Jing Yan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 11
-
- Reproductive tract infections research 7
- Co-authors
- Jingyi JiangCheng HuWeiping JiaJiamei WangXiaona MengHua‐Qin WangDanfeng PengZhi‐Hong Zong
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (7 papers)Cell Death and Disease (5 papers)Scientific Reports (4 papers)Journal of Antimicrobial Chemotherapy (3 papers)Journal of Cellular and Molecular Medicine (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jing Yan
120 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 437
- Microbiology 117
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 159
- Geriatrics and Gerontology 35
Countries citing papers authored by Jing Yan
This map shows the geographic impact of Jing 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 Jing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yan more than expected).
Fields of papers citing papers by Jing Yan
This network shows the impact of papers produced by Jing 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 Jing Yan. The network helps show where Jing Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing 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 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 112 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2015 | 13 | |
| 17 | 2015 | 21 | |
| 18 | 2014 | 12 | |
| 19 | 2013 | 94 | |
| 20 | Expressions of nm23H_1 and E-Cadherin Protein and Their Clinical Significances in Non small cell Lung Carcinoma | 2003 | 1 |
About Jing Yan
Jing Yan is a scholar working on Cancer Research, Microbiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 124 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (11 papers), Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Reproductive tract infections research (7 papers), Genetic Associations and Epidemiology (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (437 citations), Microbiology (117 citations), Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (159 citations) and Geriatrics and Gerontology (35 citations). Jing Yan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jingyi Jiang, Cheng Hu, Weiping Jia, Jiamei Wang, Xiaona Meng, Hua‐Qin Wang, Danfeng Peng, Zhi‐Hong Zong, Bao-Qin Liu and Fan Yang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Cell Death and Disease, Scientific Reports, Journal of Antimicrobial Chemotherapy and Journal of Cellular and Molecular 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.