Jason Giacomel

39 total papers · 2.3k total citations
28 papers, 1.4k citations indexed

About

Jason Giacomel is a scholar working on Epidemiology, Oncology and Dermatology. According to data from OpenAlex, Jason Giacomel has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 20 papers in Oncology and 18 papers in Dermatology. Recurrent topics in Jason Giacomel's work include Nonmelanoma Skin Cancer Studies (22 papers), Cutaneous Melanoma Detection and Management (20 papers) and Cutaneous lymphoproliferative disorders research (13 papers). Jason Giacomel is often cited by papers focused on Nonmelanoma Skin Cancer Studies (22 papers), Cutaneous Melanoma Detection and Management (20 papers) and Cutaneous lymphoproliferative disorders research (13 papers). Jason Giacomel collaborates with scholars based in Austria, Italy and Australia. Jason Giacomel's co-authors include Iris Zalaudek, Giuseppe Argenziano, Gerardo Ferrara, Caterina Catricalà, Jürgen Kreusch, Aimilios Lallas, Rainer Hofmann‐Wellenhof, Alessandro Di Stefani, Harald Kittler and Elvira Moscarella and has published in prestigious journals such as Journal of the American Academy of Dermatology, British Journal of Dermatology and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

Jason Giacomel

27 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Jason Giacomel 952 932 869 127 102 28 1.4k
Rosamaria Corona 617 0.6× 505 0.5× 752 0.9× 129 1.0× 88 0.9× 28 1.5k
Pedro Zaballos 651 0.7× 818 0.9× 748 0.9× 37 0.3× 120 1.2× 72 1.4k
Alice Phan 520 0.5× 549 0.6× 504 0.6× 33 0.3× 63 0.6× 51 1.1k
Sara Bassoli 488 0.5× 614 0.7× 1.0k 1.2× 414 3.3× 33 0.3× 47 1.4k
S. Cavicchini 451 0.5× 664 0.7× 512 0.6× 63 0.5× 40 0.4× 57 1.2k
Basil S. Cherpelis 803 0.8× 596 0.6× 751 0.9× 48 0.4× 20 0.2× 56 1.5k
Tsu‐Yi Chuang 756 0.8× 586 0.6× 548 0.6× 23 0.2× 64 0.6× 40 1.5k
Anna Elisa Verzì 347 0.4× 500 0.5× 321 0.4× 142 1.1× 168 1.6× 87 1.1k
Cristiane Benvenuto-Andrade 367 0.4× 476 0.5× 844 1.0× 211 1.7× 19 0.2× 22 1.1k
Bernd Leinweber 674 0.7× 706 0.8× 386 0.4× 43 0.3× 63 0.6× 36 1.2k

Countries citing papers authored by Jason Giacomel

Since Specialization
Citations

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

Fields of papers citing papers by Jason Giacomel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Giacomel

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Giacomel. A scholar is included among the top collaborators of Jason Giacomel 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 Jason Giacomel. Jason Giacomel 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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