickyLen NeckersBenjamin CronkJeff M. HolzbeierleinMingwen Wang
- Journals
- Journal of the American Chemical Society (3 papers)Nucleic Acids Research (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Gang Shen
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Analytical Chemistry 136
- Toxicology 46
- Molecular Biology 668
- Cancer Research 136
- Molecular Medicine 41
Countries citing papers authored by Gang Shen
This map shows the geographic impact of Gang Shen'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 Gang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Shen more than expected).
Fields of papers citing papers by Gang Shen
This network shows the impact of papers produced by Gang Shen. 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 Gang Shen. The network helps show where Gang Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Shen, 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 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 2 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 26 | |
| 11 | 2018 | 5 | |
| 12 | 2015 | 23 | |
| 13 | 2015 | 47 | |
| 14 | 2015 | 8 | |
| 15 | 2012 | 50 | |
| 16 | 2012 | 72 | |
| 17 | Determination of Moisture in Liquid Amine Mixture Propellant Fuel by Karl Fischer Titrimetry | 2011 | 1 |
| 18 | 2006 | 29 | |
| 19 | 2004 | 31 | |
| 20 | 2004 | 24 |
About Gang Shen
Gang Shen is a scholar working on Pharmaceutical Science, Filtration and Separation and Molecular Biology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Heat shock proteins research (7 papers), Microstructure and Mechanical Properties of Steels (4 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Drug Solubulity and Delivery Systems (3 papers), Magnetic Properties and Applications (3 papers), RNA Research and Splicing (3 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Analytical Chemistry (136 citations), Toxicology (46 citations) and Molecular Biology (668 citations). Gang Shen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Brian S. J. Blagg, Hian Kee Lee, Xiao Yu, Rastislav Levicky, Len Neckers, Benjamin Cronk, Jeff M. Holzbeierlein, Mingwen Wang, Da Chen and Xu Chen. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research 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.