Jinke Yang
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
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- Vector-Borne Animal Diseases
Papers in
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- Animal Disease Management and Epidemiology 14
-
- Vector-Borne Animal Diseases 8
- Co-authors
- Haixue Zheng (17 shared papers)Xijuan Shi (16 shared papers)Xiangtao Liu (17 shared papers)Hao Yu (16 shared papers)Dajun Zhang (16 shared papers)Chaochao Shen (10 shared papers)Keshan Zhang (10 shared papers)Bo Yang (8 shared papers)
- Journals
- Virology Journal (3 papers)Frontiers in Veterinary Science (2 papers)Virus Research (2 papers)iScience (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- China
In The Last Decade
Jinke Yang
21 papers receiving 323 citations
Jinke Yang's Hit Papers
Peers
Comparison fields: 5 of 55
- Agronomy and Crop Science 166
- Ecology, Evolution, Behavior and Systematics 109
- Infectious Diseases 94
- Animal Science and Zoology 48
- Immunology 82
Countries citing papers authored by Jinke Yang
This map shows the geographic impact of Jinke 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 Jinke Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinke Yang more than expected).
Fields of papers citing papers by Jinke Yang
This network shows the impact of papers produced by Jinke 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 Jinke Yang. The network helps show where Jinke Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinke 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MGF360-9L Is a Major Virulence Factor Associated with the African Swine Fever Virus by Antagonizing the JAK/STAT Signaling Pathway Hit paper breakdown → | 2022 | 91 |
| 2 | 2022 | 71 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 35 | |
| 5 | 2023 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Jinke Yang
Jinke Yang is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Immunology and Molecular Biology, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (8 papers), Viral gastroenteritis research and epidemiology (4 papers), T-cell and Retrovirus Studies (3 papers), Viral Infections and Immunology Research (3 papers), Viral Infections and Vectors (2 papers), RNA Research and Splicing (2 papers) and MXene and MAX Phase Materials (2 papers). The work is most often cited by research in Agronomy and Crop Science (166 citations), Ecology, Evolution, Behavior and Systematics (109 citations), Infectious Diseases (94 citations), Animal Science and Zoology (48 citations) and Immunology (82 citations). Jinke Yang has collaborated with scholars based in China. Frequent co-authors include Haixue Zheng, Xijuan Shi, Xiangtao Liu, Hao Yu, Dajun Zhang, Chaochao Shen, Keshan Zhang, Bo Yang, Keshan Zhang and Xuehui Chen. Their work appears in journals such as Virology Journal, Frontiers in Veterinary Science, Virus Research, iScience and Frontiers in Cellular and Infection Microbiology.
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.