Mitchell D. Feldman

6.3k total citations · 2 hit papers
81 papers, 4.2k citations indexed

About

Mitchell D. Feldman is a scholar working on Social Psychology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mitchell D. Feldman has authored 81 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Social Psychology, 27 papers in General Health Professions and 21 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mitchell D. Feldman's work include Mental Health Treatment and Access (15 papers), Diversity and Career in Medicine (14 papers) and Mentoring and Academic Development (12 papers). Mitchell D. Feldman is often cited by papers focused on Mental Health Treatment and Access (15 papers), Diversity and Career in Medicine (14 papers) and Mentoring and Academic Development (12 papers). Mitchell D. Feldman collaborates with scholars based in United States, Japan and Canada. Mitchell D. Feldman's co-authors include Richard L. Kravitz, Mallory O. Johnson, Ritankar Das, Peter Franks, Sharon E. Straus, Christine Marquez, Ronald M. Epstein, Jeffrey A. Tice, Leah Karliner and David Shimabukuro and has published in prestigious journals such as The Lancet, JAMA and PLoS ONE.

In The Last Decade

Mitchell D. Feldman

78 papers receiving 4.0k 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.

Characteristics of Successful and Failed Mentoring Relationships

2012 353 citations Mitchell D. Feldman et al. profile →
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

2016 339 citations Thomas Desautels, Jacob Calvert et al. JMIR Medical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell D. Feldman United States	32	1.1k	915	874	642	614	81	4.2k
Stacy Tessler Lindau United States	38	823 0.7×	992 1.1×	2.3k 2.6×	915 1.4×	1.0k 1.7×	141	7.8k
Matt Vassar United States	30	331 0.3×	975 1.1×	833 1.0×	361 0.6×	335 0.5×	358	4.0k
Cara Tannenbaum Canada	40	209 0.2×	1.2k 1.3×	964 1.1×	685 1.1×	302 0.5×	142	6.4k
Joan M. Griffin United States	37	394 0.4×	1.4k 1.5×	2.2k 2.6×	710 1.1×	1.0k 1.6×	179	6.3k
Melissa J. Krauss United States	43	356 0.3×	807 0.9×	975 1.1×	1.2k 1.8×	702 1.1×	113	5.3k
Jonathan N. Tobin United States	42	333 0.3×	1.1k 1.2×	1.5k 1.7×	538 0.8×	825 1.3×	173	6.2k
Caroline R. Richardson United States	50	532 0.5×	1.8k 2.0×	2.3k 2.7×	806 1.3×	758 1.2×	225	8.1k
Anthony Jerant United States	36	191 0.2×	1.2k 1.4×	1.6k 1.8×	672 1.0×	391 0.6×	125	4.6k
Alicia Fernández United States	36	234 0.2×	1.6k 1.8×	3.4k 3.9×	412 0.6×	1.1k 1.8×	163	5.8k
Lori A. Bastian United States	43	204 0.2×	1.8k 2.0×	1.4k 1.6×	1.6k 2.5×	1.0k 1.7×	224	8.1k

Countries citing papers authored by Mitchell D. Feldman

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell D. Feldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell D. Feldman

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

All Works

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20 of 20 papers shown

Garcia, Maria E., John Neuhaus, Julian C. Hong, et al.. (2024). Depression Treatment After a Positive Depression Screen Result. JAMA Internal Medicine. 185(2). 221–221. 1 indexed citations

Schwartz, Rachel, et al.. (2023). Does Sponsorship Promote Equity in Career Advancement in Academic Medicine? A Scoping Review. Journal of General Internal Medicine. 39(3). 470–480. 7 indexed citations

Yank, Veronica, et al.. (2023). Faculty knowledge, actions, and perceptions of sponsorship: an institutional survey study. Medical Education Online. 28(1). 2218665–2218665. 3 indexed citations

Garcia, Maria E., Ladson Hinton, Steven E. Gregorich, et al.. (2021). Primary Care Physician Recognition and Documentation of Depressive Symptoms Among Chinese and Latinx Patients During Routine Visits: A Cross-Sectional Study. Health Equity. 5(1). 236–244. 10 indexed citations

