Dong Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
Papers in
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 11
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- Computational Drug Discovery Methods 10
- Polynomial and algebraic computation 5
- Co-authors
- Pentao Liu (7 shared papers)Elena Vigorito (4 shared papers)Rebecca Leyland (3 shared papers)Susan L. Kohlhaas (1 shared paper)Allan Bradley (3 shared papers)Xinjie Lu (9 shared papers)Marie Scully (9 shared papers)Lia S. Campos (5 shared papers)
- Journals
- European Journal of Medicinal Chemistry (6 papers)ACS Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (4 papers)PLoS ONE (3 papers)Science (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dong Lu
95 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 357
- Molecular Biology 1.3k
- Immunology 326
- Hepatology 141
- Computational Theory and Mathematics 260
Countries citing papers authored by Dong Lu
This map shows the geographic impact of Dong 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 Dong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Lu more than expected).
Fields of papers citing papers by Dong Lu
This network shows the impact of papers produced by Dong 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 Dong Lu. The network helps show where Dong Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 318 | |
| 2 | 2010 | 293 | |
| 3 | 2013 | 269 | |
| 4 | 2011 | 214 | |
| 5 | 2010 | 200 | |
| 6 | 2018 | 195 | |
| 7 | 2020 | 175 | |
| 8 | 2023 | 83 | |
| 9 | 2014 | 81 | |
| 10 | 2022 | 76 | |
| 11 | 2012 | 64 | |
| 12 | 2015 | 50 | |
| 13 | 2008 | 47 | |
| 14 | 2022 | 44 | |
| 15 | 2017 | 43 | |
| 16 | 2016 | 42 | |
| 17 | 2015 | 41 | |
| 18 | 2008 | 40 | |
| 19 | 2016 | 40 | |
| 20 | 2013 | 37 |
About Dong Lu
Dong Lu is a scholar working on Hepatology, Computational Theory and Mathematics, Cancer Research, Immunology and Allergy and Molecular Biology, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Computational Drug Discovery Methods (10 papers), Protein Degradation and Inhibitors (8 papers), Cell Adhesion Molecules Research (7 papers), MicroRNA in disease regulation (6 papers), T-cell and B-cell Immunology (5 papers), Synthesis and biological activity (5 papers) and Polynomial and algebraic computation (5 papers). The work is most often cited by research in Cancer Research (357 citations), Molecular Biology (1.3k citations), Immunology (326 citations), Hepatology (141 citations) and Computational Theory and Mathematics (260 citations). Dong Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Pentao Liu, Elena Vigorito, Rebecca Leyland, Susan L. Kohlhaas, Allan Bradley, Xinjie Lu, Marie Scully, Lia S. Campos, Jin Wang and Zemin Ning. Their work appears in journals such as European Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry, PLoS ONE and Science.
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.