Yanjun Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
Papers in
-
- Circular RNAs in diseases 5
- Cancer-related gene regulation 5
- RNA modifications and cancer 5
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 5
- Co-authors
- Xiong Wang (44 shared papers)Yaowu Zhu (28 shared papers)Ziyong Sun (15 shared papers)Lu Tan (4 shared papers)Na Shen (25 shared papers)Jing Peng (17 shared papers)Liming Cheng (8 shared papers)Weiyong Liu (3 shared papers)
- Journals
- Oncotarget (6 papers)Scientific Reports (5 papers)PLoS ONE (3 papers)Frontiers in Genetics (3 papers)Blood Coagulation & Fibrinolysis (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yanjun Lu
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 291
- Obstetrics and Gynecology 124
- Infectious Diseases 281
- Biological Psychiatry 30
- Health Informatics 14
Countries citing papers authored by Yanjun Lu
This map shows the geographic impact of Yanjun 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 Yanjun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Lu more than expected).
Fields of papers citing papers by Yanjun Lu
This network shows the impact of papers produced by Yanjun 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 Yanjun Lu. The network helps show where Yanjun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 174 | |
| 2 | 2019 | 130 | |
| 3 | Coronavirus Disease 2019 (COVID-19) During Pregnancy: A Case Series | 2020 | 115 |
| 4 | 2021 | 104 | |
| 5 | 2015 | 101 | |
| 6 | 2021 | 71 | |
| 7 | 2011 | 59 | |
| 8 | 2023 | 54 | |
| 9 | 2020 | 37 | |
| 10 | 2023 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2010 | 34 | |
| 14 | 2014 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2013 | 29 | |
| 18 | 2022 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2015 | 27 |
About Yanjun Lu
Yanjun Lu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Physiology and Epidemiology, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), COVID-19 Clinical Research Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), Cancer-related gene regulation (5 papers), Blood properties and coagulation (5 papers), MicroRNA in disease regulation (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (291 citations), Obstetrics and Gynecology (124 citations), Infectious Diseases (281 citations), Biological Psychiatry (30 citations) and Health Informatics (14 citations). Yanjun Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiong Wang, Yaowu Zhu, Ziyong Sun, Lu Tan, Na Shen, Jing Peng, Liming Cheng, Weiyong Liu, Li Tan and Xu Wang. Their work appears in journals such as Oncotarget, Scientific Reports, PLoS ONE, Frontiers in Genetics and Blood Coagulation & Fibrinolysis.
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.