Ayan Mao
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Economics and Econometrics top 5%
- COVID-19 Pandemic Impacts
- Economic and Financial Impacts of Cancer
- Health Systems, Economic Evaluations, Quality of Life
Papers in
-
- Economic and Financial Impacts of Cancer 12
- Health Systems, Economic Evaluations, Quality of Life 5
- COVID-19 Pandemic Impacts 2
- Oncology 12
- Global Cancer Incidence and Screening 12
- Co-authors
- Wuqi Qiu (20 shared papers)Shannon Rutherford (2 shared papers)Chishih Chu (1 shared paper)Cordia Ming-Yeuk Chu (4 shared papers)Katie Bristow (1 shared paper)Jude Robinson (1 shared paper)Ju-Fang Shi (5 shared papers)Huiyao Huang (7 shared papers)
- Journals
- Frontiers in Public Health (4 papers)The Lancet (3 papers)癌症：英文版 (2 papers)Health Education Research (2 papers)Carbohydrate Polymers (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ayan Mao
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Modeling and Simulation 79
- Economics and Econometrics 247
- Oncology 129
- Finance 35
- Health 26
Countries citing papers authored by Ayan Mao
This map shows the geographic impact of Ayan 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 Ayan Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayan Mao more than expected).
Fields of papers citing papers by Ayan Mao
This network shows the impact of papers produced by Ayan 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 Ayan Mao. The network helps show where Ayan Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayan 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
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2018 | 150 | |
| 3 | 2017 | 82 | |
| 4 | 2016 | 62 | |
| 5 | 2018 | 58 | |
| 6 | 2021 | 51 | |
| 7 | 2017 | 50 | |
| 8 | 2012 | 46 | |
| 9 | 2017 | 32 | |
| 10 | 2016 | 31 | |
| 11 | 2018 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2019 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2024 | 21 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 13 | |
| 20 | 2009 | 12 |
About Ayan Mao
Ayan Mao is a scholar working on Economics and Econometrics, Oncology, Finance, Modeling and Simulation and General Health Professions, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (12 papers), Economic and Financial Impacts of Cancer (12 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Nutrition, Genetics, and Disease (4 papers), Healthcare Systems and Reforms (4 papers), COVID-19 epidemiological studies (3 papers), Cervical Cancer and HPV Research (3 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Economics and Econometrics (247 citations), Oncology (129 citations), Finance (35 citations) and Health (26 citations). Ayan Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wuqi Qiu, Shannon Rutherford, Chishih Chu, Cordia Ming-Yeuk Chu, Katie Bristow, Jude Robinson, Ju-Fang Shi, Huiyao Huang, Yujie Yang and Min Dai. Their work appears in journals such as Frontiers in Public Health, The Lancet, 癌症：英文版, Health Education Research and Carbohydrate Polymers.
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.