John K. Eaton

11.3k total citations · 4 hit papers
9 papers, 5.8k citations indexed

About

John K. Eaton is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, John K. Eaton has authored 9 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in John K. Eaton's work include Ferroptosis and cancer prognosis (3 papers), Mitochondrial Function and Pathology (2 papers) and Trace Elements in Health (2 papers). John K. Eaton is often cited by papers focused on Ferroptosis and cancer prognosis (3 papers), Mitochondrial Function and Pathology (2 papers) and Trace Elements in Health (2 papers). John K. Eaton collaborates with scholars based in United States and Germany. John K. Eaton's co-authors include Stuart L. Schreiber, Vasanthi S. Viswanathan, Shannon Coy, Jordan Rossen, Peter Tsvetkov, Lena Joesch-Cohen, Boryana Petrova, Mai Abdusamad, Mustafa Kocak and Naama Kanarek and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John K. Eaton

9 papers receiving 5.7k citations

Hit Papers

Copper induces cell death by targetin... 2017 2026 2020 2023 2022 2017 2019 2020 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John K. Eaton United States 9 3.3k 3.0k 2.5k 825 655 9 5.8k
Rohitha Sriramaratnam Switzerland 6 3.6k 1.1× 3.8k 1.3× 2.6k 1.1× 648 0.8× 389 0.6× 9 5.7k
Naama Kanarek United States 17 2.6k 0.8× 1.2k 0.4× 1.6k 0.7× 766 0.9× 609 0.9× 28 5.0k
Vasanthi S. Viswanathan United States 7 5.0k 1.5× 5.2k 1.7× 3.7k 1.5× 969 1.2× 475 0.7× 10 7.7k
Guang Lei United States 19 4.8k 1.5× 5.0k 1.7× 3.7k 1.5× 817 1.0× 241 0.4× 34 7.2k
Peter Tsvetkov Israel 27 3.3k 1.0× 1.4k 0.5× 1.3k 0.5× 897 1.1× 770 1.2× 40 5.5k
Matthew Welsch United States 7 5.3k 1.6× 5.1k 1.7× 3.6k 1.4× 980 1.2× 496 0.8× 11 8.7k
Yangyang Yu China 22 2.5k 0.8× 2.2k 0.7× 1.6k 0.6× 479 0.6× 229 0.3× 68 4.4k
Pranavi Koppula United States 15 4.9k 1.5× 5.1k 1.7× 3.9k 1.6× 777 0.9× 259 0.4× 19 7.2k
Jordan Rossen United States 4 1.8k 0.5× 1.3k 0.4× 1.1k 0.5× 584 0.7× 661 1.0× 5 3.7k
Boryana Petrova United States 17 2.0k 0.6× 1.1k 0.4× 1.1k 0.5× 504 0.6× 595 0.9× 31 4.0k

Countries citing papers authored by John K. Eaton

Since Specialization
Citations

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

Fields of papers citing papers by John K. Eaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Eaton. 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 John K. Eaton. The network helps show where John K. Eaton may publish in the future.

Co-authorship network of co-authors of John K. Eaton

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Eaton. A scholar is included among the top collaborators of John K. Eaton 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 John K. Eaton. John K. Eaton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Tsvetkov, Peter, Shannon Coy, Boryana Petrova, et al.. (2022). Copper induces cell death by targeting lipoylated TCA cycle proteins. Science. 375(6586). 1254–1261. 2990 indexed citations breakdown →
2.
Moosmayer, Dieter, A. Hilpmann, Katja Zimmermann, et al.. (2021). Crystal structures of the selenoprotein glutathione peroxidase 4 in its apo form and in complex with the covalently bound inhibitor ML162. Acta Crystallographica Section D Structural Biology. 77(2). 237–248. 89 indexed citations
3.
Zou, Yilong, Haoxin Li, Emily Graham, et al.. (2021). Author Correction: Cytochrome P450 oxidoreductase contributes to phospholipid peroxidation in ferroptosis. Nature Chemical Biology. 17(4). 501–501. 10 indexed citations
4.
Zou, Yilong, Haoxin Li, Emily Graham, et al.. (2020). Cytochrome P450 oxidoreductase contributes tophospholipid peroxidation in ferroptosis. Nature Chemical Biology. 16(3). 302–309. 565 indexed citations breakdown →
5.
Eaton, John K., Laura Furst, Luke L. Cai, Vasanthi S. Viswanathan, & Stuart L. Schreiber. (2020). Structure–activity relationships of GPX4 inhibitor warheads. Bioorganic & Medicinal Chemistry Letters. 30(23). 127538–127538. 45 indexed citations
6.
To, Tsz‐Leung, Alejandro M. Cuadros, Hardik Shah, et al.. (2019). A Compendium of Genetic Modifiers of Mitochondrial Dysfunction Reveals Intra-organelle Buffering. Cell. 179(5). 1222–1238.e17. 99 indexed citations
7.
Zou, Yilong, Michael J. Palte, Amy Deik, et al.. (2019). A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis. Nature Communications. 10(1). 1617–1617. 663 indexed citations breakdown →
8.
Eaton, John K., et al.. (2019). Diacylfuroxans Are Masked Nitrile Oxides That Inhibit GPX4 Covalently. Journal of the American Chemical Society. 141(51). 20407–20415. 97 indexed citations
9.
Hangauer, Matthew J., Vasanthi S. Viswanathan, Matthew J. Ryan, et al.. (2017). Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition. Nature. 551(7679). 247–250. 1204 indexed citations breakdown →

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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