Bada Yang

842 total citations · 1 hit paper
23 papers, 409 citations indexed

About

Bada Yang is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty and Epidemiology. According to data from OpenAlex, Bada Yang has authored 23 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Statistics, Probability and Uncertainty and 6 papers in Epidemiology. Recurrent topics in Bada Yang's work include Meta-analysis and systematic reviews (7 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (3 papers). Bada Yang is often cited by papers focused on Meta-analysis and systematic reviews (7 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (3 papers). Bada Yang collaborates with scholars based in Netherlands, United Kingdom and United States. Bada Yang's co-authors include Mariska Leeflang, Yemisi Takwoingi, Clare Davenport, Christopher Hyde, Jonathan J Deeks, Penny Whiting, Susan Mallett, Miranda Langendam, Patrick M. Bossuyt and Reem A. Mustafa and has published in prestigious journals such as Annals of Internal Medicine, Radiology and Cochrane Database of Systematic Reviews.

In The Last Decade

Bada Yang

21 papers receiving 403 citations

Hit Papers

QUADAS-C: A Tool for Assessing Risk of Bias in Comparativ... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies
    2021 196 citations Bada Yang, Susan Mallett et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bada Yang Netherlands 7 91 80 70 56 50 23 409
Ype de Jong Netherlands 11 72 0.8× 21 0.3× 51 0.7× 24 0.4× 50 1.0× 21 363
Giacomo Veronese Italy 15 129 1.4× 33 0.4× 76 1.1× 25 0.4× 166 3.3× 34 647
Ivana Lapić Croatia 11 63 0.7× 24 0.3× 54 0.8× 65 1.2× 46 0.9× 41 389
Piero Cappelletti Italy 11 85 0.9× 115 1.4× 32 0.5× 23 0.4× 60 1.2× 91 552
Adrien Carmona France 11 43 0.5× 66 0.8× 56 0.8× 19 0.3× 73 1.5× 40 283
Jules Grégory France 12 20 0.2× 74 0.9× 93 1.3× 93 1.7× 173 3.5× 44 448
Wim A M Lucassen Netherlands 17 15 0.2× 148 1.9× 132 1.9× 55 1.0× 101 2.0× 50 1.0k
Lizhen Xu China 12 84 0.9× 59 0.7× 50 0.7× 15 0.3× 53 1.1× 37 459
Sibtain Ahmed Pakistan 10 100 1.1× 17 0.2× 54 0.8× 11 0.2× 39 0.8× 80 381
A.H. Zwinderman Netherlands 6 18 0.2× 26 0.3× 145 2.1× 154 2.8× 55 1.1× 8 406

