C. K. W. Watts

23 total papers · 1.6k total citations
15 papers, 1.3k citations indexed

About

C. K. W. Watts is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, C. K. W. Watts has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in C. K. W. Watts's work include Estrogen and related hormone effects (10 papers), Cancer-related Molecular Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). C. K. W. Watts is often cited by papers focused on Estrogen and related hormone effects (10 papers), Cancer-related Molecular Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). C. K. W. Watts collaborates with scholars based in Australia and United Kingdom. C. K. W. Watts's co-authors include R. Sutherland, Anna DeFazio, Elizabeth A. Musgrove, John A. Hamilton, Robert I. Nicholson, Kimberley J. E. Sweeney, Michael F. Buckley, David L. Manning, M. Händel and Richard O. Day and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Journal of Bone and Mineral Research.

In The Last Decade

C. K. W. Watts

15 papers receiving 1.3k citations

Hit Papers

Expression and amplificat... 1993 2026 2004 2015 1993 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
C. K. W. Watts 736 650 353 212 173 15 1.3k
Renate M.L. Zwijsen 614 0.8× 778 1.2× 341 1.0× 173 0.8× 69 0.4× 19 1.3k
David L. Manning 1.0k 1.4× 831 1.3× 739 2.1× 316 1.5× 151 0.9× 25 1.7k
Colin K. W. Watts 623 0.8× 1.1k 1.6× 415 1.2× 277 1.3× 87 0.5× 25 1.5k
Richard A. McClelland 722 1.0× 646 1.0× 401 1.1× 234 1.1× 57 0.3× 22 1.2k
Zhi Ming Shao 777 1.1× 805 1.2× 225 0.6× 410 1.9× 56 0.3× 22 1.4k
Daniel Logsdon 309 0.4× 689 1.1× 267 0.8× 293 1.4× 72 0.4× 21 1.4k
Eva M. Valverius 824 1.1× 1.0k 1.6× 452 1.3× 212 1.0× 213 1.2× 24 1.6k
Merlijn Bazuine 626 0.9× 1.0k 1.6× 125 0.4× 199 0.9× 123 0.7× 18 1.7k
Jaideep V. Thottassery 564 0.8× 570 0.9× 151 0.4× 142 0.7× 95 0.5× 31 1.2k
Shannon L. Wyszomierski 538 0.7× 745 1.1× 304 0.9× 191 0.9× 85 0.5× 18 1.2k

Countries citing papers authored by C. K. W. Watts

Since Specialization
Citations

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

Fields of papers citing papers by C. K. W. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. K. W. Watts. 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 C. K. W. Watts. The network helps show where C. K. W. Watts may publish in the future.

Co-authorship network of co-authors of C. K. W. Watts

This figure shows the co-authorship network connecting the top 25 collaborators of C. K. W. Watts. A scholar is included among the top collaborators of C. K. W. Watts 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 C. K. W. Watts. C. K. W. Watts 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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