Katherine Sellers

12 total papers · 1.7k total citations
5 papers, 1.3k citations indexed

About

Katherine Sellers is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Katherine Sellers has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Katherine Sellers's work include Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Katherine Sellers is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Katherine Sellers collaborates with scholars based in United States, United Kingdom and Spain. Katherine Sellers's co-authors include Mariia Yuneva, Richard M. Higashi, Teresa W.‐M. Fan, Andrew N. Lane, Emma Burgos‐Ramos, David Barneda, Bruno Sáinz, Matthieu Schoenhals, Osvaldo Graña‐Castro and Ramón Campos‐Olivas and has published in prestigious journals such as Journal of Clinical Investigation, Cell Metabolism and British Journal of Cancer.

In The Last Decade

Katherine Sellers

5 papers receiving 1.3k citations

Hit Papers

MYC/PGC-1α Balance Determ... 2015 2026 2018 2022 2015 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
Katherine Sellers 972 742 335 105 88 5 1.3k
Caroline Diepart 1.1k 1.1× 1.1k 1.5× 208 0.6× 127 1.2× 118 1.3× 6 1.6k
Ramani Dinavahi 1.2k 1.2× 1.1k 1.4× 247 0.7× 153 1.5× 122 1.4× 6 1.7k
Arig Ibrahim Hashim 603 0.6× 478 0.6× 153 0.5× 59 0.6× 64 0.7× 9 1.1k
Simran S. Sabharwal 928 1.0× 395 0.5× 197 0.6× 157 1.5× 95 1.1× 8 1.5k
Chad N. Hancock 1.0k 1.1× 637 0.9× 252 0.8× 59 0.6× 64 0.7× 16 1.4k
Karine Ilc 1.1k 1.2× 716 1.0× 239 0.7× 93 0.9× 127 1.4× 14 1.6k
Hiroko Onozuka 752 0.8× 443 0.6× 125 0.4× 56 0.5× 90 1.0× 5 1.1k
Mark A. Keibler 1.0k 1.1× 806 1.1× 281 0.8× 76 0.7× 104 1.2× 13 1.6k
Daniel M. Kremer 701 0.7× 462 0.6× 333 1.0× 147 1.4× 62 0.7× 9 1.1k
Sravanth K. Hindupur 921 0.9× 487 0.7× 198 0.6× 109 1.0× 66 0.8× 12 1.3k

Countries citing papers authored by Katherine Sellers

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Sellers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Sellers

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