Martin Haskett

23 total papers · 433 total citations
13 papers, 292 citations indexed

About

Martin Haskett is a scholar working on Oncology, Epidemiology and Dermatology. According to data from OpenAlex, Martin Haskett has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Epidemiology and 3 papers in Dermatology. Recurrent topics in Martin Haskett's work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (5 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Martin Haskett is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (5 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Martin Haskett collaborates with scholars based in Australia, New Zealand and United Kingdom. Martin Haskett's co-authors include John W. Kelly, Alex J Chamberlain, Yan Pan, Michael Bailey, Alvin H Chong, Catriona McLean, Rory Wolfe, Marius Rademaker, H. Peter Soyer and Michael B. Jameson and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

Martin Haskett

12 papers receiving 285 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Haskett 229 157 138 25 24 13 292
Elena Tolomio 196 0.9× 82 0.5× 74 0.5× 14 0.6× 42 1.8× 18 246
Andrea Suárez 85 0.4× 114 0.7× 110 0.8× 18 0.7× 11 0.5× 22 259
Lumír Pock 94 0.4× 62 0.4× 94 0.7× 43 1.7× 20 0.8× 17 237
Tejaswi Mudigonda 109 0.5× 122 0.8× 134 1.0× 4 0.2× 30 1.3× 12 285
I. Yanguas 117 0.5× 39 0.2× 71 0.5× 80 3.2× 13 0.5× 24 252
Christopher T. Haley 103 0.4× 83 0.5× 20 0.1× 8 0.3× 60 2.5× 16 311
Shannon C. Trotter 170 0.7× 126 0.8× 120 0.9× 3 0.1× 75 3.1× 14 298
Ana M. Ciurea 70 0.3× 51 0.3× 96 0.7× 4 0.2× 61 2.5× 16 212
Caterina M. Giorgio 212 0.9× 121 0.8× 144 1.0× 23 1.0× 18 277
Dunia de Miguel 118 0.5× 52 0.3× 5 0.0× 38 1.5× 37 1.5× 18 267

Countries citing papers authored by Martin Haskett

Since Specialization
Citations

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

Fields of papers citing papers by Martin Haskett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Haskett

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

All Works

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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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