Countries citing papers authored by Bada Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bada Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bada Yang. A scholar is included among the top collaborators of Bada Yang 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 Bada Yang. Bada Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tomlinson, E., Anne WS Rutjes, Clare Davenport, et al.. (2025). Developing a framework for assessing the applicability of the target condition in diagnostic research. Journal of Clinical Epidemiology. 190. 112059–112059. 1 indexed citations
2.
Tomlinson, E., Bada Yang, Clare Davenport, et al.. (2025). Piloting QUADAS-3: a revised tool for the quality assessment of diagnostic accuracy studies. Journal of Clinical Epidemiology. 188. 111983–111983. 2 indexed citations
3.
Yang, Bada, Robin W.M. Vernooij, René Spijker, et al.. (2025). Patients’ Values and Preferences Regarding Pharmacologic Treatments for the Prevention of Episodic Migraine Headache: A Systematic Review for the American College of Physicians. Annals of Internal Medicine. 178(3). 381–388. 2 indexed citations
4.
5.
Damen, Johanna AAG, Bada Yang, Robin W.M. Vernooij, et al.. (2025). Comparative Effectiveness of Pharmacologic Treatments for the Prevention of Episodic Migraine Headache: A Systematic Review and Network Meta-analysis for the American College of Physicians. Annals of Internal Medicine. 178(3). 369–380. 6 indexed citations
6.
Kaul, T. K., Johanna AAG Damen, Ewoud Schuit, et al.. (2024). Methodological quality assessment tools for diagnosis and prognosis research: overview and guidance. Journal of Clinical Epidemiology. 177. 111609–111609. 1 indexed citations
7.
Olbrich, Laura, Alexander Kay, Stephanie Bjerrum, et al.. (2024). Parallel use of low-complexity automated nucleic acid amplification tests on respiratory samples and stool with or without lateral flow lipoarabinomannan assays to detect pulmonary tuberculosis disease in children. Cochrane Database of Systematic Reviews. 2024(5). CD016071–CD016071. 2 indexed citations
8.
Bjerrum, Stephanie, Bada Yang, Ruvandhi R. Nathavitharana, et al.. (2024). Parallel use of low-complexity automated nucleic acid amplification tests and lateral flow urine lipoarabinomannan assays to detect tuberculosis disease in adults and adolescents living with HIV. Cochrane Database of Systematic Reviews. 2024(5). CD016070–CD016070. 2 indexed citations
9.
Frank, Robert, Jean‐Paul Salameh, Nayaar Islam, et al.. (2023). How to Critically Appraise and Interpret Systematic Reviews and Meta-Analyses of Diagnostic Accuracy: A User Guide. Radiology. 307(3). e221437–e221437. 5 indexed citations
10.
Smeden, Maarten van, et al.. (2023). Estimated causal effects of common respiratory infections on cardiovascular risk: a meta-analysis. Open Heart. 10(2). e002501–e002501. 5 indexed citations
11.
Mustafa, Reem A., M. Hassan Murad, Monica Hultcrantz, et al.. (2023). GRADE guidance 37: rating imprecision in a body of evidence on test accuracy. Journal of Clinical Epidemiology. 165. 111189–111189. 4 indexed citations
12.
Yang, Bada, Maria Olsen, Yasaman Vali, et al.. (2021). Study designs for comparative diagnostic test accuracy: A methodological review and classification scheme. Journal of Clinical Epidemiology. 138. 128–138. 31 indexed citations
13.
Yang, Bada, Susan Mallett, Yemisi Takwoingi, et al.. (2021). QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies. Annals of Internal Medicine. 174(11). 1592–1599. 196 indexed citations breakdown →
14.
Yang, Bada, Reem A. Mustafa, Patrick M. Bossuyt, et al.. (2021). GRADE Guidance: 31. Assessing the certainty across a body of evidence for comparative test accuracy. Journal of Clinical Epidemiology. 136. 146–156. 43 indexed citations
15.
Vali, Yasaman, Bada Yang, Maria Olsen, Mariska Leeflang, & Patrick M. Bossuyt. (2020). Reporting of test comparisons in diagnostic accuracy studies: A literature review. Research Synthesis Methods. 12(3). 357–367. 4 indexed citations
16.
Ghannad, Mona, Bada Yang, Mariska Leeflang, et al.. (2020). A randomized trial of an editorial intervention to reduce spin in the abstract’s conclusion of manuscripts showed no significant effect. Journal of Clinical Epidemiology. 130. 69–77. 14 indexed citations
17.
Yang, Bada, Yasaman Vali, Isobel Marion Harris, et al.. (2020). Risk of bias assessment of test comparisons was uncommon in comparative accuracy systematic reviews: an overview of reviews. Journal of Clinical Epidemiology. 127. 167–174. 7 indexed citations
18.
Yang, Bada, Sophia G. de Vries, Ahmed Ahmed, et al.. (2019). Nucleic acid and antigen detection tests for leptospirosis. Cochrane Database of Systematic Reviews. 8. CD011871–CD011871. 15 indexed citations
19.
Takwoingi, Yemisi, Mariska Leeflang, Jonathan J Deeks, et al.. (2018). Development of QUADAS-C, a risk of bias tool for comparative diagnostic accuracy studies. OSF Preprints (OSF Preprints). 5 indexed citations
20.
Yang, Bada, Sophia G. de Vries, Benjamin J Visser, et al.. (2015). Molecular and antigen detection tests for leptospirosis. Cochrane Database of Systematic Reviews. 3 indexed citations

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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