Xiaojun Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 8
- Circular RNAs in diseases 7
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 11
- Co-authors
- Binwu Ying (48 shared papers)Xingbo Song (26 shared papers)Michael Johnson (1 shared paper)Yuri Ivashchenko (1 shared paper)Andrew S. Kraft (1 shared paper)Gary J. Miller (1 shared paper)Alexandre Nesterov (1 shared paper)William S. Bradshaw (2 shared papers)
- Journals
- Infection Genetics and Evolution (4 papers)Tumor Biology (4 papers)Molecular Biology Reports (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaojun Lu
108 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 527
- Molecular Biology 1.0k
- Infectious Diseases 230
- Pharmacology 175
- Oncology 280
Countries citing papers authored by Xiaojun Lu
This map shows the geographic impact of Xiaojun 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 Xiaojun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Lu more than expected).
Fields of papers citing papers by Xiaojun Lu
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Lu. The network helps show where Xiaojun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 236 | |
| 2 | 1995 | 173 | |
| 3 | 2005 | 77 | |
| 4 | 2019 | 72 | |
| 5 | 2021 | 72 | |
| 6 | 2020 | 69 | |
| 7 | 2015 | 68 | |
| 8 | 2008 | 64 | |
| 9 | 2014 | 60 | |
| 10 | 2019 | 58 | |
| 11 | 2014 | 56 | |
| 12 | 2012 | 40 | |
| 13 | 2013 | 38 | |
| 14 | 2013 | 37 | |
| 15 | 2022 | 34 | |
| 16 | 2015 | 33 | |
| 17 | 2015 | 32 | |
| 18 | 2019 | 32 | |
| 19 | 2017 | 28 | |
| 20 | 2017 | 28 |
About Xiaojun Lu
Xiaojun Lu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (8 papers), Mycobacterium research and diagnosis (8 papers), Circular RNAs in diseases (7 papers), Infectious Diseases and Tuberculosis (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Cancer Research (527 citations), Molecular Biology (1.0k citations), Infectious Diseases (230 citations), Pharmacology (175 citations) and Oncology (280 citations). Xiaojun Lu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Binwu Ying, Xingbo Song, Michael Johnson, Yuri Ivashchenko, Andrew S. Kraft, Gary J. Miller, Alexandre Nesterov, William S. Bradshaw, Daniel L. Simmons and Weilin Xie. Their work appears in journals such as Infection Genetics and Evolution, Tumor Biology, Molecular Biology Reports, PLoS ONE and Scientific Reports.
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.