Daniel Butler

54 papers receiving 877 citations

Peers

Daniel Butler
Comparison fields: 5 of 103
  • Dermatology 360
  • Immunology and Allergy 60
  • Periodontics 43
  • Process Chemistry and Technology 28
  • Toxicology 30
Replace J.‐L. Schmutz with:
J.‐L. Schmutz France
Philippe Paquet Belgium
Marcia S. Driscoll United States
Kachiu C. Lee United States
Abigail Cline United States
Marta J. Van Beek United States
Colin Fleming United Kingdom
Gilles J. Lauzon Canada
Francisco Gómez‐García Spain
Luca Potestio Italy
Daniel Butler relative to J.‐L. Schmutz France J.‐L. Schmutz's profile →
Citations per field
00.5×10×14×
J.‐L. Schmutz · 1×
Citations per year

Countries citing papers authored by Daniel Butler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Butler, 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 Daniel Butler Line = papers co-authored together Daniel Butler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014152
2 201895
3 201468
4 199849
5 201345
6 202441
7 201338
8 201735
9 201134
10 201232
11 201730
12 201925
13 201725
14 201820
15 201319
16 201918
17 201816
18 202116
19 202115
20 202314

About Daniel Butler

Daniel Butler is a scholar working on Dermatology, Epidemiology, Rheumatology, Immunology and Surgery, having authored 60 papers that have together received 919 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (19 papers), Urticaria and Related Conditions (8 papers), Psoriasis: Treatment and Pathogenesis (8 papers), Contact Dermatitis and Allergies (5 papers), Autoimmune Bullous Skin Diseases (4 papers), Allergic Rhinitis and Sensitization (4 papers), Cutaneous Melanoma Detection and Management (3 papers) and Dermatological diseases and infestations (3 papers). The work is most often cited by research in Dermatology (360 citations), Immunology and Allergy (60 citations), Periodontics (43 citations), Process Chemistry and Technology (28 citations) and Toxicology (30 citations). Daniel Butler has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Jenny E. Murase, Misha M. Heller, Howard Alper, Argentina Leon, John Koo, Arash Mostaghimi, Stephen J. Lockwood, William G. Tsiaras, Rishu Gupta and Ethan Levin. Their work appears in journals such as Journal of the American Academy of Dermatology, JAMA Dermatology, Journal of Dermatological Treatment, Journal of Forensic Sciences and Dermatology and Therapy.

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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