Bada Yang
Impact in
- Health Informatics top 10%
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Tuberculosis Research and Epidemiology 4
- SARS-CoV-2 detection and testing 2
-
- Meta-analysis and systematic reviews 6
- Co-authors
- Mariska Leeflang (14 shared papers)Yemisi Takwoingi (7 shared papers)Clare Davenport (7 shared papers)Christopher Hyde (4 shared papers)Jonathan J Deeks (4 shared papers)Penny Whiting (6 shared papers)Susan Mallett (4 shared papers)Patrick M. Bossuyt (5 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (8 papers)Journal of Clinical Epidemiology (8 papers)Annals of Internal Medicine (3 papers)Open Heart (1 paper)Research Synthesis Methods (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Bada Yang
21 papers receiving 420 citations
Bada Yang's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 11
- Infectious Diseases 73
- Statistics, Probability and Uncertainty 28
- Family Practice 5
- Parasitology 19
Countries citing papers authored by Bada Yang
This map shows the geographic impact of Bada Yang'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 Bada Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bada Yang more than expected).
Fields of papers citing papers by Bada Yang
This network shows the impact of papers produced by Bada Yang. 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 Bada Yang. The network helps show where Bada Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bada Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies Hit paper breakdown → | 2021 | 208 |
| 2 | 2020 | 56 | |
| 3 | 2021 | 44 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2025 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Bada Yang
Bada Yang is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty, Epidemiology, Psychiatry and Mental health and Parasitology, having authored 24 papers that have together received 426 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Tuberculosis Research and Epidemiology (4 papers), SARS-CoV-2 detection and testing (2 papers), Migraine and Headache Studies (2 papers), Leptospirosis research and findings (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Mycobacterium research and diagnosis (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Health Informatics (11 citations), Infectious Diseases (73 citations), Statistics, Probability and Uncertainty (28 citations), Family Practice (5 citations) and Parasitology (19 citations). Bada Yang has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Mariska Leeflang, Yemisi Takwoingi, Clare Davenport, Christopher Hyde, Jonathan J Deeks, Penny Whiting, Susan Mallett, Patrick M. Bossuyt, Miranda Langendam and Yasaman Vali. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, Annals of Internal Medicine, Open Heart and Research Synthesis Methods.
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.