Jingjun Yan
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- RNA Research and Splicing 2
- Circular RNAs in diseases 2
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- Cancer Mechanisms and Therapy 4
- Co-authors
- Xingxing He (11 shared papers)Ying Chang (4 shared papers)Jiazhi Liao (3 shared papers)Yu‐Nan Zhang (3 shared papers)Jusheng Lin (2 shared papers)Junwei Yan (5 shared papers)Ju‐Sheng Lin (3 shared papers)Yuhu Song (4 shared papers)
- Journals
- Tumor Biology (3 papers)Oncotarget (2 papers)Liver International (1 paper)Scientific Reports (1 paper)FEBS Journal (1 paper)
- Partner nations
- China
In The Last Decade
Jingjun Yan
16 papers receiving 394 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 153
- Molecular Biology 245
- Pathology and Forensic Medicine 49
- Oncology 57
- Infectious Diseases 32
Countries citing papers authored by Jingjun Yan
This map shows the geographic impact of Jingjun Yan'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 Jingjun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjun Yan more than expected).
Fields of papers citing papers by Jingjun Yan
This network shows the impact of papers produced by Jingjun Yan. 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 Jingjun Yan. The network helps show where Jingjun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingjun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2019 | 55 | |
| 3 | 2020 | 54 | |
| 4 | 2014 | 29 | |
| 5 | 2015 | 27 | |
| 6 | 2017 | 26 | |
| 7 | 2023 | 22 | |
| 8 | 2015 | 22 | |
| 9 | 2014 | 20 | |
| 10 | 2016 | 18 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 11 | |
| 13 | 2024 | 8 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | [Experimental study on the prevention of epidural scar adhesion with polycaprolactone/polylactic acid membrane]. | 2004 | 0 |
About Jingjun Yan
Jingjun Yan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Infectious Diseases and Mechanics of Materials, having authored 17 papers that have together received 399 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Metal and Thin Film Mechanics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (3 papers), RNA Research and Splicing (2 papers), Diamond and Carbon-based Materials Research (2 papers), Circular RNAs in diseases (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (245 citations), Pathology and Forensic Medicine (49 citations), Oncology (57 citations) and Infectious Diseases (32 citations). Jingjun Yan has collaborated with scholars based in China. Frequent co-authors include Xingxing He, Ying Chang, Jiazhi Liao, Yu‐Nan Zhang, Jusheng Lin, Junwei Yan, Ju‐Sheng Lin, Yuhu Song, Peiyuan Li and Min Wang. Their work appears in journals such as Tumor Biology, Oncotarget, Liver International, Scientific Reports and FEBS Journal.
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.