Koonal Shah
- Economics and Econometrics top 0.5%
- General Health Professions top 1%
- Sociology and Political Science top 5%
- Public Health, Environmental and Occupational Health top 10%
- Surgery
- Co-authors
- Nancy DevlinBrendan MulhernBen van HoutYan FengJuan Manuel Ramos-GoñiMark OppeAki TsuchiyaAllan Wailoo
- Topics
- Health Systems, Economic Evaluations, Quality of Life (78 papers)Economic and Environmental Valuation (32 papers)Healthcare Policy and Management (27 papers)
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
Koonal Shah
83 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Economics and Econometrics 1.9k
- General Health Professions 971
- Sociology and Political Science 288
- Public Health, Environmental and Occupational Health 228
- Surgery 187
Countries citing papers authored by Koonal Shah
This map shows the geographic impact of Koonal Shah'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 Koonal Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koonal Shah more than expected).
Fields of papers citing papers by Koonal Shah
This network shows the impact of papers produced by Koonal Shah. 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 Koonal Shah. The network helps show where Koonal Shah may publish in the future.
Co-authorship network of co-authors of Koonal Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Koonal Shah. A scholar is included among the top collaborators of Koonal Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koonal Shah. Koonal Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 31 | |
| 7 | 19 | |
| 8 | 6 | |
| 9 | 47 | |
| 10 | 8 | |
| 11 | Public Preferences for Health Gains and Cures: A Discrete Choice Experiment | 3 |
| 12 | 82 | |
| 13 | 92 | |
| 14 | 1 | |
| 15 | Age and Utilities: Issues for HTA | 1 |
| 16 | 31 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 22 | |
| 20 | 64 |
About Koonal Shah
Koonal Shah is a scholar working on Economics and Econometrics, General Health Professions and General Decision Sciences, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (78 papers), Economic and Environmental Valuation (32 papers) and Healthcare Policy and Management (27 papers). The work is most often cited by research in Economics and Econometrics (1.9k citations), General Health Professions (971 citations) and General Decision Sciences (55 citations). Koonal Shah has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Nancy Devlin, Brendan Mulhern, Ben van Hout, Yan Feng, Juan Manuel Ramos-Goñi, Mark Oppe, Aki Tsuchiya, Allan Wailoo, Kim Rand and Nan Luo. Their work appears in journals such as PLoS ONE, Social Science & Medicine and Medical Care.
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.