Junli Yan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 5
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- MicroRNA in disease regulation 3
- Co-authors
- Wee Joo Chng (10 shared papers)Chonglei Bi (6 shared papers)Huck‐Hui Ng (3 shared papers)Joy Mei-Ling Tan (5 shared papers)Siok‐Bian Ng (5 shared papers)Viknesvaran Selvarajan (4 shared papers)Tae‐Hoon Chung (4 shared papers)Qiang Yu (2 shared papers)
In The Last Decade
Junli Yan
21 papers receiving 836 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 132
- Pathology and Forensic Medicine 130
- Oncology 151
- Molecular Biology 351
- Immunology 90
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 138 | |
| 2 | 2016 | 115 | |
| 3 | 2011 | 96 | |
| 4 | 2013 | 88 | |
| 5 | 2001 | 80 | |
| 6 | 2007 | 65 | |
| 7 | 2017 | 53 | |
| 8 | 2015 | 47 | |
| 9 | 2019 | 38 | |
| 10 | 2013 | 37 | |
| 11 | 2019 | 33 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2012 | 8 | |
| 16 | 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 |
| 17 | 2025 | 4 | |
| 18 | 1999 | 3 | |
| 19 | 2011 | 3 | |
| 20 | Early ontogeny of chromatophores and skin color changes of spotted halibut (Verasper variegatus). | 2017 | 1 |
About Junli Yan
Junli Yan is a scholar working on Pathology and Forensic Medicine, Cancer Research, Molecular Biology, Aquatic Science and Equine, having authored 21 papers that have together received 849 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers), MicroRNA in disease regulation (3 papers), Pluripotent Stem Cells Research (2 papers), Aquaculture Nutrition and Growth (2 papers), Cancer Immunotherapy and Biomarkers (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (132 citations), Pathology and Forensic Medicine (130 citations), Oncology (151 citations), Molecular Biology (351 citations) and Immunology (90 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, Joy Mei-Ling Tan, Siok‐Bian Ng, Viknesvaran Selvarajan, Tae‐Hoon Chung, Qiang Yu, Yun-Shen Chan and Jonathan Göke. Their work appears in journals such as Blood, Oncotarget, Biochemical and Biophysical Research Communications, RNA Biology and Molecular Cell.
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.