Kunkai Su
Impact in
Papers in
-
- Nicotinic Acetylcholine Receptors Study 5
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Ming D. Li (10 shared papers)Yunlong Ma (6 shared papers)Wenji Yuan (6 shared papers)Lanjuan Li (11 shared papers)Wenyan Cui (6 shared papers)Yijia Lou (5 shared papers)Zhihong Zhu (1 shared paper)Zhixiang Zhu (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Oncology (2 papers)Amino Acids (2 papers)Translational Psychiatry (2 papers)Frontiers in Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kunkai Su
29 papers receiving 361 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 10
- Hepatology 26
- Genetics 87
- Cancer Research 45
- Behavioral Neuroscience 9
Countries citing papers authored by Kunkai Su
This map shows the geographic impact of Kunkai Su'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 Kunkai Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunkai Su more than expected).
Fields of papers citing papers by Kunkai Su
This network shows the impact of papers produced by Kunkai Su. 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 Kunkai Su. The network helps show where Kunkai Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunkai Su, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 50 | |
| 2 | 2016 | 38 | |
| 3 | 2017 | 32 | |
| 4 | 2014 | 29 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2013 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 6 |
About Kunkai Su
Kunkai Su is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Physiology and Genetics, having authored 29 papers that have together received 366 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Cancer-related molecular mechanisms research (4 papers), Hepatitis B Virus Studies (3 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (10 citations), Hepatology (26 citations), Genetics (87 citations), Cancer Research (45 citations) and Behavioral Neuroscience (9 citations). Kunkai Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming D. Li, Yunlong Ma, Wenji Yuan, Lanjuan Li, Wenyan Cui, Yijia Lou, Zhihong Zhu, Zhixiang Zhu, Thomas J. Payne and Jun Zhu. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Amino Acids, Translational Psychiatry and Frontiers in Psychiatry.
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.