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 5
- Circular RNAs in diseases 5
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 9
- Co-authors
- Binwu Ying (46 shared papers)Xingbo Song (26 shared papers)Alexandre Nesterov (1 shared paper)William S. Bradshaw (2 shared papers)Gary J. Miller (1 shared paper)Michael Johnson (1 shared paper)Daniel L. Simmons (2 shared papers)Yuri Ivashchenko (1 shared paper)
- Journals
- Molecular Biology Reports (4 papers)PLoS ONE (4 papers)Infection Genetics and Evolution (4 papers)Tumor Biology (4 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Xiaojun Lu
108 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 466
- Molecular Biology 921
- Infectious Diseases 196
- Pharmacology 171
- Aging 16
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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 241 | |
| 2 | 1995 | 185 | |
| 3 | 2005 | 80 | |
| 4 | 2015 | 78 | |
| 5 | 2021 | 77 | |
| 6 | 2019 | 75 | |
| 7 | 2020 | 70 | |
| 8 | 2008 | 70 | |
| 9 | 2014 | 62 | |
| 10 | 2019 | 62 | |
| 11 | 2014 | 57 | |
| 12 | 2012 | 41 | |
| 13 | 2013 | 39 | |
| 14 | 2022 | 38 | |
| 15 | 2013 | 38 | |
| 16 | 2015 | 34 | |
| 17 | 2015 | 33 | |
| 18 | 2019 | 33 | |
| 19 | 2011 | 30 | |
| 20 | 2020 | 30 |
About Xiaojun Lu
Xiaojun Lu is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), Lung Cancer Treatments and Mutations (5 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (5 papers), Hepatitis B Virus Studies (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Cancer Research (466 citations), Molecular Biology (921 citations), Infectious Diseases (196 citations), Pharmacology (171 citations) and Aging (16 citations). Xiaojun Lu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Binwu Ying, Xingbo Song, Alexandre Nesterov, William S. Bradshaw, Gary J. Miller, Michael Johnson, Daniel L. Simmons, Yuri Ivashchenko, Andrew S. Kraft and David W. Reed. Their work appears in journals such as Molecular Biology Reports, PLoS ONE, Infection Genetics and Evolution, Tumor Biology and Medicine.
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.