Yang Jin
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Physiology top 10%
Papers in
-
- Autophagy in Disease and Therapy 7
- Influenza Virus Research Studies 2
- Co-authors
- Augustine M.K. Choi (6 shared papers)Stefan W. Ryter (5 shared papers)Seon‐Jin Lee (5 shared papers)Emeka Ifedigbo (2 shared papers)Jiaofei Cao (1 shared paper)Harikrishnan Parameswaran (1 shared paper)Hilaire C. Lam (1 shared paper)Zhi-Hua Chen (1 shared paper)
- Journals
- Autophagy (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)JMIR Public Health and Surveillance (1 paper)Journal of Medical Internet Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Yang Jin
10 papers receiving 806 citations
Peers
Comparison fields: 5 of 90
- Epidemiology 503
- Physiology 43
- Cancer Research 115
- Pulmonary and Respiratory Medicine 218
- Molecular Biology 403
Countries citing papers authored by Yang Jin
This map shows the geographic impact of Yang Jin'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 Yang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Jin more than expected).
Fields of papers citing papers by Yang Jin
This network shows the impact of papers produced by Yang Jin. 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 Yang Jin. The network helps show where Yang Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Jin, 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 | 2010 | 310 | |
| 2 | 2010 | 180 | |
| 3 | 2011 | 109 | |
| 4 | 2011 | 107 | |
| 5 | 2012 | 34 | |
| 6 | 2013 | 33 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 10 | |
| 9 | Formation Mechanism of No.1 Part Slide of Huangtupo Landslide in the Three Gorges Reservoir Area | 2013 | 6 |
| 10 | Cross-talk between apoptosis and autophagy in lung epithelial cell death. | 2014 | 4 |
About Yang Jin
Yang Jin is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Modeling and Simulation and Cancer Research, having authored 10 papers that have together received 809 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers), MicroRNA in disease regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Soil, Finite Element Methods (1 paper), Plant responses to water stress (1 paper) and Landslides and related hazards (1 paper). The work is most often cited by research in Epidemiology (503 citations), Physiology (43 citations), Cancer Research (115 citations), Pulmonary and Respiratory Medicine (218 citations) and Molecular Biology (403 citations). Yang Jin has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Augustine M.K. Choi, Stefan W. Ryter, Seon‐Jin Lee, Emeka Ifedigbo, Jiaofei Cao, Harikrishnan Parameswaran, Hilaire C. Lam, Zhi-Hua Chen, Akihiko Tanaka and Hong Pyo Kim. Their work appears in journals such as Autophagy, American Journal of Respiratory Cell and Molecular Biology, JMIR Public Health and Surveillance, Journal of Medical Internet Research and Proceedings of the National Academy of Sciences.
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.