D J Klass

1.8k total citations
48 papers, 1.3k citations indexed

About

D J Klass is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Family Practice. According to data from OpenAlex, D J Klass has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Public Health, Environmental and Occupational Health, 14 papers in General Health Professions and 12 papers in Family Practice. Recurrent topics in D J Klass's work include Innovations in Medical Education (20 papers), Clinical Reasoning and Diagnostic Skills (12 papers) and Medical Malpractice and Liability Issues (8 papers). D J Klass is often cited by papers focused on Innovations in Medical Education (20 papers), Clinical Reasoning and Diagnostic Skills (12 papers) and Medical Malpractice and Liability Issues (8 papers). D J Klass collaborates with scholars based in United States, Canada and Netherlands. D J Klass's co-authors include Robyn Tamblyn, Elizabeth Wenghofer, Murray Kopelow, André F. De Champlain, David Blackmore, Sydney Smee, Michał Abrahamowicz, Dale Dauphinée, Melissa J. Margolis and Nancy Winslade and has published in prestigious journals such as JAMA, Diabetes and Journal of Applied Physiology.

In The Last Decade

D J Klass

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D J Klass United States 20 784 442 356 165 151 48 1.3k
Kelly T. Gleason United States 18 257 0.3× 170 0.4× 343 1.0× 138 0.8× 44 0.3× 77 1.0k
Gary Ferenchick United States 21 478 0.6× 223 0.5× 260 0.7× 105 0.6× 80 0.5× 42 1.3k
Asta Sorensen United States 10 239 0.3× 371 0.8× 173 0.5× 129 0.8× 62 0.4× 20 699
Laura Morrison United States 18 666 0.8× 102 0.2× 415 1.2× 33 0.2× 56 0.4× 42 1.1k
Redonda G. Miller United States 14 231 0.3× 57 0.1× 223 0.6× 30 0.2× 59 0.4× 29 843
Emily R. Cox Australia 20 171 0.2× 190 0.4× 183 0.5× 12 0.1× 131 0.9× 56 1.5k
Jesia G. Berry Australia 19 151 0.2× 30 0.1× 225 0.6× 29 0.2× 39 0.3× 33 1.0k
Ivonne Solis‐Trapala United Kingdom 18 458 0.6× 35 0.1× 393 1.1× 36 0.2× 96 0.6× 55 1.3k
Nabil Sulaiman United Arab Emirates 22 232 0.3× 42 0.1× 285 0.8× 11 0.1× 304 2.0× 81 1.3k
Mesfin Kassaye Tessma Sweden 15 150 0.2× 60 0.1× 111 0.3× 26 0.2× 121 0.8× 25 577

Countries citing papers authored by D J Klass

Since Specialization
Citations

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

Fields of papers citing papers by D J Klass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D J Klass. 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 D J Klass. The network helps show where D J Klass may publish in the future.

Co-authorship network of co-authors of D J Klass

This figure shows the co-authorship network connecting the top 25 collaborators of D J Klass. A scholar is included among the top collaborators of D J Klass 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 D J Klass. D J Klass 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.
Wenghofer, Elizabeth, D J Klass, Michał Abrahamowicz, et al.. (2009). Doctor scores on national qualifying examinations predict quality of care in future practice. Medical Education. 43(12). 1166–1173. 107 indexed citations
2.
Norman, Geoffrey R., Elizabeth Wenghofer, & D J Klass. (2008). Predicting doctor performance outcomes of curriculum interventions: problem‐based learning and continuing competence. Medical Education. 42(8). 794–799. 30 indexed citations
3.
Klass, D J. (2007). Viewpoint: A Performance-Based Conception of Competence is Changing the Regulation of Physicians?? Professional Behavior. Academic Medicine. 82(6). 529–535. 34 indexed citations
4.
Pangaro, Louis N., et al.. (2005). Use of "Standardized Examinees" to Screen for Standardized-Patient Scoring Bias in a Clinical Skills Examination. Teaching and Learning in Medicine. 17(1). 9–13. 5 indexed citations
5.
Handfield-Jones, Richard, Karen Mann, Sjoerd Hobma, et al.. (2002). Linking assessment to learning: a new route to quality assurance in medical practice. Medical Education. 36(10). 949–958. 55 indexed citations
6.
Melnick, Donald E., David A. Asch, David Blackmore, D J Klass, & John J. Norcini. (2002). Conceptual challenges in tailoring physician performance assessment to individual practice. Medical Education. 36(10). 931–935. 18 indexed citations
7.
Champlain, André F. De, et al.. (2000). Assessing Post-encounter Note Documentation by Examinees in a Field Test of a Nationally Administered Standardized Patient Test. Academic Medicine. 75(Supplement). S112–S114. 12 indexed citations
8.
Champlain, André F. De, et al.. (2000). Modeling the Effects of a Test Security Breach on a Large-scale Standardized Patient Examination with a Sample of International Medical Graduates. Academic Medicine. 75(Supplement). S109–S111. 10 indexed citations
9.
Champlain, André F. De, et al.. (1999). Modeling the effects of security breaches on studentsʼ performances on a large-scale standardized patient examination. Academic Medicine. 74(10). S49–51. 16 indexed citations
11.
Clauser, Brian E., et al.. (1998). THE CONTINUED STUDY OF STANDARDIZED PATIENTS. Academic Medicine. 73(10). S78–80. 8 indexed citations
12.
Margolis, Melissa J., André F. De Champlain, & D J Klass. (1998). SETTING STANDARDS FOR PERFORMANCE ASSESSMENT. Academic Medicine. 73(10). S114–116. 23 indexed citations
13.
Champlain, André F. De & D J Klass. (1997). Assessing the factor structure of a nationally administered standardized patient examination. Academic Medicine. 72(Supplement 1). S88–S90. 9 indexed citations
14.
Clauser, Brian E., et al.. (1996). An expert-judgment approach to setting standards for a standardized-patient examination. Academic Medicine. 71(10). S4–6. 19 indexed citations
15.
Clauser, Brian E., et al.. (1993). A comparison of pass/fail classifications made with scores from the NBME standardized-patient examination and Part II examination. Academic Medicine. 68(10). S7–9. 17 indexed citations
16.
Kopelow, Murray, et al.. (1992). Assessing practicing physicians in two settings using standardized patients. Academic Medicine. 67(10). S19–21. 36 indexed citations
17.
Tamblyn, Robyn, et al.. (1991). Sources of unreliability and bias in standardized‐patient rating. Teaching and Learning in Medicine. 3(2). 74–85. 58 indexed citations
18.
Tamblyn, Robyn, et al.. (1991). The accuracy of standardized patient presentation. Medical Education. 25(2). 100–109. 87 indexed citations
19.
O’Neill, Shane, et al.. (1984). Rat Lung Lavage Surfactant Enhances Bacterial Phagocytosis and Intracellular Killing by Alveolar Macrophages. American Review of Respiratory Disease. 130(2). 225–230. 53 indexed citations
20.
Klass, D J. (1973). Immunochemical studies of the protein fraction of pulmonary surface active material.. PubMed. 107(5). 784–9. 19 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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