Emma Craythorne

811 citations
27 papers · 266 · h-index 10

Impact in

  • Dermatology top 10%
    • Skin Protection and Aging
    • Cutaneous Melanoma Detection and Management
    • Vascular Tumors and Angiosarcomas

Papers in

    • Cutaneous Melanoma Detection and Management 12
    • Nonmelanoma Skin Cancer Studies 10

Emma Craythorne

23 papers receiving 260 citations

Peers

Emma Craythorne
Comparison fields: 5 of 65
  • Dermatology 49
  • Oncology 82
  • Pathology and Forensic Medicine 43
  • Rheumatology 32
  • Pharmacology 33
Replace Jayson Miedema with:
Jayson Miedema United States
Sara Micaletto Switzerland
Jodi Speiser United States
Yoshihiro Umebayashi Japan
John W Kelly Australia
Yasmina Bauer Switzerland
Eva Santamaría Spain
Yoshikazu Kuboi Japan
Pallavi Agarwal India
Robert N. Page United States
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Citations per field
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Citations per year

Countries citing papers authored by Emma Craythorne

Since Specialization
Citations

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

Fields of papers citing papers by Emma Craythorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201735
2 201935
3 201135
4 201731
5 201526
6 201121
7 201413
8 201912
9 202111
10 202311
11 20206
12 20166
13 20085
14 20143
15
A review of 100 consecutive cases of myelodysplastic syndrome with skin disorders
20083
16 20172
17 20182
18 20202
19 20162
20 20112

About Emma Craythorne

Emma Craythorne is a scholar working on Oncology, Epidemiology, Molecular Biology, Dermatology and Rheumatology, having authored 27 papers that have together received 266 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (12 papers), Nonmelanoma Skin Cancer Studies (10 papers), Sarcoma Diagnosis and Treatment (3 papers), Optical Coherence Tomography Applications (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer and Skin Lesions (3 papers), DNA Repair Mechanisms (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Dermatology (49 citations), Oncology (82 citations), Pathology and Forensic Medicine (43 citations), Rheumatology (32 citations) and Pharmacology (33 citations). Emma Craythorne has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include R. Mallipeddi, Andrew Coleman, Saman Warnakulasuriya, Ghulam J. Mufti, Robert Sarkany, Juliet N. Barker, D. Creamer, Tomos Richards, Elisabeth M. Higgins and Hiva Fassihi. Their work appears in journals such as British Journal of Dermatology, Clinical and Experimental Dermatology, Molecular Case Studies, Nature Communications and Computer Aided Surgery.

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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