Kun Gao
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Antioxidant Activity and Oxidative Stress
- Nutrition and Dietetics top 5%
- Nuts composition and effects
Papers in ⓘ
- Co-authors
- Susanne M. Henning (8 shared papers)Luyi Li (5 shared papers)David Heber (4 shared papers)Alona Zerlin (4 shared papers)Gail Thames (4 shared papers)Daniel H. Geschwind (4 shared papers)Navindra P. Seeram (2 shared papers)David Heber (2 shared papers)
- Journals
- American Journal of Clinical Nutrition (2 papers)Annals of Surgical Oncology (2 papers)Nature Communications (1 paper)Journal of the American College of Nutrition (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Kun Gao
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Biochemistry 205
- Nutrition and Dietetics 210
- Applied Microbiology and Biotechnology 17
- Obstetrics and Gynecology 56
- Cancer Research 95
Countries citing papers authored by Kun Gao
This map shows the geographic impact of Kun Gao'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 Kun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Gao more than expected).
Fields of papers citing papers by Kun Gao
This network shows the impact of papers produced by Kun Gao. 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 Kun Gao. The network helps show where Kun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Gao, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 143 | |
| 2 | 2009 | 112 | |
| 3 | 2013 | 111 | |
| 4 | 2010 | 110 | |
| 5 | 2010 | 70 | |
| 6 | 2017 | 68 | |
| 7 | 2010 | 67 | |
| 8 | 2008 | 66 | |
| 9 | 2011 | 65 | |
| 10 | 2012 | 50 | |
| 11 | 2015 | 39 | |
| 12 | 2016 | 36 | |
| 13 | 2022 | 35 | |
| 14 | 2011 | 25 | |
| 15 | 2022 | 21 | |
| 16 | 2019 | 17 | |
| 17 | 2015 | 15 | |
| 18 | 2009 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2024 | 8 |
About Kun Gao
Kun Gao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Cervical Cancer and HPV Research (3 papers), Immune Cell Function and Interaction (2 papers), Tea Polyphenols and Effects (2 papers), Phytoestrogen effects and research (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Biochemistry (205 citations), Nutrition and Dietetics (210 citations), Applied Microbiology and Biotechnology (17 citations), Obstetrics and Gynecology (56 citations) and Cancer Research (95 citations). Kun Gao has collaborated with scholars based in China, United States and India. Frequent co-authors include Susanne M. Henning, Luyi Li, David Heber, Alona Zerlin, Gail Thames, Daniel H. Geschwind, Navindra P. Seeram, David Heber, Liutao Du and Zhaoping Li. Their work appears in journals such as American Journal of Clinical Nutrition, Annals of Surgical Oncology, Nature Communications, Journal of the American College of Nutrition and Clinical Breast Cancer.
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.