David Speakman

755 total citations
30 papers, 423 citations indexed

About

David Speakman is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, David Speakman has authored 30 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 15 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in David Speakman's work include Cutaneous Melanoma Detection and Management (17 papers), Melanoma and MAPK Pathways (13 papers) and CAR-T cell therapy research (4 papers). David Speakman is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), Melanoma and MAPK Pathways (13 papers) and CAR-T cell therapy research (4 papers). David Speakman collaborates with scholars based in Australia, United States and Israel. David Speakman's co-authors include Michael A. Henderson, David Gyorki, John Spillane, Anita Skandarajah, Carl Yoshizawa, Calvin Chao, G. Bruce Mann, Richard H. De Boer, Jill Ainslie and Mark Shackleton and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

David Speakman

26 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Speakman Australia 14 310 110 92 78 62 30 423
Giulia Veronesi Italy 11 186 0.6× 122 1.1× 61 0.7× 39 0.5× 60 1.0× 58 367
T.A. Plunkett United Kingdom 11 350 1.1× 140 1.3× 97 1.1× 65 0.8× 63 1.0× 17 576
Felipe G. Gercovich Argentina 7 218 0.7× 83 0.8× 101 1.1× 86 1.1× 51 0.8× 29 439
Quirinus J.M. Voorham Netherlands 13 242 0.8× 83 0.8× 79 0.9× 85 1.1× 107 1.7× 31 457
Annette M. Lim Australia 14 259 0.8× 194 1.8× 104 1.1× 113 1.4× 142 2.3× 52 565
Samuel G.W. Ow Singapore 12 255 0.8× 99 0.9× 66 0.7× 128 1.6× 25 0.4× 50 426
Nima Mesbah Ardakani Australia 10 141 0.5× 85 0.8× 67 0.7× 60 0.8× 29 0.5× 48 298
T. Rinda Soong United States 12 124 0.4× 106 1.0× 75 0.8× 113 1.4× 39 0.6× 35 475
Pamela Sighinolfi Italy 11 166 0.5× 98 0.9× 65 0.7× 83 1.1× 130 2.1× 14 386
George Blumenschein United States 10 215 0.7× 87 0.8× 90 1.0× 47 0.6× 79 1.3× 20 336

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-authorship network of co-authors of David Speakman

This figure shows the co-authorship network connecting the top 25 collaborators of David Speakman. A scholar is included among the top collaborators of David Speakman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Speakman. David Speakman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joubert, Lynette, et al.. (2024). Outpatient oncology settings: the distinctive contribution of supportive design to patient experience and wellbeing. Building Research & Information. 52(7). 817–835.
2.
Mor, Eyal, Benjamin Baker, Michael A. Henderson, et al.. (2024). Outcomes following extended resection of radiation‐induced angiosarcoma of the breast: a sarcoma unit experience and systematic review. ANZ Journal of Surgery. 94(12). 2150–2158.
3.
Mor, Eyal, Michal Eifer, Jaime A. Duffield, et al.. (2024). 3D-SARC: A Pilot Study Testing the Use of a 3D Augmented-Reality Model with Conventional Imaging as a Preoperative Assessment Tool for Surgical Resection of Retroperitoneal Sarcoma. Annals of Surgical Oncology. 31(10). 7198–7205. 2 indexed citations
4.
Koch, Forrest, David A. Peake, Dana Pascovici, et al.. (2024). Discovery of Plasma Lipids as Potential Biomarkers Distinguishing Breast Cancer Patients from Healthy Controls. International Journal of Molecular Sciences. 25(21). 11559–11559. 1 indexed citations
5.
Milne, Donna, Lumine Na, John Spillane, et al.. (2019). Negative Sentinel Lymph Node Biopsy in Patients with Melanoma: The Patient’s Perspective. Annals of Surgical Oncology. 26(7). 2263–2267. 6 indexed citations
6.
Hicks, Rodney J., et al.. (2019). The Prognosis and Natural History of In-Transit Melanoma Metastases at a High-Volume Centre. Annals of Surgical Oncology. 26(13). 4673–4680. 5 indexed citations
7.
Spillane, John, et al.. (2018). Melanoma in the very elderly, management in patients 85 years of age and over. Journal of Geriatric Oncology. 9(5). 488–493. 15 indexed citations
8.
Kroon, Hidde M., Brendon J. Coventry, Michael A. Henderson, et al.. (2017). Safety and Efficacy of Isolated Limb Infusion Chemotherapy for Advanced Locoregional Melanoma in Elderly Patients: An Australian Multicenter Study. Annals of Surgical Oncology. 24(11). 3245–3251. 7 indexed citations
9.
Boyle, Samantha E., Clare G. Fedele, Vincent Corbin, et al.. (2016). CD271 Expression on Patient Melanoma Cells Is Unstable and Unlinked to Tumorigenicity. Cancer Research. 76(13). 3965–3977. 24 indexed citations
10.
Spillane, John, David Speakman, Christopher McCormack, et al.. (2016). Localized melanoma in older patients, the impact of increasing age and comorbid medical conditions. European Journal of Surgical Oncology. 42(9). 1359–1366. 22 indexed citations
11.
Kroon, Hidde M., Brendon J. Coventry, Michael A. Henderson, et al.. (2015). Australian Multicenter Study of Isolated Limb Infusion for Melanoma. Annals of Surgical Oncology. 23(4). 1096–1103. 23 indexed citations
12.
Lewin, Jeremy, Damien Kee, Michael A. Henderson, et al.. (2015). Surveillance imaging with FDG-PET in the follow-up of melanoma patients at high risk of relapse.. Journal of Clinical Oncology. 33(15_suppl). 9003–9003. 4 indexed citations
13.
McCormack, Christopher, Rachel Conyers, Richard A. Scolyer, et al.. (2014). Atypical Spitzoid neoplasms. Melanoma Research. 24(5). 437–447. 18 indexed citations
14.
Coventry, Brendon J., Hidde M. Kroon, Michael A. Henderson, et al.. (2014). Australian multi‐center experience outside of the Sydney Melanoma Unit of isolated limb infusion chemotherapy for melanoma. Journal of Surgical Oncology. 109(8). 780–785. 16 indexed citations
15.
Boer, Richard H. De, et al.. (2013). The impact of a genomic assay (Oncotype DX) on adjuvant treatment recommendations in early breast cancer. The Medical Journal of Australia. 199(3). 205–208. 56 indexed citations
16.
Henderson, Michael A., et al.. (2012). Angiosarcoma of the breast: A difficult surgical challenge. The Breast. 21(4). 584–589. 43 indexed citations
17.
Speakman, David. (2011). Atlas of Breast Surgical Techniques. ANZ Journal of Surgery. 81(10). 744–744. 1 indexed citations
18.
Behan, Felix, Warren M. Rozen, Xuan Ye, et al.. (2011). Quadriceps keystone island flap for radical inguinal lymphadenectomy: a reliable locoregional island flap for large groin defects. ANZ Journal of Surgery. 83(12). 942–947. 14 indexed citations
19.
20.
Speakman, David, et al.. (2002). Bouveret’s syndrome in Melbourne. ANZ Journal of Surgery. 72(2). 161–163. 23 indexed citations

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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