Da-Yong Lu
Impact in
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Cancer therapeutics and mechanisms 5
- Oncology 23
- Cancer Treatment and Pharmacology 5
- Co-authors
- Ting-Ren Lu (45 shared papers)Hongying Wu (19 shared papers)Bin Xu (11 shared papers)Nagendra Sastry Yarla (12 shared papers)Jian Ding (8 shared papers)Jing Dong (2 shared papers)Jian Ding (3 shared papers)Ting Lu (9 shared papers)
- Journals
- Reviews on Recent Clinical Trials (5 papers)Infectious Disorders - Drug Targets (3 papers)Anti-Cancer Agents in Medicinal Chemistry (3 papers)European Heart Journal (1 paper)Journal of Inflammation Research (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Da-Yong Lu
109 papers receiving 957 citations
Peers
Comparison fields: 5 of 114
- Issues, ethics and legal aspects 21
- Virology 53
- Computational Theory and Mathematics 129
- Oncology 195
- Biochemistry 38
Countries citing papers authored by Da-Yong Lu
This map shows the geographic impact of Da-Yong 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 Da-Yong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Yong Lu more than expected).
Fields of papers citing papers by Da-Yong Lu
This network shows the impact of papers produced by Da-Yong 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 Da-Yong Lu. The network helps show where Da-Yong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da-Yong 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2009 | 65 | |
| 3 | 2005 | 39 | |
| 4 | 2015 | 38 | |
| 5 | 2005 | 37 | |
| 6 | 2010 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 2017 | 31 | |
| 9 | 2013 | 28 | |
| 10 | 2015 | 28 | |
| 11 | 2006 | 24 | |
| 12 | 2011 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2015 | 21 | |
| 16 | 2012 | 21 | |
| 17 | 2018 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2004 | 16 | |
| 20 | 2022 | 15 |
About Da-Yong Lu
Da-Yong Lu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Cancer Research, having authored 125 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Suicide and Self-Harm Studies (8 papers), Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer, Stress, Anesthesia, and Immune Response (7 papers), Treatment of Major Depression (5 papers), Cancer Treatment and Pharmacology (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Issues, ethics and legal aspects (21 citations), Virology (53 citations), Computational Theory and Mathematics (129 citations), Oncology (195 citations) and Biochemistry (38 citations). Da-Yong Lu has collaborated with scholars based in China, United States and India. Frequent co-authors include Ting-Ren Lu, Hongying Wu, Bin Xu, Nagendra Sastry Yarla, Jian Ding, Jing Dong, Jian Ding, Ting Lu, Jian Ding and Hong Zhu. Their work appears in journals such as Reviews on Recent Clinical Trials, Infectious Disorders - Drug Targets, Anti-Cancer Agents in Medicinal Chemistry, European Heart Journal and Journal of Inflammation Research.
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.