Ayan Mao

1.6k citations
31 papers · 581 · h-index 11

Impact in

Papers in

Ayan Mao

27 papers receiving 553 citations

Peers

Ayan Mao
Comparison fields: 5 of 112
  • Modeling and Simulation 91
  • Economics and Econometrics 195
  • Health 40
  • Clinical Psychology 75
  • Infectious Diseases 64
Replace Azam Raoofi with:
Azam Raoofi Iran
Kamran Abbasi United Kingdom
André Peralta‐Santos Portugal
Wuqi Qiu China
Naeem Ahmed United Kingdom
Eduardo Missoni Italy
Seyed Fahim Irandoost Iran
Dahai Zhao China
Eline van den Broek‐Altenburg United States
Jason Abaluck United States
Ayan Mao relative to Azam Raoofi Iran Azam Raoofi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ayan Mao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ayan Mao Line = papers co-authored together Ayan Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017167
2 2018137
3 201653
4 201247
5 201626
6 201722
7 201617
8 202315
9 202415
10 201411
11 200910
12 20238
13
[Acceptance and willingness-to-pay for colorectal colonoscopy screening among high-risk populations for colorectal cancer in urban China].
20157
14 20226
15 20185
16 20205
17 20244
18 20244
19 20204
20 20204

About Ayan Mao

Ayan Mao is a scholar working on Economics and Econometrics, General Health Professions, Epidemiology, Modeling and Simulation and Infectious Diseases, having authored 31 papers that have together received 581 indexed citations. Recurring topics across this work include Economic and Financial Impacts of Cancer (6 papers), Global Health Care Issues (6 papers), COVID-19 epidemiological studies (6 papers), Healthcare Systems and Reforms (5 papers), COVID-19 Pandemic Impacts (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Global Cancer Incidence and Screening (4 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Economics and Econometrics (195 citations), Health (40 citations), Clinical Psychology (75 citations) and Infectious Diseases (64 citations). Ayan Mao has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Wuqi Qiu, Shannon Rutherford, Chishih Chu, Cordia Chu, Katie Bristow, Jude Robinson, Jufang Shi, Huiyao Huang, Min Dai and Xianzhen Liao. Their work appears in journals such as Frontiers in Public Health, Health Education Research, The Lancet, Journal of Environmental and Public Health and Journal of Evidence-Based Medicine.

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.

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