Tesha Suddason

13 total papers · 578 total citations
11 papers, 454 citations indexed

About

Tesha Suddason is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tesha Suddason has authored 11 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Tesha Suddason's work include NF-κB Signaling Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Mechanisms and Therapy (3 papers). Tesha Suddason is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Mechanisms and Therapy (3 papers). Tesha Suddason collaborates with scholars based in United Kingdom, United States and Belgium. Tesha Suddason's co-authors include Graham M. Lord, Leonie S. Taams, Hayley G. Evans, Ian Jackson, Ewen Gallagher, Michael Karin, Xuefeng Wu, Christophe E. Pierreux, Ahmed Elbediwy and Sébastien Dupasquier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Tesha Suddason

10 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Tesha Suddason 273 116 51 45 40 11 454
David R. Glass 261 1.0× 188 1.6× 70 1.4× 45 1.0× 22 0.6× 11 476
Steven Witte 311 1.1× 154 1.3× 94 1.8× 42 0.9× 40 1.0× 9 537
Sarah K. Whitley 400 1.5× 109 0.9× 77 1.5× 31 0.7× 30 0.8× 9 515
Tiphaine Bouriez‐Jones 278 1.0× 166 1.4× 43 0.8× 44 1.0× 16 0.4× 14 547
Marina Scheler 219 0.8× 64 0.6× 55 1.1× 22 0.5× 46 1.1× 9 412
A Yachie 292 1.1× 216 1.9× 47 0.9× 41 0.9× 20 0.5× 9 444
M Heslan 238 0.9× 97 0.8× 58 1.1× 20 0.4× 35 0.9× 9 432
Gabriela Schiechl 326 1.2× 82 0.7× 86 1.7× 23 0.5× 18 0.5× 13 465
Jung Won Kang 308 1.1× 78 0.7× 87 1.7× 33 0.7× 37 0.9× 10 481
Siobhán Smith 353 1.3× 172 1.5× 95 1.9× 58 1.3× 34 0.8× 15 501

Countries citing papers authored by Tesha Suddason

Since Specialization
Citations

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

Fields of papers citing papers by Tesha Suddason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tesha Suddason

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