Derek P. Brazil

172 total papers · 8.9k total citations
81 papers, 7.3k citations indexed

About

Derek P. Brazil is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Derek P. Brazil has authored 81 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 14 papers in Nephrology and 9 papers in Genetics. Recurrent topics in Derek P. Brazil's work include Protein Kinase Regulation and GTPase Signaling (13 papers), TGF-β signaling in diseases (13 papers) and Renal and related cancers (12 papers). Derek P. Brazil is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (13 papers), TGF-β signaling in diseases (13 papers) and Renal and related cancers (12 papers). Derek P. Brazil collaborates with scholars based in United Kingdom, Ireland and Switzerland. Derek P. Brazil's co-authors include Brian A. Hemmings, Zhongzhou Yang, Jongsun Park, William W. Chin, James K. Liao, Tommaso Simoncini, Klaus Ley, Ali Hafezi‐Moghadam, Catherine Godson and Finian Martin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Derek P. Brazil

80 papers receiving 7.2k citations

Hit Papers

Interaction of oestrogen ... 2000 2026 2008 2017 2000 2001 2004 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Derek P. Brazil 4.7k 1.1k 956 756 722 81 7.3k
Jean‐Claude Chambard 4.6k 1.0× 972 0.9× 1.2k 1.2× 520 0.7× 754 1.0× 52 7.4k
Hui Gao 2.4k 0.5× 1.2k 1.1× 922 1.0× 584 0.8× 893 1.2× 124 5.1k
Robert A. Screaton 3.9k 0.8× 654 0.6× 954 1.0× 824 1.1× 741 1.0× 57 6.3k
Ali Hafezi‐Moghadam 2.6k 0.5× 875 0.8× 857 0.9× 587 0.8× 621 0.9× 96 6.6k
Stavroula Kousteni 3.5k 0.7× 1.5k 1.4× 1.9k 2.0× 782 1.0× 575 0.8× 62 6.6k
Ralph Buttyan 3.9k 0.8× 596 0.5× 1.7k 1.7× 742 1.0× 311 0.4× 113 7.6k
Arthur Sands 4.0k 0.9× 1.1k 1.0× 2.1k 2.2× 1.1k 1.5× 427 0.6× 62 6.5k
Masahide Ohmichi 2.7k 0.6× 850 0.8× 1.1k 1.1× 511 0.7× 609 0.8× 225 6.1k
Brigitte Kaissling 5.5k 1.2× 981 0.9× 548 0.6× 883 1.2× 741 1.0× 133 9.0k
Hirohisa Kurachi 2.4k 0.5× 773 0.7× 877 0.9× 493 0.7× 592 0.8× 161 5.8k

Countries citing papers authored by Derek P. Brazil

Since Specialization
Citations

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

Fields of papers citing papers by Derek P. Brazil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek P. Brazil. 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 Derek P. Brazil. The network helps show where Derek P. Brazil may publish in the future.

Co-authorship network of co-authors of Derek P. Brazil

This figure shows the co-authorship network connecting the top 25 collaborators of Derek P. Brazil. A scholar is included among the top collaborators of Derek P. Brazil 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 Derek P. Brazil. Derek P. Brazil 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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