Tony Tse

8.3k total citations · 1 hit paper
56 papers, 3.2k citations indexed

About

Tony Tse is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tony Tse has authored 56 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 20 papers in Public Health, Environmental and Occupational Health and 19 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tony Tse's work include Meta-analysis and systematic reviews (19 papers), Health Literacy and Information Accessibility (16 papers) and Biomedical Text Mining and Ontologies (14 papers). Tony Tse is often cited by papers focused on Meta-analysis and systematic reviews (19 papers), Health Literacy and Information Accessibility (16 papers) and Biomedical Text Mining and Ontologies (14 papers). Tony Tse collaborates with scholars based in United States and China. Tony Tse's co-authors include Deborah A. Zarin, Rebecca J. Williams, Nicholas C. Ide, Robert M. Califf, Qiang Zeng, Kevin M. Fain, Sarah Carr, Rebecca Williams, Joseph S. Ross and Lixin Zhou and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

Tony Tse

56 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

The ClinicalTrials.gov Results Database — Update and Key Issues

2011 547 citations Deborah A. Zarin, Tony Tse et al. New England Journal of Medicine profile →

Peers

Tony Tse

PHEOH

SPU

EE

GHP

MB

Ida Sim United States

Deborah A. Zarin United States

Ben Goldacre United Kingdom

Elizabeth Wager United Kingdom

Joshua D. Wallach United States

Rachael Fleurence United States

Shirley Wang United States

Abraham G. Hartzema United States

Suzanne W. Fletcher United States

Nicholas C. Ide United States

Ida Sim United States

Tony Tse

917 ×0.8

PHEOH

595 ×0.5

SPU

462 ×0.5

EE

963 ×1.8

GHP

1.0k ×2.0

MB

Citations per year, relative to Tony Tse Tony Tse (= 1×) peers Ida Sim

Countries citing papers authored by Tony Tse

Since Specialization

Citations

This map shows the geographic impact of Tony Tse'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 Tony Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Tse more than expected).

Fields of papers citing papers by Tony Tse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony Tse. 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 Tony Tse. The network helps show where Tony Tse may publish in the future.

Co-authorship network of co-authors of Tony Tse

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gelinas, Luke, et al.. (2023). Characterization of key information sections in informed consent forms posted on ClinicalTrials.gov. Journal of Clinical and Translational Science. 7(1). e185–e185. 3 indexed citations

2.

Tse, Tony, et al.. (2023). Comparison of Availability of Trial Results in ClinicalTrials.gov and PubMed by Data Source and Funder Type. JAMA. 329(16). 1404–1404. 13 indexed citations

3.

Tse, Tony, David S. Loose, Gisele Sarosy, et al.. (2022). Approach for reporting master protocol study designs on ClinicalTrials.gov: qualitative analysis. BMJ. 377. e067745–e067745. 3 indexed citations

4.

Fain, Kevin M., et al.. (2020). Race and ethnicity reporting for clinical trials in ClinicalTrials.gov and publications. Contemporary Clinical Trials. 101. 106237–106237. 40 indexed citations

5.

Tse, Tony, Kevin M. Fain, & Deborah A. Zarin. (2018). How to avoid common problems when using ClinicalTrials.gov in research: 10 issues to consider. BMJ. 361. k1452–k1452. 130 indexed citations

6.

Tse, Tony, et al.. (2018). Trialists’ Intent to Share Individual Participant Data as Disclosed at ClinicalTrials.gov. JAMA. 319(4). 406–406. 18 indexed citations

7.

Zarin, Deborah A., Tony Tse, Rebecca J. Williams, & R Thiyagu. (2017). Update on Trial Registration 11 Years after the ICMJE Policy Was Established. New England Journal of Medicine. 376(4). 383–391. 161 indexed citations

8.

Zarin, Deborah A. & Tony Tse. (2016). Sharing Individual Participant Data (IPD) within the Context of the Trial Reporting System (TRS). PLoS Medicine. 13(1). e1001946–e1001946. 33 indexed citations

9.

Zarin, Deborah A., Tony Tse, Rebecca J. Williams, & Sarah Carr. (2016). Trial Reporting in ClinicalTrials.gov — The Final Rule. New England Journal of Medicine. 375(20). 1998–2004. 212 indexed citations

10.

Bourgeois, Florence T., Karen L. Olson, Tony Tse, John P. A. Ioannidis, & Kenneth D. Mandl. (2016). Prevalence and Characteristics of Interventional Trials Conducted Exclusively in Elderly Persons: A Cross-Sectional Analysis of Registered Clinical Trials. PLoS ONE. 11(5). e0155948–e0155948. 22 indexed citations

11.

Williams, Rebecca J., et al.. (2015). Terminated Trials in the ClinicalTrials.gov Results Database: Evaluation of Availability of Primary Outcome Data and Reasons for Termination. PLoS ONE. 10(5). e0127242–e0127242. 146 indexed citations

12.

Zarin, Deborah A., et al.. (2014). The Proposed Rule for U.S. Clinical Trial Registration and Results Submission. New England Journal of Medicine. 372(2). 174–180. 77 indexed citations

13.

Ross, Joseph S., Tony Tse, Deborah A. Zarin, et al.. (2012). Publication of NIH funded trials registered in ClinicalTrials.gov: cross sectional analysis. BMJ. 344(jan03 1). d7292–d7292. 265 indexed citations

14.

Tse, Tony, Rebecca Williams, & Deborah A. Zarin. (2009). Reporting “Basic Results” in ClinicalTrials.gov. CHEST Journal. 136(1). 295–303. 89 indexed citations

15.

Tse, Tony, Rebecca Williams, & Deborah A. Zarin. (2009). Update on Registration of Clinical Trials in ClinicalTrials.gov. CHEST Journal. 136(1). 304–305. 27 indexed citations

16.

Zarin, Deborah A. & Tony Tse. (2008). Moving Toward Transparency of Clinical Trials. Science. 319(5868). 1340–1342. 123 indexed citations

17.

Zeng, Qing, Tony Tse, Guy Divita, et al.. (2007). Term Identification Methods for Consumer Health Vocabulary Development. Journal of Medical Internet Research. 9(1). e4–e4. 52 indexed citations

18.

Zarin, Deborah A., Nicholas C. Ide, Tony Tse, et al.. (2007). Issues in the Registration of Clinical Trials. JAMA. 297(19). 2112–2112. 159 indexed citations

19.

Zarin, Deborah A., Tony Tse, & Nicholas C. Ide. (2005). Trial Registration at ClinicalTrials.gov between May and October 2005. New England Journal of Medicine. 353(26). 2779–2787. 209 indexed citations

20.

Tse, Tony, et al.. (2000). Developing Web Browser Recording Tools Using Server-Side Programming Technology. World Conference on WWW and Internet. 2000(1). 372–377. 1 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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