Kai Mao
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
- Aging 4
-
- Cancer, Lipids, and Metabolism 6
- Breast Cancer Treatment Studies 6
- Co-authors
- Daniel J. KlionskyKe WangXu LiuPaul A. VoldenSatoru KobayashiQiangrong LiangXianmin XuDerek Timm
- Journals
- Autophagy (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)International Journal of Surgery (3 papers)GeroScience (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Mao
82 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 129
- Aging 137
- Physiology 159
- Epidemiology 1.0k
- Cell Biology 453
- Cancer Research 374
Countries citing papers authored by Kai Mao
This map shows the geographic impact of Kai Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Mao more than expected).
Fields of papers citing papers by Kai Mao
This network shows the impact of papers produced by Kai Mao. 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 Mao. The network helps show where Kai Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Mao, 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 | 2024 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 51 | |
| 13 | 2015 | 31 | |
| 14 | 2015 | 55 | |
| 15 | 2014 | 63 | |
| 16 | 2011 | 29 | |
| 17 | Pest status and control options for termites (Isoptera) in the Luhya Community of Western Kenya. | 2010 | 4 |
| 18 | Assessment of Genetic Diversity of Native Bermudagrass Accessions Collected in Panxi Region,Sichuan Province | 2004 | 0 |
| 19 | Soil substrate effects on cold resistance of Emei Eremochloa ophiuroides | 2004 | 2 |
| 20 | Studies on centipedegrass | 2000 | 1 |
About Kai Mao
Kai Mao is a scholar working on Aging, Cancer Research, Hepatology, Physiology and Oncology, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Cancer, Lipids, and Metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), RNA modifications and cancer (6 papers), Mitochondrial Function and Pathology (6 papers) and Breast Cancer Treatment Studies (6 papers). The work is most often cited by research in Aging (137 citations), Physiology (159 citations), Epidemiology (1.0k citations), Cell Biology (453 citations) and Cancer Research (374 citations). Kai Mao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daniel J. Klionsky, Ke Wang, Xu Liu, Paul A. Volden, Satoru Kobayashi, Qiangrong Liang, Xianmin Xu, Derek Timm, Zhiyu Xiao and Jieqiong Liu. Their work appears in journals such as Autophagy, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, International Journal of Surgery and GeroScience.
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.