David Slater

4.0k citations
130 papers · 2.2k indexed · h-index 25

Impact in

  • Dermatology top 0.5%
    • Cancer and Skin Lesions
    • Cutaneous lymphoproliferative disorders research
  • Hematology top 5%
    • Platelet Disorders and Treatments

Papers in

David Slater

128 papers receiving 2.1k citations

Peers

David Slater
Comparison fields: 5 of 144
  • Dermatology 539
  • Hematology 228
  • Oncology 539
  • Epidemiology 665
  • Pathology and Forensic Medicine 327
Replace K M McLaren with:
K M McLaren United Kingdom
Rosalynn M. Nazarian United States
Leo B. Twiggs United States
Jason K. Rivers Canada
James Linder United States
Franco Rongioletti Italy
Santosh G Honavar India
Jeremy S. Bordeaux United States
David M. Aboulafia United States
André‐Pascal Sappino Switzerland
David Slater relative to K M McLaren United Kingdom K M McLaren's profile →
Citations per field
00.5×
K M McLaren · 1×
Citations per year

Countries citing papers authored by David Slater

Since Specialization
Citations

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

Fields of papers citing papers by David Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202056
2 20152
3 20152
4 20151
5 20152
6 200513
7 200512
8 20046
9 20012
10 200110
11 19984
12 19986
13 199618
14 19928
15 19890
16 19885
17 198717
18 19846
19 198314
20 198212

About David Slater

David Slater is a scholar working on Dermatology, Pathology and Forensic Medicine, Oncology, Transplantation and Epidemiology, having authored 130 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (26 papers), Cervical Cancer and HPV Research (15 papers), Lymphoma Diagnosis and Treatment (13 papers), Autoimmune Bullous Skin Diseases (8 papers), Cutaneous Melanoma Detection and Management (8 papers), Global Cancer Incidence and Screening (7 papers), Eosinophilic Disorders and Syndromes (7 papers) and Vascular Tumors and Angiosarcomas (7 papers). The work is most often cited by research in Dermatology (539 citations), Hematology (228 citations), Oncology (539 citations), Epidemiology (665 citations) and Pathology and Forensic Medicine (327 citations). David Slater has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include E. A. Trowbridge, John F. Martin, Ashley A. Fletcher, Gerald Saldanha, A J Howat, Dennis W. K. Cotton, Dilip D. Giri, Helen I. Safa, William M. Hague and J R Goepel. Their work appears in journals such as British Journal of Dermatology, Histopathology, Cytopathology, Journal of the Royal Society of Medicine and Journal of Clinical Pathology.

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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