Ada Ma
- Modeling and Simulation top 2%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 4
- Neurology top 10%
- Economics and Econometrics top 5%
- Healthcare Policy and Management 6
- Labor market dynamics and wage inequality 3
- Housing Market and Economics 3
- General Health Professions top 10%
- Global Health Care Issues 3
- Primary Care and Health Outcomes 3
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- Housing, Finance, and Neoliberalism 3
- Co-authors
- Matt SuttonGuoqing QianNaibin YangHugh GravelleGuoxiang LiLiping WangEuan PhimisterHarminder Battu
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Ada Ma
21 papers receiving 858 citations
Peers
Comparison fields: 5 of 100
- Modeling and Simulation 137
- Infectious Diseases 412
- Neurology 159
- Economics and Econometrics 282
- General Health Professions 181
Countries citing papers authored by Ada Ma
This map shows the geographic impact of Ada Ma'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 Ada Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ada Ma more than expected).
Fields of papers citing papers by Ada Ma
This network shows the impact of papers produced by Ada Ma. 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 Ada Ma. The network helps show where Ada Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ada Ma, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 0 | |
| 6 | 2020 | 298 | |
| 7 | 2020 | 207 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 51 | |
| 10 | 2014 | 7 | |
| 11 | 2011 | 11 | |
| 12 | 2010 | 20 | |
| 13 | 2010 | 114 | |
| 14 | 2009 | 9 | |
| 15 | 2008 | 79 | |
| 16 | 2008 | 20 | |
| 17 | National Evaluation of Payment by Results | 2007 | 15 |
| 18 | 2007 | 7 | |
| 19 | Things Can Only get Worse? An Empirical Examination of the Peter Principle | 2006 | 4 |
| 20 | 2006 | 22 |
About Ada Ma
Ada Ma is a scholar working on Economics and Econometrics, Modeling and Simulation, Infectious Diseases, Finance and General Health Professions, having authored 23 papers that have together received 898 indexed citations. Recurring topics across this work include Healthcare Policy and Management (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Labor market dynamics and wage inequality (3 papers), Global Health Care Issues (3 papers), Housing, Finance, and Neoliberalism (3 papers), Housing Market and Economics (3 papers) and Primary Care and Health Outcomes (3 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Infectious Diseases (412 citations), Neurology (159 citations), Economics and Econometrics (282 citations) and General Health Professions (181 citations). Ada Ma has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Matt Sutton, Guoqing Qian, Naibin Yang, Hugh Gravelle, Guoxiang Li, Liping Wang, Euan Phimister, Harminder Battu, Xueqin Chen and Xiaohong Chen. Their work appears in journals such as Health Economics, Regional Studies, The Economic Journal, Clinical Infectious Diseases and Labour Economics.
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.