Kai Ying
Impact in
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
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- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
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- Cancer Genomics and Diagnostics 1
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Dan S. Nettleton (2 shared papers)Heng Wang (1 shared paper)Patrick S. Schnable (3 shared papers)Bin Han (1 shared paper)Can Li (1 shared paper)Xiaolei Liang (1 shared paper)Jeffrey A. Jeddeloh (2 shared papers)Nathan M. Springer (2 shared papers)
- Journals
- The Plant Journal (2 papers)Oncotarget (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Theoretical and Applied Genetics (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kai Ying
13 papers receiving 396 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 108
- Genetics 107
- Endocrinology, Diabetes and Metabolism 53
- Plant Science 91
- Molecular Biology 145
Countries citing papers authored by Kai Ying
This map shows the geographic impact of Kai Ying'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 Kai Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ying more than expected).
Fields of papers citing papers by Kai Ying
This network shows the impact of papers produced by Kai Ying. 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 Kai Ying. The network helps show where Kai Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ying, 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 | 70 | |
| 2 | 2014 | 69 | |
| 3 | 2017 | 68 | |
| 4 | 2015 | 57 | |
| 5 | 2020 | 45 | |
| 6 | 2003 | 23 | |
| 7 | 2012 | 20 | |
| 8 | 2012 | 17 | |
| 9 | 2019 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 2 | |
| 13 | 2016 | 1 |
About Kai Ying
Kai Ying is a scholar working on Cancer Research, Genetics, Plant Science, Endocrinology, Diabetes and Metabolism and Occupational Therapy, having authored 13 papers that have together received 405 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Cancer Genomics and Diagnostics (1 paper), Biomarkers in Disease Mechanisms (1 paper), Renin-Angiotensin System Studies (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). The work is most often cited by research in Cancer Research (108 citations), Genetics (107 citations), Endocrinology, Diabetes and Metabolism (53 citations), Plant Science (91 citations) and Molecular Biology (145 citations). Kai Ying has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dan S. Nettleton, Heng Wang, Patrick S. Schnable, Bin Han, Can Li, Xiaolei Liang, Jeffrey A. Jeddeloh, Nathan M. Springer, Todd Richmond and Ruth A. Swanson-Wagner. Their work appears in journals such as The Plant Journal, Oncotarget, The Journal of Clinical Endocrinology & Metabolism, Theoretical and Applied Genetics and Free Radical Biology and Medicine.
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.