John J. Donovan

4.1k total citations · 1 hit paper
38 papers, 2.7k citations indexed

About

John J. Donovan is a scholar working on Social Psychology, Surgery and Experimental and Cognitive Psychology. According to data from OpenAlex, John J. Donovan has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Social Psychology, 7 papers in Surgery and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in John J. Donovan's work include Motivation and Self-Concept in Sports (8 papers), Liver Disease and Transplantation (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). John J. Donovan is often cited by papers focused on Motivation and Self-Concept in Sports (8 papers), Liver Disease and Transplantation (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). John J. Donovan collaborates with scholars based in United States, Netherlands and Canada. John J. Donovan's co-authors include Gregory M. Hurtz, David J. Radosevich, Stephen A. Dwight, Kevin J. Williams, Dan Schneider, Tonya Dodge, John A. Goss, Judy Melinek, Jeffrey Kahn and Milan Kinkhabwala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Annals of Surgery.

In The Last Decade

John J. Donovan

37 papers receiving 2.5k citations

Hit Papers

Personality and job performance: The Big Five revisited. 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Donovan United States 17 949 859 804 468 426 38 2.7k
David Weiss United States 25 1.4k 1.4× 571 0.7× 1.3k 1.7× 699 1.5× 488 1.1× 79 4.6k
Marcel A. Croon Netherlands 30 823 0.9× 828 1.0× 892 1.1× 677 1.4× 355 0.8× 80 3.8k
Eric D. Heggestad United States 24 1.3k 1.4× 1.1k 1.3× 843 1.0× 739 1.6× 1.1k 2.6× 55 3.8k
Richard D. Goffin Canada 29 1.2k 1.2× 1.0k 1.2× 1.6k 1.9× 860 1.8× 422 1.0× 81 3.6k
Peter J. Jordan Australia 34 2.3k 2.4× 780 0.9× 1.7k 2.1× 1.1k 2.4× 264 0.6× 87 4.6k
Gene M. Alarcon United States 20 1.5k 1.6× 890 1.0× 1.4k 1.7× 662 1.4× 308 0.7× 65 3.6k
Stephen Stark United States 27 855 0.9× 1.2k 1.4× 566 0.7× 642 1.4× 741 1.7× 85 3.4k
Malcolm James Ree United States 27 997 1.1× 473 0.6× 384 0.5× 232 0.5× 1.1k 2.5× 96 2.6k
Tom O’Neill Canada 29 1.4k 1.5× 397 0.5× 652 0.8× 938 2.0× 172 0.4× 149 3.2k
Leaetta M. Hough United States 19 1.1k 1.1× 1.3k 1.5× 821 1.0× 698 1.5× 693 1.6× 38 3.0k

Countries citing papers authored by John J. Donovan

Since Specialization
Citations

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

Fields of papers citing papers by John J. Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Donovan

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Donovan. A scholar is included among the top collaborators of John J. Donovan 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 John J. Donovan. John J. Donovan 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.
Hundt, Melanie, et al.. (2024). Barriers to liver transplant referral in safety net settings: A national provider survey. Liver Transplantation. 30(9). 896–906. 3 indexed citations
2.
Storms, Aaron D., et al.. (2022). A Pilot Study of a Palliative Care Service Embedded in a Hepatology Clinic at a Large Public Hospital. Journal of Palliative Medicine. 26(6). 776–783. 4 indexed citations
3.
Dunlop, Patrick D., et al.. (2022). Valence, Instrumentality, Expectancy, and Ability as Determinants of Faking, and the Effects of Faking on Criterion-Related Validity. Journal of Business and Psychology. 37(6). 1215–1233. 10 indexed citations
4.
Donovan, John J., et al.. (2021). Disseminated Mycobacterium bovis infection after deceased donor liver transplantation: A case report. SHILAP Revista de lepidopterología. 9(8). e04684–e04684. 1 indexed citations
5.
Storms, Aaron D., et al.. (2020). Outcomes of Palliative Care Services Embedded in a Hepatology Clinic at a Large Public Hospital (S773). Journal of Pain and Symptom Management. 59(2). 571–571. 1 indexed citations
6.
Lee, Brian T., Yun Wang, Alexander H. Yang, et al.. (2019). IgG:IgM Ratios of Liver Plasma Cells Reveal Similar Phenotypes of Primary Biliary Cholangitis With and Without Features of Autoimmune Hepatitis. Clinical Gastroenterology and Hepatology. 19(2). 397–399. 8 indexed citations
7.
Donovan, John J., et al.. (2016). At&t’s talent overhaul. Harvard business review. 94(10). 68–73. 5 indexed citations
8.
Donovan, John J., et al.. (2016). 204: ANTICOAGULATION ON HOSPITAL DISCHARGE IN CRITICALLY ILL PATIENTS WITH NEW-ONSET ATRIAL FIBRILLATION. Critical Care Medicine. 44(12). 128–128. 1 indexed citations
9.
10.
Donovan, John J., Stephen A. Dwight, & Dan Schneider. (2013). The Impact of Applicant Faking on Selection Measures, Hiring Decisions, and Employee Performance. Journal of Business and Psychology. 29(3). 479–493. 82 indexed citations
11.
Donovan, John J.. (2009). Antecedents of discrepancy production in an achievement setting.. Journal of managerial issues. 21(3). 402. 6 indexed citations
12.
Donovan, John J., et al.. (2008). A model of motivational spillover. Dialnet (Universidad de la Rioja). 141–159. 2 indexed citations
13.
McCashland, Timothy M., Kymberly D. Watt, Elizabeth Lyden, et al.. (2007). Retransplantation for hepatitis C: Results of a U.S. multicenter retransplant study. Liver Transplantation. 13(9). 1246–1253. 64 indexed citations
14.
Donovan, John J., et al.. (2007). An Item Response Theory Examination of Two Popular Goal Orientation Measures. Educational and Psychological Measurement. 67(4). 719–739. 17 indexed citations
15.
Jabbour, Nicolas, Gagandeep Singh, Rodrigo Mateo, et al.. (2004). Live Donor Liver Transplantation Without Blood Products. Annals of Surgery. 240(2). 350–357. 60 indexed citations
16.
Donovan, John J. & Kevin J. Williams. (2003). Missing the mark: Effects of time and causal attributions on goal revision in response to goal-performance discrepancies.. Journal of Applied Psychology. 88(3). 379–390. 121 indexed citations
17.
Hurtz, Gregory M. & John J. Donovan. (2000). Personality and job performance: The Big Five revisited.. Journal of Applied Psychology. 85(6). 869–879. 1166 indexed citations breakdown →
18.
Rosen, Hugo R., Paul Martin, John A. Goss, et al.. (1998). SIGNIFICANCE OF EARLY AMINOTRANSFERASE ELEVATION AFTER LIVER TRANSPLANTATION1. Transplantation. 65(1). 68–72. 71 indexed citations
19.
Donovan, John J., et al.. (1973). Radiation Configuration Factors for Annular Rings and Hemispherical Sectors. Journal of Heat Transfer. 95(2). 275–276. 5 indexed citations
20.
Donovan, John J., et al.. (1968). A graphical facility for an interactive simulation system.. IFIP Congress. 593–596. 8 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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