Lester Cowell

500 total citations
11 papers, 381 citations indexed

About

Lester Cowell is a scholar working on Oncology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Lester Cowell has authored 11 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Lester Cowell's work include Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (4 papers) and Optical Coherence Tomography Applications (3 papers). Lester Cowell is often cited by papers focused on Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (4 papers) and Optical Coherence Tomography Applications (3 papers). Lester Cowell collaborates with scholars based in Australia, France and United States. Lester Cowell's co-authors include Ashfaq A. Marghoob, Alon Scope, Alfred W. Kopf, Elin S. Gray, Mel Ziman, Robert Pearce, Josep Malvehy, Iris Zalaudek, Ignazio Stanganelli and Anna Reid and has published in prestigious journals such as Journal of Investigative Dermatology, British Journal of Dermatology and Oncotarget.

In The Last Decade

Lester Cowell

11 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lester Cowell Australia 9 277 127 106 82 75 11 381
D. Guerry United States 8 352 1.3× 121 1.0× 144 1.4× 100 1.2× 40 0.5× 11 398
Susanna Rossari Italy 14 274 1.0× 155 1.2× 103 1.0× 121 1.5× 30 0.4× 31 445
Suraj Venna United States 13 251 0.9× 150 1.2× 130 1.2× 181 2.2× 40 0.5× 37 513
Melanie Warycha United States 11 311 1.1× 183 1.4× 136 1.3× 166 2.0× 24 0.3× 21 541
Antonio Vilalta Spain 10 268 1.0× 129 1.0× 148 1.4× 77 0.9× 35 0.5× 15 336
Giuseppe Macripò Italy 16 518 1.9× 124 1.0× 178 1.7× 158 1.9× 32 0.4× 29 593
Alicia Barreiro Spain 11 230 0.8× 99 0.8× 107 1.0× 56 0.7× 33 0.4× 33 310
Gisele Gargantini Rezze Brazil 11 238 0.9× 139 1.1× 150 1.4× 67 0.8× 52 0.7× 34 370
Suresh Thummala United States 11 262 0.9× 44 0.3× 112 1.1× 178 2.2× 33 0.4× 12 364
Christy Walker United Kingdom 8 479 1.7× 111 0.9× 158 1.5× 272 3.3× 43 0.6× 11 635

Countries citing papers authored by Lester Cowell

Since Specialization
Citations

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

Fields of papers citing papers by Lester Cowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lester Cowell

This figure shows the co-authorship network connecting the top 25 collaborators of Lester Cowell. A scholar is included among the top collaborators of Lester Cowell 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 Lester Cowell. Lester Cowell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
McEvoy, Ashleigh C., Michelle R. Pereira, Anna Reid, et al.. (2019). Monitoring melanoma recurrence with circulating tumor DNA: a proof of concept from three case studies. Oncotarget. 10(2). 113–122. 21 indexed citations
2.
McEvoy, Ashleigh C., Benjamin A. Wood, Nima Mesbah Ardakani, et al.. (2018). Droplet Digital PCR for Mutation Detection in Formalin-Fixed, Paraffin-Embedded Melanoma Tissues. Journal of Molecular Diagnostics. 20(2). 240–252. 32 indexed citations
3.
Zaenker, Pauline, Johnny Lo, Robert Pearce, et al.. (2018). A diagnostic autoantibody signature for primary cutaneous melanoma. Oncotarget. 9(55). 30539–30551. 25 indexed citations
4.
Delachartre, Philippe, et al.. (2017). Improved boundary segmentation of skin lesions in high-frequency 3D ultrasound. Computers in Biology and Medicine. 87. 302–310. 10 indexed citations
5.
Cowell, Lester, et al.. (2016). Segmentation of Skin Tumors in High-Frequency 3-D Ultrasound Images. Ultrasound in Medicine & Biology. 43(1). 227–238. 15 indexed citations
6.
7.
Delachartre, Philippe, et al.. (2015). Multigrid level-set segmentation of high-frequency 3D ultrasound images using the Hellinger distance. 1. 165–169. 3 indexed citations
8.
Gray, Elin S., Anna Reid, Samantha Bowyer, et al.. (2015). Circulating Melanoma Cell Subpopulations: Their Heterogeneity and Differential Responses to Treatment. Journal of Investigative Dermatology. 135(8). 2040–2048. 64 indexed citations
9.
Terushkin, Vitaly, Stephen W. Dusza, Alon Scope, et al.. (2012). Changes observed in slow-growing melanomas during long-term dermoscopic monitoring. British Journal of Dermatology. 166(6). 1213–1220. 28 indexed citations
10.
Marghoob, Ashfaq A., Lester Cowell, Alfred W. Kopf, & Alon Scope. (2009). Observation of Chrysalis Structures With Polarized Dermoscopy. Archives of Dermatology. 145(5). 618–618. 83 indexed citations
11.
Argenziano, Giuseppe, Harald Kittler, Gerardo Ferrara, et al.. (2009). Slow-growing melanoma: a dermoscopy follow-up study. British Journal of Dermatology. 162(2). 267–273. 92 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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