David Eilers

561 citations
21 papers · 451 · h-index 9

Impact in

  • Epidemiology top 10%
    • Nonmelanoma Skin Cancer Studies
    • Skin Protection and Aging
    • Acne and Rosacea Treatments and Effects
    • Dermatology and Skin Diseases

Papers in

    • Chemotherapy-related skin toxicity 2
    • Dermatology and Skin Diseases 1
    • Cancer and Skin Lesions 1
    • Nonmelanoma Skin Cancer Studies 7

David Eilers

18 papers receiving 418 citations

Peers

David Eilers
Comparison fields: 5 of 43
  • Epidemiology 320
  • Dermatology 72
  • Oncology 35
  • Pharmaceutical Science 9
  • Rheumatology 14
Replace Dema T. Alniemi with:
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Citations per year

Countries citing papers authored by David Eilers

Since Specialization
Citations

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

Fields of papers citing papers by David Eilers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Eilers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Eilers Line = papers co-authored together David Eilers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 201893
3 201587
4
Reliability of counting actinic keratoses before and after brief consensus discussion: the VA topical tretinoin chemoprevention (VATTC) trial.
200176
5 200726
6 200916
7 201315
8 200011
9
High Prevalence of Erythrasma in Patients with Inverse Psoriasis: A Cross-sectional Study.
20209
10 19956
11 20166
12 20155
13
Woronoff ring associated with adalimumab therapy for psoriasis.
20142
14
Cutaneous Sarcoid-Like Reaction on Tattooed Skin after Recovery from Coronavirus Disease 2019.
20212
15 20181
16 20221
17 20231
18 20251
19 19970
20 20220

About David Eilers

David Eilers is a scholar working on Dermatology, Epidemiology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (7 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Chemotherapy-related skin toxicity (2 papers), Male Breast Health Studies (2 papers), Dermatology and Skin Diseases (1 paper), Cancer and Skin Lesions (1 paper), Autoimmune Bullous Skin Diseases (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Epidemiology (320 citations), Dermatology (72 citations), Oncology (35 citations), Pharmaceutical Science (9 citations) and Rheumatology (14 citations). David Eilers has collaborated with scholars based in United States. Frequent co-authors include Martin A. Weinstock, James Kalivas, Mark F. Naylor, Gary W. Cole, John J. DiGiovanna, Russell P. Hall, Hayes B. Gladstone, Daniel J. Piacquadio, Stephen F. Bingham and Julia E. Vertrees. Their work appears in journals such as JAMA Dermatology, Journal of the American Academy of Dermatology, American Journal of Roentgenology, Journal of Investigative Dermatology and British Journal of Dermatology.

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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