Ting Dong

723 total citations
27 papers, 492 citations indexed

About

Ting Dong is a scholar working on Public Health, Environmental and Occupational Health, Gender Studies and Family Practice. According to data from OpenAlex, Ting Dong has authored 27 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 9 papers in Gender Studies and 4 papers in Family Practice. Recurrent topics in Ting Dong's work include Innovations in Medical Education (15 papers), Diversity and Career in Medicine (9 papers) and Medical Education and Admissions (9 papers). Ting Dong is often cited by papers focused on Innovations in Medical Education (15 papers), Diversity and Career in Medicine (9 papers) and Medical Education and Admissions (9 papers). Ting Dong collaborates with scholars based in United States, Netherlands and Australia. Ting Dong's co-authors include Anthony R. Artino, Steven J. Durning, David F. Cruess, Kent J. DeZee, William R. Gilliland, Donna Waechter, Timothy J. Cleary, Paul A. Hemmer, Aaron Saguil and Lauren A. Maggio and has published in prestigious journals such as PLoS ONE, Academic Medicine and Medical Education.

In The Last Decade

Ting Dong

26 papers receiving 471 citations

Peers

Ting Dong

PHEOH

EDUCA

DEP

D C Lynch United States

Emma Bartle Australia

Iman Hegazi Australia

Karen M. Stegers‐Jager Netherlands

Anna Ryan Australia

Denise Kay United States

Agnes E. Dodds Australia

Erin D. Snyder United States

Denise Stockley Canada

Azim Mirzazadeh Iran

D C Lynch United States

Ting Dong

282 ×1.0

PHEOH

64 ×0.6

EDUCA

134 ×1.4

DEP

90 ×1.0

58 ×0.8

Citations per year, relative to Ting Dong Ting Dong (= 1×) peers D C Lynch

Countries citing papers authored by Ting Dong

Since Specialization

Citations

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

Fields of papers citing papers by Ting Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Dong. A scholar is included among the top collaborators of Ting Dong 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 Ting Dong. Ting Dong 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

Dong, Ting, et al.. (2025). Examining the Relationship Between Pediatric Clerkship Timing and Performance: COVID-19 Pandemic and Beyond. Medical Science Educator. 35(3). 1503–1511.

Landoll, Ryan R., Krista B. Highland, Anthony R. Artino, et al.. (2023). Breaking Down Grit: Persistency and Flexibility in the Career Plans of Military Medical Students. Military Medicine. 188(Supplement_2). 43–49. 1 indexed citations

He, Tao & Ting Dong. (2023). Research on the Application of Red Music in the Construction of Curriculum Civics Based on the Knowledge Dissemination Model. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

Maggio, Lauren A., Ting Dong, Erik W. Driessen, & Anthony R. Artino. (2019). Factors associated with scientific misconduct and questionable research practices in health professions education. Perspectives on Medical Education. 8(2). 74–82. 35 indexed citations

Dong, Ting, Jeffrey LaRochelle, Steven J. Durning, et al.. (2015). Longitudinal Effects of Medical Students' Communication Skills on Future Performance. Military Medicine. 180(suppl_4). 24–30. 27 indexed citations

Dong, Ting, Kimberly A. Swygert, Steven J. Durning, et al.. (2014). Is Poor Performance on NBME Clinical Subject Examinations Associated With a Failing Score on the USMLE Step 3 Examination?. Academic Medicine. 89(5). 762–766. 13 indexed citations

DeZee, Kent J., Charles D. Magee, Gretchen Rickards, et al.. (2014). What Aspects of Letters of Recommendation Predict Performance in Medical School? Findings From One Institution. Academic Medicine. 89(10). 1408–1415. 15 indexed citations

Artino, Anthony R., Timothy J. Cleary, Ting Dong, Paul A. Hemmer, & Steven J. Durning. (2014). Exploring clinical reasoning in novices: a self‐regulated learning microanalytic assessment approach. Medical Education. 48(3). 280–291. 72 indexed citations

Cleary, Timothy J., Ting Dong, & Anthony R. Artino. (2014). Examining shifts in medical students’ microanalytic motivation beliefs and regulatory processes during a diagnostic reasoning task. Advances in Health Sciences Education. 20(3). 611–626. 20 indexed citations

10.

Dong, Ting, Anthony R. Artino, William R. Gilliland, et al.. (2013). Application Essays and Future Performance in Medical School: Are They Related?. Teaching and Learning in Medicine. 25(1). 55–58. 8 indexed citations

11.

Artino, Anthony R., Ting Dong, Kent J. DeZee, et al.. (2012). Achievement Goal Structures and Self-Regulated Learning. Academic Medicine. 87(10). 1375–1381. 85 indexed citations

12.

Dong, Ting, Anthony R. Artino, Steven J. Durning, et al.. (2012). Alternate List Matriculants: Outcome Data From Those Medical Students Admitted From the Alternate List. Military Medicine. 177(9S). 7–10. 3 indexed citations

13.

Durning, Steven J., Ting Dong, Anthony R. Artino, et al.. (2012). Instructional Authenticity and Clinical Reasoning in Undergraduate Medical Education: A 2-Year, Prospective, Randomized Trial. Military Medicine. 177(9S). 38–43. 14 indexed citations

14.

Dong, Ting, Steven J. Durning, William R. Gilliland, et al.. (2012). Leadership Success and the Uniformed Services University: Perspectives of Flag Officer Alumni. Military Medicine. 177(9S). 61–67. 5 indexed citations

15.

Artino, Anthony R., Ting Dong, Kent J. DeZee, et al.. (2012). Development and Initial Validation of a Survey to Assess Students' Self-Efficacy in Medical School. Military Medicine. 177(9S). 31–37. 31 indexed citations

16.

Gilliland, William R., Ting Dong, Anthony R. Artino, et al.. (2012). Relationship Between Admissions Committee Review and Student Performance in Medical School and Internship. Military Medicine. 177(9S). 21–25. 8 indexed citations

17.

Durning, Steven J., Anthony R. Artino, Ting Dong, et al.. (2012). The Long-Term Career Outcome Study (LTCOS): What Have We Learned From 40 Years of Military Medical Education and Where Should We Go?. Military Medicine. 177(9S). 81–86. 4 indexed citations

18.

Durning, Steven J., Anthony R. Artino, Ting Dong, et al.. (2012). 40 Years of Military Medical Education: An Overview of the Long-Term Career Outcome Study (LTCOS). Military Medicine. 177(9S). 3–6. 8 indexed citations

19.

DeZee, Kent J., Steven J. Durning, Ting Dong, et al.. (2012). Where are They Now? USU School of Medicine Graduates After Their Military Obligation is Complete. Military Medicine. 177(9S). 68–71. 11 indexed citations

20.

Reznitskaya, Alina, et al.. (2008). Learning to think well: Application of argument schema theory to literacy instruction. Opus: Research & Creativity (Indiana University – Purdue University Fort Wayne). 12 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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