Chun Lu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 2%
- Viral-associated cancers and disorders
Papers in
- Oncology 41
- Viral-associated cancers and disorders 41
- Epidemiology 19
- Cytomegalovirus and herpesvirus research 15
- Herpesvirus Infections and Treatments 6
- Co-authors
- Shou‐Jiang Gao (34 shared papers)Qin Yan (28 shared papers)Di Qin (14 shared papers)Shuihong Yao (10 shared papers)Jae U. Jung (9 shared papers)Wan Li (10 shared papers)Jianzhong Zhu (9 shared papers)Xuemei Jia (9 shared papers)
- Journals
- Journal of Virology (8 papers)PLoS Pathogens (8 papers)Cell Death and Differentiation (6 papers)Oncogene (4 papers)mBio (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chun Lu
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 589
- Oncology 942
- Epidemiology 593
- Virology 80
- Immunology 291
Countries citing papers authored by Chun Lu
This map shows the geographic impact of Chun 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 Chun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Lu more than expected).
Fields of papers citing papers by Chun Lu
This network shows the impact of papers produced by Chun 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 Chun Lu. The network helps show where Chun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 128 | |
| 2 | 2006 | 103 | |
| 3 | 2013 | 84 | |
| 4 | 2014 | 83 | |
| 5 | 2017 | 75 | |
| 6 | 2017 | 74 | |
| 7 | 2015 | 73 | |
| 8 | 2013 | 66 | |
| 9 | 2016 | 61 | |
| 10 | 2015 | 55 | |
| 11 | 2018 | 55 | |
| 12 | 2011 | 53 | |
| 13 | 2023 | 49 | |
| 14 | 2005 | 46 | |
| 15 | 2017 | 42 | |
| 16 | 2017 | 42 | |
| 17 | 2016 | 41 | |
| 18 | 2009 | 41 | |
| 19 | 2013 | 40 | |
| 20 | 2016 | 40 |
About Chun Lu
Chun Lu is a scholar working on Oncology, Epidemiology, Cancer Research, Molecular Biology and Physiology, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (41 papers), Cytomegalovirus and herpesvirus research (15 papers), Cancer-related molecular mechanisms research (15 papers), Histiocytic Disorders and Treatments (14 papers), RNA modifications and cancer (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Herpesvirus Infections and Treatments (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Cancer Research (589 citations), Oncology (942 citations), Epidemiology (593 citations), Virology (80 citations) and Immunology (291 citations). Chun Lu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shou‐Jiang Gao, Qin Yan, Di Qin, Shuihong Yao, Jae U. Jung, Wan Li, Jianzhong Zhu, Xuemei Jia, Cong Wang and Xiangya Ding. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Cell Death and Differentiation, Oncogene and mBio.
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.