Ting Ran
- Molecular Biology top 1%
- Protein Degradation and Inhibitors 11
- Protein Structure and Dynamics 7
- Histone Deacetylase Inhibitors Research 6
- Biochemical and Molecular Research 5
- Cancer therapeutics and mechanisms 5
- Virology top 2%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 20
- Infectious Diseases top 5%
- Spectroscopy top 2%
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- Synthesis and biological activity 5
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- Multiple Myeloma Research and Treatments 5
- Co-authors
- Helmut GrubmüllerBert L. de GrootMichael FeigJing HuangSarah RauscherGrzegorz NawrockiYing‐Chih ChengM. G. Sarngadharan
- Journals
- Journal of Chemical Information and Modeling (7 papers)European Journal of Medicinal Chemistry (4 papers)Molecular Diversity (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ting Ran
58 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 4.1k
- Virology 229
- Computational Theory and Mathematics 653
- Infectious Diseases 511
- Spectroscopy 360
Countries citing papers authored by Ting Ran
This map shows the geographic impact of Ting Ran'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 Ting Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Ran more than expected).
Fields of papers citing papers by Ting Ran
This network shows the impact of papers produced by Ting Ran. 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 Ting Ran. The network helps show where Ting Ran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting Ran, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 19 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 51 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 25 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 12 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 18 | |
| 14 | Synthesis and Photocatalytic Property of TiO2/Graphene-Fe3O4 Magnetic Ternary Composite Photocatalyst | 2016 | 1 |
| 15 | CHARMM36m: an improved force field for folded and intrinsically disordered proteinsbreakdown → | 2016 | 4491 |
| 16 | 2015 | 18 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 12 | |
| 20 | 2013 | 11 |
About Ting Ran
Ting Ran is a scholar working on Computational Theory and Mathematics, Health Informatics and Molecular Biology, having authored 60 papers that have together received 5.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Protein Degradation and Inhibitors (11 papers), Protein Structure and Dynamics (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Synthesis and biological activity (5 papers), Multiple Myeloma Research and Treatments (5 papers), Biochemical and Molecular Research (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Virology (229 citations) and Computational Theory and Mathematics (653 citations). Ting Ran has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Helmut Grubmüller, Bert L. de Groot, Michael Feig, Jing Huang, Sarah Rauscher, Grzegorz Nawrocki, Ying‐Chih Cheng, M. G. Sarngadharan, Kenneth F. Bastow and Ginger E. Dutschman. Their work appears in journals such as Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry, Molecular Diversity, Journal of Biological Chemistry and Journal of Medicinal 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.