Mohamadlou, Hamid, J.R. Calvert, Sidney Le, et al.. (2019). Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics Journal. 26(3). 1912–1925. 15 indexed citations

Musumari, Patou Masika, Teeranee Techasrivichien, S. Pilar Suguimoto, et al.. (2019). Dietary habits, body image, and health service access related to cardiovascular diseases in rural Zambia: A qualitative study. PLoS ONE. 14(2). e0212739–e0212739. 15 indexed citations

Gleason, Nathaniel, et al.. (2017). Psychiatric Consultation at Your Fingertips: Descriptive Analysis of Electronic Consultation From Primary Care to Psychiatry. Journal of Medical Internet Research. 19(8). e279–e279. 22 indexed citations

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2016). Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR Medical Informatics. 4(3). e28–e28. 339 indexed citations breakdown →

Eisendrath, Stuart J., Kevin Delucchi, Maggie Chartier, et al.. (2014). Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: a randomized control trial study protocol. BMC Complementary and Alternative Medicine. 14(1). 95–95. 32 indexed citations

10.

Sakushima, Ken, Ken‐ei Sada, Junji Koizumi, et al.. (2014). Gender differences in preferences for mentoring styles and topics in academic medicine in Japan. 45(1). 1–7. 2 indexed citations

11.

Feldman, Mitchell D., Jody Steinauer, Mandana Khalili, et al.. (2012). A Mentor Development Program for Clinical Translational Science Faculty Leads to Sustained, Improved Confidence in Mentoring Skills. Clinical and Translational Science. 5(4). 362–367. 59 indexed citations

12.

Epstein, Ronald M., Paul R. Duberstein, Mitchell D. Feldman, et al.. (2010). “I Didn’t Know What Was Wrong:” How People With Undiagnosed Depression Recognize, Name and Explain Their Distress. Journal of General Internal Medicine. 25(9). 954–961. 75 indexed citations

13.

Kravitz, Richard L. & Mitchell D. Feldman. (2010). From the Editors’ Desk: Self-Plagiarism and Other Editorial Crimes and Misdemeanors. Journal of General Internal Medicine. 26(1). 1–1. 22 indexed citations

14.

Feldman, Mitchell D., Laurence Huang, B. Joseph Guglielmo, et al.. (2009). Training the Next Generation of Research Mentors: The University of California, San Francisco, Clinical & Translational Science Institute Mentor Development Program. Clinical and Translational Science. 2(3). 216–221. 68 indexed citations

15.

Shields, Cleveland G., et al.. (2007). Exploring and Validating Patient Concerns: Relation to Prescribing for Depression. The Annals of Family Medicine. 5(1). 21–28. 49 indexed citations

16.

Feldman, Mitchell D., Peter Franks, Ronald M. Epstein, Carol E. Franz, & Richard L. Kravitz. (2006). Do Patient Requests for Antidepressants Enhance or Hinder Physicians’ Evaluation of Depression?. Medical Care. 44(12). 1107–1113. 14 indexed citations

17.

Franz, Carol E., et al.. (2006). Caught in the Act? Prevalence, Predictors, and Consequences of Physician Detection of Unannounced Standardized Patients. Health Services Research. 41(6). 2290–2302. 30 indexed citations

18.

Young, Henry N., Robert A. Bell, Ronald M. Epstein, Mitchell D. Feldman, & Richard L. Kravitz. (2006). Types of information physicians provide when prescribing antidepressants. Journal of General Internal Medicine. 21(11). 1172–1177. 36 indexed citations

19.

Kravitz, Richard L., Peter Franks, Mitchell D. Feldman, et al.. (2006). What drives referral from primary care physicians to mental health specialists? A randomized trial using actors portraying depressive symptoms. Journal of General Internal Medicine. 21(6). 584–589. 52 indexed citations

20.

Feldman, Mitchell D.. (1986). The syndrome of anticholinergic intoxication.. American family physician. 34(5). 113–116. 2 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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