Ting Xin
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Geriatrics and Gerontology top 5%
Papers in
-
- Viral Infections and Vectors 6
- Viral gastroenteritis research and epidemiology 6
- Tuberculosis Research and Epidemiology 5
-
- Animal Disease Management and Epidemiology 9
- Co-authors
- Hao Zhou (3 shared papers)Chengzhi Lu (1 shared paper)Hong Zhu (1 shared paper)Nan Hu (1 shared paper)Sai Ma (1 shared paper)Ruibing Li (1 shared paper)Qinhua Jin (1 shared paper)Hongfei Zhu (19 shared papers)
- Journals
- Archives of Virology (3 papers)Aging (3 papers)Clinical and Vaccine Immunology (2 papers)Frontiers in Veterinary Science (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Ting Xin
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Agronomy and Crop Science 227
- Geriatrics and Gerontology 62
- Infectious Diseases 261
- Cancer Research 124
- Immunology 183
Countries citing papers authored by Ting Xin
This map shows the geographic impact of Ting Xin'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 Ting Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Xin more than expected).
Fields of papers citing papers by Ting Xin
This network shows the impact of papers produced by Ting Xin. 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 Ting Xin. The network helps show where Ting Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Xin, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 364 | |
| 2 | 2020 | 135 | |
| 3 | 2018 | 109 | |
| 4 | 2015 | 98 | |
| 5 | 2020 | 87 | |
| 6 | 2014 | 69 | |
| 7 | 2022 | 60 | |
| 8 | 2022 | 52 | |
| 9 | 2018 | 41 | |
| 10 | 2022 | 33 | |
| 11 | 2019 | 30 | |
| 12 | 2018 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2019 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2020 | 17 |
About Ting Xin
Ting Xin is a scholar working on Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology, Immunology and Epidemiology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), Animal Virus Infections Studies (7 papers), Viral Infections and Vectors (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Tuberculosis Research and Epidemiology (5 papers), Virus-based gene therapy research (5 papers), Autophagy in Disease and Therapy (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Agronomy and Crop Science (227 citations), Geriatrics and Gerontology (62 citations), Infectious Diseases (261 citations), Cancer Research (124 citations) and Immunology (183 citations). Ting Xin has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Hao Zhou, Chengzhi Lu, Hong Zhu, Nan Hu, Sai Ma, Ruibing Li, Qinhua Jin, Hongfei Zhu, Pingjun Zhu and Jun Ren. Their work appears in journals such as Archives of Virology, Aging, Clinical and Vaccine Immunology, Frontiers in Veterinary Science and Biochemical and Biophysical Research Communications.
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.