Ada Ma

2.4k citations
23 papers · 898 · h-index 10

Impact in

Papers in

    • Healthcare Policy and Management 6
    • Housing Market and Economics 3
    • Labor market dynamics and wage inequality 3
    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 and COVID-19 Research 4

Ada Ma

21 papers receiving 858 citations

Peers

Ada Ma
Comparison fields: 5 of 100
  • Modeling and Simulation 137
  • Infectious Diseases 412
  • Neurology 159
  • Economics and Econometrics 282
  • General Health Professions 181
Replace Leonardo dos Santos Lourenço Bastos with:
Leonardo dos Santos Lourenço Bastos Brazil
Pengfei Sun China
Ayesha Khan United States
Ariel Karlinsky Israel
Beatrice Formenti Italy
Eduardo Missoni Italy
Zongjiu Zhang China
Ngozi Erondu United Kingdom
Davide Golinelli Italy
Sarah Robinson United States
Ada Ma relative to Leonardo dos Santos Lourenço Bastos Brazil Leonardo dos Santos Lourenço Bastos's profile →
Citations per field
00.5×10×17×
Leonardo dos Santos Lourenço Bastos · 1×
Citations per year

Countries citing papers authored by Ada Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020298
2 2020207
3 2010114
4 200879
5 202051
6 200622
7 201020
8 200820
9
National Evaluation of Payment by Results
200715
10 201111
11 20099
12 20209
13 20077
14 20147
15 20056
16 20066
17 20235
18
Things Can Only get Worse? An Empirical Examination of the Peter Principle
20064
19 20213
20 20113

About Ada Ma

Ada Ma is a scholar working on Economics and Econometrics, Infectious Diseases, General Health Professions, Neurology and Finance, 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), Long-Term Effects of COVID-19 (3 papers), Housing Market and Economics (3 papers), Global Health Care Issues (3 papers), Labor market dynamics and wage inequality (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.

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