Junli Yan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune Cell Function and Interaction
Papers in
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- Circular RNAs in diseases 3
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Pluripotent Stem Cells Research 2
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- Immune Cell Function and Interaction 5
- Co-authors
- Wee Joo Chng (10 shared papers)Chonglei Bi (6 shared papers)Huck‐Hui Ng (4 shared papers)Siok‐Bian Ng (5 shared papers)Joy Tan (5 shared papers)Viknesvaran Selvarajan (4 shared papers)Gaofeng Huang (5 shared papers)Tae‐Hoon Chung (4 shared papers)
In The Last Decade
Junli Yan
22 papers receiving 802 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 179
- Immunology 188
- Pathology and Forensic Medicine 133
- Molecular Biology 513
- Oncology 164
Countries citing papers authored by Junli Yan
This map shows the geographic impact of Junli 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 Junli Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Yan more than expected).
Fields of papers citing papers by Junli Yan
This network shows the impact of papers produced by Junli 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 Junli Yan. The network helps show where Junli Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 133 | |
| 2 | 2016 | 107 | |
| 3 | 2011 | 92 | |
| 4 | 2013 | 82 | |
| 5 | 2001 | 80 | |
| 6 | 2007 | 65 | |
| 7 | 2017 | 52 | |
| 8 | 2015 | 45 | |
| 9 | 2019 | 37 | |
| 10 | 2013 | 36 | |
| 11 | 2019 | 29 | |
| 12 | 2023 | 13 | |
| 13 | 2017 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2012 | 6 | |
| 16 | 2012 | 6 | |
| 17 | Effects of Antarctic krill meal replacing fish meal on growth performance, serum and liver biochemical indices and serum non-specific immune indices of juvenile spotted halibut (Verasper variegatus). | 2016 | 4 |
| 18 | 1999 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2025 | 2 |
About Junli Yan
Junli Yan is a scholar working on Molecular Biology, Immunology, Cancer Research, Pathology and Forensic Medicine and Aquatic Science, having authored 22 papers that have together received 815 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Circular RNAs in diseases (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Pluripotent Stem Cells Research (2 papers), Aquaculture Nutrition and Growth (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Cancer Research (179 citations), Immunology (188 citations), Pathology and Forensic Medicine (133 citations), Molecular Biology (513 citations) and Oncology (164 citations). Junli Yan has collaborated with scholars based in Singapore, China and Japan. Frequent co-authors include Wee Joo Chng, Chonglei Bi, Huck‐Hui Ng, Siok‐Bian Ng, Joy Tan, Viknesvaran Selvarajan, Gaofeng Huang, Tae‐Hoon Chung, Norio Shimizu and Qiang Yu. Their work appears in journals such as Blood, Oncotarget, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Developmental Biology and British Journal of Haematology.
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.