David Speakman

769 citations
30 papers · 469 · h-index 14

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Vascular Tumors and Angiosarcomas
    • Breast Cancer Treatment Studies

Papers in

    • Cutaneous Melanoma Detection and Management 16
    • CAR-T cell therapy research 2
    • Global Cancer Incidence and Screening 2
    • Vascular Tumors and Angiosarcomas 2
    • Melanoma and MAPK Pathways 6

David Speakman

28 papers receiving 459 citations

Peers

David Speakman
Comparison fields: 5 of 51
  • Oncology 309
  • Cancer Research 69
  • Pulmonary and Respiratory Medicine 75
  • Immunology 51
  • Dermatology 21
Replace Clay M. Anderson with:
Clay M. Anderson United States
John Spillane Australia
Farhad Azimi Australia
Mari F.C.M. van den Hout Netherlands
Priyanka B. Subrahmanyam United States
Yunyi Kong China
Hua-Qing Min China
Bryan Gammon United States
L. Dirix Belgium
David Speakman relative to Clay M. Anderson United States Clay M. Anderson's profile →
Citations per field
00.5×10×16.5×
Clay M. Anderson · 1×
Citations per year

Countries citing papers authored by David Speakman

Since Specialization
Citations

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

Fields of papers citing papers by David Speakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201359
2 201244
3
Isolated limb infusion for melanoma: a simple alternative to isolated limb perfusion.
200144
4 201530
5 200225
6 201625
7 201625
8 201623
9 201422
10 201522
11 201521
12 201419
13 201815
14 201114
15 201412
16 201611
17 201110
18 20209
19 20198
20 20178

About David Speakman

David Speakman is a scholar working on Oncology, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 30 papers that have together received 469 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (16 papers), Melanoma and MAPK Pathways (6 papers), Breast Cancer Treatment Studies (2 papers), CAR-T cell therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Global Cancer Incidence and Screening (2 papers), Vascular Tumors and Angiosarcomas (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (309 citations), Cancer Research (69 citations), Pulmonary and Respiratory Medicine (75 citations), Immunology (51 citations) and Dermatology (21 citations). David Speakman has collaborated with scholars based in Australia, United States and Egypt. Frequent co-authors include Michael A. Henderson, David Gyorki, John Spillane, Anita Skandarajah, G. Bruce Mann, Richard H. De Boer, Calvin Chao, Carl Yoshizawa, Mark Shackleton and Jill Ainslie. Their work appears in journals such as Annals of Surgical Oncology, ANZ Journal of Surgery, Journal of Surgical Oncology, Cancer Research and Melanoma Research.

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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