Eugene M. Farber

118 total papers · 3.8k total citations
90 papers, 2.8k citations indexed

About

Eugene M. Farber is a scholar working on Immunology, Dermatology and Oncology. According to data from OpenAlex, Eugene M. Farber has authored 90 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 32 papers in Dermatology and 9 papers in Oncology. Recurrent topics in Eugene M. Farber's work include Psoriasis: Treatment and Pathogenesis (34 papers), Dermatology and Skin Diseases (11 papers) and Cutaneous lymphoproliferative disorders research (9 papers). Eugene M. Farber is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (34 papers), Dermatology and Skin Diseases (11 papers) and Cutaneous lymphoproliferative disorders research (9 papers). Eugene M. Farber collaborates with scholars based in United States, India and China. Eugene M. Farber's co-authors include L Nall, Jorma E. Fräki, Zvi Fuks, Malcolm A. Bagshaw, Victor R. Wheatley, Brian J. Nickoloff, S. P. Raychaudhuri, Elizabeth Abel, Elaine K. Orenberg and David I. Wilkinson and has published in prestigious journals such as JAMA, Cancer and Journal of Investigative Dermatology.

In The Last Decade

Eugene M. Farber

86 papers receiving 2.4k citations

Hit Papers

The Natural History of Ps... 1974 2026 1991 2008 1974 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Eugene M. Farber 1.5k 1.3k 394 351 312 90 2.8k
Külli Kingo 2.3k 1.5× 1.5k 1.1× 371 0.9× 516 1.5× 396 1.3× 98 3.5k
Rotraut Mößner 1.1k 0.7× 836 0.6× 241 0.6× 280 0.8× 442 1.4× 91 2.4k
J.‐P. Ortonne 2.0k 1.3× 1.5k 1.2× 520 1.3× 312 0.9× 555 1.8× 69 3.4k
Maddalena Napolitano 970 0.6× 1.7k 1.3× 312 0.8× 543 1.5× 427 1.4× 189 3.6k
Scott N. Byrne 1.3k 0.9× 983 0.7× 352 0.9× 217 0.6× 129 0.4× 88 2.7k
Hideshi Torii 1.8k 1.2× 1.4k 1.1× 293 0.7× 693 2.0× 410 1.3× 65 3.2k
Akira Ohkawara 1.1k 0.7× 577 0.4× 289 0.7× 250 0.7× 216 0.7× 152 2.7k
Pauline M. Dowd 582 0.4× 939 0.7× 719 1.8× 661 1.9× 395 1.3× 130 3.2k
Bruce F. Bebo 2.1k 1.4× 630 0.5× 930 2.4× 259 0.7× 443 1.4× 60 3.7k
Patrick M. Brunner 1.4k 0.9× 2.7k 2.1× 207 0.5× 1.0k 2.9× 571 1.8× 106 4.3k

Countries citing papers authored by Eugene M. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Eugene M. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene M. Farber. 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 Eugene M. Farber. The network helps show where Eugene M. Farber may publish in the future.

Co-authorship network of co-authors of Eugene M. Farber

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene M. Farber. A scholar is included among the top collaborators of Eugene M. Farber 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 Eugene M. Farber. Eugene M. Farber 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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