Kai Ying
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
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- Genomics and Phylogenetic Studies 2
- Kruppel-like factors research 1
- Wnt/β-catenin signaling in development and cancer 1
- Genetics 5
- Genomic variations and chromosomal abnormalities 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Dan Nettleton (2 shared papers)Heng Wang (1 shared paper)Nathan M. Springer (2 shared papers)Patrick S. Schnable (3 shared papers)Jeffrey A. Jeddeloh (2 shared papers)Daniel J. Gerhardt (2 shared papers)Ruth A. Swanson-Wagner (2 shared papers)Todd Richmond (2 shared papers)
- Journals
- The Plant Journal (2 papers)Theoretical and Applied Genetics (1 paper)The Journal of Urology (1 paper)Kidney International (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Kai Ying
12 papers receiving 294 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 89
- Genetics 91
- Endocrinology, Diabetes and Metabolism 44
- Plant Science 85
- Molecular Biology 146
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 | 2017 | 66 | |
| 2 | 2014 | 62 | |
| 3 | 2010 | 62 | |
| 4 | 2020 | 32 | |
| 5 | 2003 | 22 | |
| 6 | 2012 | 16 | |
| 7 | 2012 | 16 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 6 | |
| 10 | 2016 | 4 | |
| 11 | 2021 | 2 | |
| 12 | 2016 | 1 |
About Kai Ying
Kai Ying is a scholar working on Molecular Biology, Genetics, Plant Science, Endocrinology, Diabetes and Metabolism and Surgery, having authored 12 papers that have together received 299 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), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Kruppel-like factors research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Cancer Research (89 citations), Genetics (91 citations), Endocrinology, Diabetes and Metabolism (44 citations), Plant Science (85 citations) and Molecular Biology (146 citations). Kai Ying has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dan Nettleton, Heng Wang, Nathan M. Springer, Patrick S. Schnable, Jeffrey A. Jeddeloh, Daniel J. Gerhardt, Ruth A. Swanson-Wagner, Todd Richmond, Cheng‐Ting Yeh and Weizhi Wang. Their work appears in journals such as The Plant Journal, Theoretical and Applied Genetics, The Journal of Urology, Kidney International and BMC Bioinformatics.
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.