Kate J. Heesom

283 total papers · 8.3k total citations
156 papers, 5.3k citations indexed

About

Kate J. Heesom is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Kate J. Heesom has authored 156 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 38 papers in Cell Biology and 27 papers in Genetics. Recurrent topics in Kate J. Heesom's work include Cellular transport and secretion (22 papers), Antibiotic Resistance in Bacteria (15 papers) and Erythrocyte Function and Pathophysiology (13 papers). Kate J. Heesom is often cited by papers focused on Cellular transport and secretion (22 papers), Antibiotic Resistance in Bacteria (15 papers) and Erythrocyte Function and Pathophysiology (13 papers). Kate J. Heesom collaborates with scholars based in United Kingdom, United States and Australia. Kate J. Heesom's co-authors include Peter J. Cullen, Florian Steinberg, Richard M. Denton, David A. Matthews, Ingeborg Hers, S K Moule, Daniel C. Berwick, Jeremy M. Tavaré, Matthew Gallon and Elaine Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kate J. Heesom

152 papers receiving 5.3k citations

Hit Papers

A global analysis of SNX2... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Kate J. Heesom 2.9k 1.2k 676 512 490 156 5.3k
Michael Koval 4.5k 1.6× 957 0.8× 820 1.2× 326 0.6× 432 0.9× 157 8.0k
Wanda K. O’Neal 3.1k 1.1× 731 0.6× 962 1.4× 456 0.9× 660 1.3× 116 7.2k
Ken Watanabe 3.0k 1.0× 969 0.8× 445 0.7× 301 0.6× 974 2.0× 152 5.7k
Yasuo Kitajima 2.5k 0.9× 1.2k 1.0× 707 1.0× 494 1.0× 825 1.7× 271 6.9k
Akemi Suzuki 3.4k 1.2× 599 0.5× 540 0.8× 647 1.3× 286 0.6× 194 5.7k
Lorenza González‐Mariscal 3.6k 1.2× 1.0k 0.8× 412 0.6× 307 0.6× 224 0.5× 100 6.5k
Andrei I. Ivanov 3.3k 1.1× 1.4k 1.2× 810 1.2× 232 0.5× 485 1.0× 135 7.0k
Dorothee Günzel 4.0k 1.4× 564 0.5× 602 0.9× 398 0.8× 388 0.8× 117 8.0k
Jeremy C. Simpson 3.8k 1.3× 1.9k 1.6× 360 0.5× 266 0.5× 430 0.9× 136 6.4k
Jianmin Zhang 3.1k 1.1× 1.4k 1.2× 459 0.7× 203 0.4× 288 0.6× 161 5.4k

Countries citing papers authored by Kate J. Heesom

Since Specialization
Citations

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

Fields of papers citing papers by Kate J. Heesom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate J. Heesom. 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 Kate J. Heesom. The network helps show where Kate J. Heesom may publish in the future.

Co-authorship network of co-authors of Kate J. Heesom

This figure shows the co-authorship network connecting the top 25 collaborators of Kate J. Heesom. A scholar is included among the top collaborators of Kate J. Heesom 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 Kate J. Heesom. Kate J. Heesom 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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