Ting-Ren Lu
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 13
- Oncology 14
- Cancer Treatment and Pharmacology 5
- PARP inhibition in cancer therapy 4
- Co-authors
- Da-Yong Lu (50 shared papers)Hongying Wu (21 shared papers)Bin Xu (12 shared papers)Nagendra Sastry Yarla (13 shared papers)Jian Ping Ding (3 shared papers)Jian Ding (5 shared papers)Dayong Lu (1 shared paper)Hong Zhu (8 shared papers)
- Journals
- Reviews on Recent Clinical Trials (5 papers)Infectious Disorders - Drug Targets (3 papers)Anti-Cancer Agents in Medicinal Chemistry (3 papers)Current Clinical Pharmacology (1 paper)Pharmacogenomics (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ting-Ren Lu
52 papers receiving 524 citations
Peers
Comparison fields: 5 of 90
- Virology 41
- Computational Theory and Mathematics 106
- Oncology 126
- Infectious Diseases 80
- Pharmacology 34
Countries citing papers authored by Ting-Ren Lu
This map shows the geographic impact of Ting-Ren Lu'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-Ren Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Ren Lu more than expected).
Fields of papers citing papers by Ting-Ren Lu
This network shows the impact of papers produced by Ting-Ren Lu. 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-Ren Lu. The network helps show where Ting-Ren Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting-Ren Lu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 141 | |
| 2 | 2017 | 35 | |
| 3 | 2017 | 32 | |
| 4 | 2015 | 28 | |
| 5 | 2010 | 27 | |
| 6 | 2019 | 25 | |
| 7 | 2013 | 23 | |
| 8 | 2012 | 23 | |
| 9 | 2015 | 19 | |
| 10 | 2012 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2010 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2018 | 8 |
About Ting-Ren Lu
Ting-Ren Lu is a scholar working on Computational Theory and Mathematics, Oncology, Pharmacology, Pharmaceutical Science and Pharmacology, having authored 59 papers that have together received 609 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Treatment of Major Depression (6 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Research and Treatments (4 papers), Chemical Reactions and Isotopes (4 papers), Advanced Breast Cancer Therapies (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Virology (41 citations), Computational Theory and Mathematics (106 citations), Oncology (126 citations), Infectious Diseases (80 citations) and Pharmacology (34 citations). Ting-Ren Lu has collaborated with scholars based in China, United States and India. Frequent co-authors include Da-Yong Lu, Hongying Wu, Bin Xu, Nagendra Sastry Yarla, Jian Ping Ding, Jian Ding, Dayong Lu, Hong Zhu, Enhong Chen and Jian Ding. Their work appears in journals such as Reviews on Recent Clinical Trials, Infectious Disorders - Drug Targets, Anti-Cancer Agents in Medicinal Chemistry, Current Clinical Pharmacology and Pharmacogenomics.
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.