Fiona M. Watt

681 total papers · 56.9k total citations
432 papers, 39.4k citations indexed

About

Fiona M. Watt is a scholar working on Cell Biology, Molecular Biology and Urology. According to data from OpenAlex, Fiona M. Watt has authored 432 papers receiving a total of 39.4k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Cell Biology, 190 papers in Molecular Biology and 77 papers in Urology. Recurrent topics in Fiona M. Watt's work include Skin and Cellular Biology Research (110 papers), Hair Growth and Disorders (76 papers) and Cellular Mechanics and Interactions (74 papers). Fiona M. Watt is often cited by papers focused on Skin and Cellular Biology Research (110 papers), Hair Growth and Disorders (76 papers) and Cellular Mechanics and Interactions (74 papers). Fiona M. Watt collaborates with scholars based in United Kingdom, United States and Germany. Fiona M. Watt's co-authors include Josephine C. Adams, Philip H. Jones, Ryan R. Driskell, Wilhelm T. S. Huck, Kai Kretzschmar, Kim B. Jensen, Michaela Frye, David M. Owens, Alan Jian Zhu and Esther Hoste and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Fiona M. Watt

427 papers receiving 38.7k citations

Hit Papers

Out of Eden: Stem Cells a... 1993 2026 2004 2015 2000 2012 1993 1993 2013 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Fiona M. Watt 18.2k 13.0k 5.8k 5.8k 4.9k 432 39.4k
Giulio Gabbiani 13.3k 0.7× 7.2k 0.6× 2.0k 0.3× 4.9k 0.8× 2.8k 0.6× 361 42.1k
Elaine Fuchs 37.7k 2.1× 27.0k 2.1× 14.3k 2.5× 8.3k 1.4× 8.2k 1.7× 391 68.8k
Sabine Werner 15.8k 0.9× 4.3k 0.3× 2.4k 0.4× 2.7k 0.5× 3.9k 0.8× 343 34.8k
Werner W. Franke 32.8k 1.8× 27.4k 2.1× 4.6k 0.8× 5.4k 0.9× 4.0k 0.8× 624 58.9k
Jouni Uitto 12.0k 0.7× 16.5k 1.3× 2.3k 0.4× 1.7k 0.3× 5.7k 1.2× 812 37.2k
Darwin J. Prockop 28.9k 1.6× 6.3k 0.5× 5.0k 0.9× 8.4k 1.5× 923 0.2× 578 83.9k
Anita B. Roberts 31.6k 1.7× 3.7k 0.3× 1.9k 0.3× 10.4k 1.8× 1.2k 0.2× 288 53.4k
Howard Green 12.8k 0.7× 7.4k 0.6× 1.6k 0.3× 2.9k 0.5× 3.1k 0.6× 147 29.1k
Michael T. Longaker 15.0k 0.8× 3.9k 0.3× 4.7k 0.8× 3.4k 0.6× 5.4k 1.1× 882 49.3k
Boris Hinz 7.3k 0.4× 6.4k 0.5× 1.1k 0.2× 3.1k 0.5× 1.4k 0.3× 175 25.5k

Countries citing papers authored by Fiona M. Watt

Since Specialization
Citations

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

Fields of papers citing papers by Fiona M. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona M. Watt

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