Elaine Fuchs

524 total papers · 88.9k total citations
391 papers, 68.8k citations indexed

About

Elaine Fuchs is a scholar working on Cell Biology, Molecular Biology and Urology. According to data from OpenAlex, Elaine Fuchs has authored 391 papers receiving a total of 68.8k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Cell Biology, 211 papers in Molecular Biology and 132 papers in Urology. Recurrent topics in Elaine Fuchs's work include Skin and Cellular Biology Research (174 papers), Hair Growth and Disorders (130 papers) and Wnt/β-catenin signaling in development and cancer (78 papers). Elaine Fuchs is often cited by papers focused on Skin and Cellular Biology Research (174 papers), Hair Growth and Disorders (130 papers) and Wnt/β-catenin signaling in development and cancer (78 papers). Elaine Fuchs collaborates with scholars based in United States, Germany and United Kingdom. Elaine Fuchs's co-authors include Cédric Blanpain, H. Amalia Pasolli, Lisa Polak, Howard Green, Linda Degenstein, Ramanuj DasGupta, Géraldine Guasch, Christoph Bauer, Valeri Vasioukhin and Pierre A. Coulombe and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Elaine Fuchs

389 papers receiving 67.4k citations

Hit Papers

Defining the Epithelial S... 1980 2026 1995 2010 2003 2020 2004 1994 2004 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Elaine Fuchs 37.7k 27.0k 14.3k 8.3k 8.2k 391 68.8k
Fiona M. Watt 18.2k 0.5× 13.0k 0.5× 5.8k 0.4× 5.8k 0.7× 4.9k 0.6× 432 39.4k
Werner W. Franke 32.8k 0.9× 27.4k 1.0× 4.6k 0.3× 5.4k 0.6× 4.0k 0.5× 624 58.9k
Ralf Paus 10.0k 0.3× 12.7k 0.5× 20.1k 1.4× 1.9k 0.2× 17.0k 2.1× 595 40.6k
Giulio Gabbiani 13.3k 0.4× 7.2k 0.3× 2.0k 0.1× 4.9k 0.6× 2.8k 0.3× 361 42.1k
Darwin J. Prockop 28.9k 0.8× 6.3k 0.2× 5.0k 0.4× 8.4k 1.0× 923 0.1× 578 83.9k
Jouni Uitto 12.0k 0.3× 16.5k 0.6× 2.3k 0.2× 1.7k 0.2× 5.7k 0.7× 812 37.2k
Michael T. Longaker 15.0k 0.4× 3.9k 0.1× 4.7k 0.3× 3.4k 0.4× 5.4k 0.7× 882 49.3k
Sabine Werner 15.8k 0.4× 4.3k 0.2× 2.4k 0.2× 2.7k 0.3× 3.9k 0.5× 343 34.8k
Anita B. Roberts 31.6k 0.8× 3.7k 0.1× 1.9k 0.1× 10.4k 1.3× 1.2k 0.1× 288 53.4k
Tung‐Tien Sun 8.8k 0.2× 8.4k 0.3× 7.0k 0.5× 2.3k 0.3× 3.6k 0.4× 312 27.1k

Countries citing papers authored by Elaine Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by Elaine Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elaine Fuchs

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