David J Margolis

23.6k total citations · 1 hit paper
7 papers, 830 citations indexed

About

David J Margolis is a scholar working on Economics and Econometrics, Pharmacology and Dermatology. According to data from OpenAlex, David J Margolis has authored 7 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Pharmacology and 2 papers in Dermatology. Recurrent topics in David J Margolis's work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Acne and Rosacea Treatments and Effects (2 papers). David J Margolis is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (4 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Acne and Rosacea Treatments and Effects (2 papers). David J Margolis collaborates with scholars based in United States, United Kingdom and Italy. David J Margolis's co-authors include Craig A. Umscheid, Craig E. Grossman, Martin A. Weinstock, Henry W. Lim, Timothy M. Dall, David R. Bickers, Clifford Goodman, E. Gemmen, E. J. Faulkner and Christopher J L Murray and has published in prestigious journals such as JAMA, PLoS ONE and Journal of the American Academy of Dermatology.

In The Last Decade

David J Margolis

6 papers receiving 799 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 burden of skin diseases: 2004

2006 539 citations David R. Bickers, Henry W. Lim et al. Journal of the American Academy of Dermatology profile →

Peers

David J Margolis

DERMA

EPIDE

ONCOL

MB

IA

Ashley K. Clark United States

Richard Parslew United Kingdom

E. J. Faulkner United Kingdom

Nadia Raison‐Peyron France

Francisco Gómez‐García Spain

Amy Cha United States

Charlotte Read United States

Divya Sharma United States

Laurenz Schmitt Germany

Julie Wu United States

Ashley K. Clark United States

David J Margolis

500 ×1.3

DERMA

130 ×0.7

EPIDE

41 ×0.4

ONCOL

54 ×0.5

MB

74 ×0.7

IA

Citations per year, relative to David J Margolis David J Margolis (= 1×) peers Ashley K. Clark

Countries citing papers authored by David J Margolis

Since Specialization

Citations

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

Fields of papers citing papers by David J Margolis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J Margolis

This figure shows the co-authorship network connecting the top 25 collaborators of David J Margolis. A scholar is included among the top collaborators of David J Margolis 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 David J Margolis. David J Margolis 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:

7 of 7 papers shown

1.

Barbieri, John S., et al.. (2025). Establishing minimally important difference thresholds for lesion counts in acne clinical studies. Journal of the American Academy of Dermatology. 92(5). 1117–1119.

2.

Lim, Henry W., Scott Collins, Jack Resneck, et al.. (2017). A risk adjustment approach to estimating the burden of skin disease in the United States. Journal of the American Academy of Dermatology. 78(1). 129–140. 19 indexed citations

3.

Karimkhani, Chanté, Lindsay N. Boyers, David J Margolis, et al.. (2014). Comparing Cutaneous Research Funded by the National Institute of Arthritis and Musculoskeletal and Skin Diseases with 2010 Global Burden of Disease Results. PLoS ONE. 9(7). e102122–e102122. 22 indexed citations

4.

Umscheid, Craig A., David J Margolis, & Craig E. Grossman. (2011). Key Concepts of Clinical Trials: A Narrative Review. Postgraduate Medicine. 123(5). 194–204. 210 indexed citations

5.

Gelfand, Joel M., Shanu Kohli Kurd, Andrea L. Neimann, et al.. (2007). Psoriasis and Risk of Myocardial Infarction—Reply. JAMA. 297(4). 361–361. 1 indexed citations

6.

Bickers, David R., Henry W. Lim, David J Margolis, et al.. (2006). The burden of skin diseases: 2004. Journal of the American Academy of Dermatology. 55(3). 490–500. 539 indexed citations breakdown →

7.

Margolis, David J. (1996). Effects of Isotretinoin on Bone Mineralization During Routine Therapy With Isotretinoin for Acne Vulgaris. Archives of Dermatology. 132(7). 769–769. 39 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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