Jin Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Gut microbiota and health
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
Papers in
-
- Circular RNAs in diseases 5
- Epigenetics and DNA Methylation 4
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Erfei Chen (14 shared papers)Jieming Qu (1 shared paper)Kaixiong Liu (1 shared paper)Xiaodan Wang (1 shared paper)Tao Qin (1 shared paper)Xingchun Zhou (1 shared paper)Qi Yang (1 shared paper)Dengke Bao (1 shared paper)
- Journals
- Hypertension Research (5 papers)Biomedicine & Pharmacotherapy (4 papers)International Journal of Molecular Sciences (2 papers)Oncotarget (2 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Yang
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 281
- Molecular Biology 649
- Immunology 116
- Pharmacology 44
- Nephrology 33
Countries citing papers authored by Jin Yang
This map shows the geographic impact of Jin Yang'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 Jin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yang more than expected).
Fields of papers citing papers by Jin Yang
This network shows the impact of papers produced by Jin Yang. 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 Jin Yang. The network helps show where Jin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yang, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 183 | |
| 2 | 2013 | 129 | |
| 3 | 2005 | 91 | |
| 4 | 2015 | 85 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 49 | |
| 7 | 2016 | 49 | |
| 8 | 2010 | 42 | |
| 9 | 2016 | 36 | |
| 10 | 2013 | 35 | |
| 11 | 2009 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2016 | 33 | |
| 14 | 2018 | 32 | |
| 15 | 2008 | 31 | |
| 16 | 2016 | 23 | |
| 17 | 2007 | 20 | |
| 18 | 2018 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 16 |
About Jin Yang
Jin Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Ferroptosis and cancer prognosis (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Epigenetics and DNA Methylation (4 papers), Neonatal Health and Biochemistry (3 papers), Hormonal Regulation and Hypertension (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Cancer Research (281 citations), Molecular Biology (649 citations), Immunology (116 citations), Pharmacology (44 citations) and Nephrology (33 citations). Jin Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Erfei Chen, Jieming Qu, Kaixiong Liu, Xiaodan Wang, Tao Qin, Xingchun Zhou, Qi Yang, Dengke Bao, Shaogui Wan and Peng Yuan. Their work appears in journals such as Hypertension Research, Biomedicine & Pharmacotherapy, International Journal of Molecular Sciences, Oncotarget and Aging.
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.