Daniel D. Miller

1.6k citations
46 papers · 568 indexed · h-index 8

Impact in

Papers in

Daniel D. Miller

41 papers receiving 555 citations

Peers

Daniel D. Miller
Comparison fields: 5 of 79
  • Dermatology 108
  • Infectious Diseases 144
  • Ophthalmology 58
  • Oncology 164
  • Epidemiology 188
Replace Licinio Contu with:
Licinio Contu Italy
G. Burg Switzerland
Carol L. Kulp‐Shorten United States
Toshimichi Matsui Japan
H. Makni Tunisia
Chryssoula Papageorgiou Greece
Anna Colagrande Italy
Sukanya Wattanapokayakit Thailand
Mehdi Karkouri Morocco
Kabeer Shah United States
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Citations per field
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Licinio Contu · 1×
Citations per year

Countries citing papers authored by Daniel D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202412
4 20241
5 20230
6 20235
7 20223
8 20211
9 20194
10 20193
11 20171
12
Erythema nodosum of non-lower-extremity sites: a histopathologic reappraisal.
20161
13 2014119
14 20122
15 20123
16 201122
17 201143
18 2009147
19 20095
20 20071

About Daniel D. Miller

Daniel D. Miller is a scholar working on Dermatology, Pathology and Forensic Medicine, Periodontics, Hematology and Small Animals, having authored 46 papers that have together received 568 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (6 papers), Cutaneous lymphoproliferative disorders research (5 papers), Skin and Cellular Biology Research (4 papers), Nail Diseases and Treatments (4 papers), Cutaneous Melanoma Detection and Management (4 papers), Tumors and Oncological Cases (4 papers), Vascular Tumors and Angiosarcomas (3 papers) and Oral Health Pathology and Treatment (3 papers). The work is most often cited by research in Dermatology (108 citations), Infectious Diseases (144 citations), Ophthalmology (58 citations), Oncology (164 citations) and Epidemiology (188 citations). Daniel D. Miller has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Jag Bhawan, Ossama Abbas, Josephine Nguyen, Edward W. Cowen, Lindy P. Fox, Maria L. Turner, Diana B. McShane, Sarah T. Arron, Neil S. Prose and Timothy H. McCalmont. Their work appears in journals such as Journal of Cutaneous Pathology, Pediatric Dermatology, Journal of the American Academy of Dermatology, American Journal of Dermatopathology and JAMA 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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