Ying Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Reproductive System and Pregnancy
- interferon and immune responses
Papers in
- Immunology 31
- Reproductive System and Pregnancy 15
- interferon and immune responses 8
- Co-authors
- Feifan Zhou (3 shared papers)Da Xing (3 shared papers)Jing‐Pian Peng (17 shared papers)Jiarui Wu (4 shared papers)Sanhong Liu (1 shared paper)Tomi P. Mäkelä (1 shared paper)Laurence Tomlinson (2 shared papers)Hong‐Fei Xia (7 shared papers)
- Journals
- Fish & Shellfish Immunology (8 papers)Biochemical and Biophysical Research Communications (3 papers)Vaccine (3 papers)PLoS ONE (3 papers)Human Reproduction (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Yang
126 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 445
- Immunology 546
- Molecular Biology 1.3k
- Reproductive Medicine 134
- Epidemiology 476
Countries citing papers authored by Ying Yang
This map shows the geographic impact of Ying 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 Ying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yang more than expected).
Fields of papers citing papers by Ying Yang
This network shows the impact of papers produced by Ying 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 Ying Yang. The network helps show where Ying Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 357 | |
| 2 | 2011 | 103 | |
| 3 | 2019 | 82 | |
| 4 | 2013 | 79 | |
| 5 | 2017 | 74 | |
| 6 | 2016 | 69 | |
| 7 | 2021 | 66 | |
| 8 | 2018 | 66 | |
| 9 | 2021 | 65 | |
| 10 | 2018 | 63 | |
| 11 | 2012 | 61 | |
| 12 | 2021 | 50 | |
| 13 | 2010 | 50 | |
| 14 | 2016 | 45 | |
| 15 | 2015 | 41 | |
| 16 | 2010 | 38 | |
| 17 | 2008 | 38 | |
| 18 | 2018 | 38 | |
| 19 | 2016 | 37 | |
| 20 | 2016 | 36 |
About Ying Yang
Ying Yang is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Pathology and Forensic Medicine, having authored 140 papers that have together received 2.7k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (15 papers), Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (10 papers), Autophagy in Disease and Therapy (9 papers), interferon and immune responses (8 papers), Estrogen and related hormone effects (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Pregnancy and preeclampsia studies (6 papers). The work is most often cited by research in Cancer Research (445 citations), Immunology (546 citations), Molecular Biology (1.3k citations), Reproductive Medicine (134 citations) and Epidemiology (476 citations). Ying Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feifan Zhou, Da Xing, Jing‐Pian Peng, Jiarui Wu, Sanhong Liu, Tomi P. Mäkelä, Laurence Tomlinson, Hong‐Fei Xia, Jonathan D. G. Jones and Xiaohong Huang. Their work appears in journals such as Fish & Shellfish Immunology, Biochemical and Biophysical Research Communications, Vaccine, PLoS ONE and Human Reproduction.
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.