Mei‐Chiung Shih
- Clinical Psychology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Donald A. GoldmannThomas J. SandoraLydia A. ShrierTze Leung LaiJosé Martı́nez-RagaÁlvaro Pascual‐LeoneJoan A. CamprodonMiguel Alonso‐Alonso
- Topics
- Statistical Methods in Clinical Trials (14 papers)Health Systems, Economic Evaluations, Quality of Life (6 papers)Advanced Causal Inference Techniques (4 papers)
- Partner nations
- United StatesHong KongTunisia
In The Last Decade
Mei‐Chiung Shih
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 153
- Clinical Psychology 386
- Public Health, Environmental and Occupational Health 329
- Epidemiology 327
- Pulmonary and Respiratory Medicine 248
- Cardiology and Cardiovascular Medicine 223
Countries citing papers authored by Mei‐Chiung Shih
This map shows the geographic impact of Mei‐Chiung Shih'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 Mei‐Chiung Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chiung Shih more than expected).
Fields of papers citing papers by Mei‐Chiung Shih
This network shows the impact of papers produced by Mei‐Chiung Shih. 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 Mei‐Chiung Shih. The network helps show where Mei‐Chiung Shih may publish in the future.
Co-authorship network of co-authors of Mei‐Chiung Shih
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chiung Shih. A scholar is included among the top collaborators of Mei‐Chiung Shih 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 Mei‐Chiung Shih. Mei‐Chiung Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 171 | |
| 9 | 56 | |
| 10 | 29 | |
| 11 | 170 | |
| 12 | 20 | |
| 13 | 18 | |
| 14 | 99 | |
| 15 | 180 | |
| 16 | 43 | |
| 17 | 62 | |
| 18 | 22 | |
| 19 | 35 | |
| 20 | 28 |
About Mei‐Chiung Shih
Mei‐Chiung Shih is a scholar working on Statistics and Probability, Infectious Diseases and Emergency Medical Services, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (14 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Internal Medicine (76 citations), Emergency Medical Services (134 citations) and Clinical Psychology (386 citations). Mei‐Chiung Shih has collaborated with scholars based in United States, Hong Kong and Tunisia. Frequent co-authors include Donald A. Goldmann, Thomas J. Sandora, Lydia A. Shrier, Tze Leung Lai, José Martı́nez-Raga, Álvaro Pascual‐Leone, Joan A. Camprodon, Miguel Alonso‐Alonso, Philip W. Lavori and Elsie M. Taveras. Their work appears in journals such as New England Journal of Medicine, Circulation and PLoS ONE.
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.