Evan G. Williams

5.9k total citations · 1 hit paper
41 papers, 3.4k citations indexed

About

Evan G. Williams is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Evan G. Williams has authored 41 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Genetics. Recurrent topics in Evan G. Williams's work include Mitochondrial Function and Pathology (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Adipose Tissue and Metabolism (9 papers). Evan G. Williams is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Adipose Tissue and Metabolism (9 papers). Evan G. Williams collaborates with scholars based in Switzerland, United States and Luxembourg. Evan G. Williams's co-authors include Johan Auwerx, Laurent Mouchiroud, Pénélope A. Andreux, Norman Moullan, Dongryeol Ryu, Pooja Jha, Ruedi Aebersold, Virginija Jovaisaite, Riekelt H. Houtkooper and Robert W. Williams and has published in prestigious journals such as Science, Cell and Nature Medicine.

In The Last Decade

Evan G. Williams

39 papers receiving 3.4k citations

Hit Papers

Urolithin A induces mitophagy and prolongs lifespan in C.... 2016 2026 2019 2022 2016 250 500 750

Peers

Evan G. Williams
Evan G. Williams
Citations per year, relative to Evan G. Williams Evan G. Williams (= 1×) peers Carolyn L. Cummins

Countries citing papers authored by Evan G. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Evan G. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan G. Williams. 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 Evan G. Williams. The network helps show where Evan G. Williams may publish in the future.

Co-authorship network of co-authors of Evan G. Williams

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

All Works

20 of 20 papers shown
1.
Allayee, Hooman, Charles R. Farber, Marcus Seldin, et al.. (2023). Systems genetics approaches for understanding complex traits with relevance for human disease. eLife. 12. 11 indexed citations
2.
Xu, Fuyi, Jesse D. Ziebarth, Ludger J.E. Goeminne, et al.. (2023). Gene network based analysis identifies a coexpression module involved in regulating plasma lipids with high-fat diet response. The Journal of Nutritional Biochemistry. 119. 109398–109398. 3 indexed citations
3.
Morel, Jean‐David, Giorgia Benegiamo, Johanne Poisson, et al.. (2023). Genetic and dietary modulators of the inflammatory response in the gastrointestinal tract of the BXD mouse genetic reference population. eLife. 12. 1 indexed citations
4.
Morel, Jean‐David, Giorgia Benegiamo, Johanne Poisson, et al.. (2023). Genetic and dietary modulators of the inflammatory response in the gastrointestinal tract of the BXD mouse genetic reference population. eLife. 12. 3 indexed citations
5.
Sharma, Varun, Andrea Fossati, Rodolfo Ciuffa, et al.. (2022). PCfun: a hybrid computational framework for systematic characterization of protein complex function. Briefings in Bioinformatics. 23(4). 1 indexed citations
6.
Morel, Jean‐David, Lucie Sauzéat, Ludger J.E. Goeminne, et al.. (2022). The mouse metallomic landscape of aging and metabolism. Nature Communications. 13(1). 607–607. 35 indexed citations
7.
Lee, Chloe H., Evan G. Williams, Tatjana Sajic, et al.. (2021). Diagnostics and correction of batch effects in large‐scale proteomic studies: a tutorial. Molecular Systems Biology. 17(8). e10240–e10240. 89 indexed citations
8.
Addicks, Gregory C., Hongbo Zhang, Dongryeol Ryu, et al.. (2021). GCN5 maintains muscle integrity by acetylating YY1 to promote dystrophin expression. The Journal of Cell Biology. 221(2). 10 indexed citations
9.
Sandoval-Sierra, José Vladimir, Evan G. Williams, David G. Ashbrook, et al.. (2020). Body weight and high‐fat diet are associated with epigenetic aging in female members of the BXD murine family. Aging Cell. 19(9). e13207–e13207. 20 indexed citations
10.
Liu, Yasmine J., Rebecca L. McIntyre, Georges E. Janssens, et al.. (2020). Mitochondrial translation and dynamics synergistically extend lifespan in C. elegans through HLH-30. The Journal of Cell Biology. 219(6). 36 indexed citations
11.
Rosenberger, George, Moritz Heusel, Isabell Bludau, et al.. (2020). SECAT: Quantifying Protein Complex Dynamics across Cell States by Network-Centric Analysis of SEC-SWATH-MS Profiles. Cell Systems. 11(6). 589–607.e8. 29 indexed citations
12.
Sajic, Tatjana, Rodolfo Ciuffa, Vera Lemos, et al.. (2019). A new class of protein biomarkers based on subcellular distribution: application to a mouse liver cancer model. Scientific Reports. 9(1). 6913–6913. 12 indexed citations
13.
Leandro, João, Sara Violante, Carmen Argmann, et al.. (2019). Mild inborn errors of metabolism in commonly used inbred mouse strains. Molecular Genetics and Metabolism. 126(4). 388–396. 10 indexed citations
14.
Williams, Evan G., Yibo Wu, Witold Wolski, et al.. (2018). Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population. Molecular & Cellular Proteomics. 17(9). 1766–1777. 37 indexed citations
15.
Roy, Suheeta, Evan G. Williams, Maroun Bou Sleiman, et al.. (2018). Genetic cartography of longevity in humans and mice: Current landscape and horizons. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(9). 2718–2732. 23 indexed citations
16.
Williams, Evan G., Yibo Wu, Pooja Jha, et al.. (2016). Systems proteomics of liver mitochondria function. Science. 352(6291). aad0189–aad0189. 212 indexed citations
17.
Ryu, Dongryeol, Laurent Mouchiroud, Pénélope A. Andreux, et al.. (2016). Urolithin A induces mitophagy and prolongs lifespan in C. elegans and increases muscle function in rodents. Nature Medicine. 22(8). 879–888. 769 indexed citations breakdown →
18.
Moullan, Norman, Laurent Mouchiroud, Xu Wang, et al.. (2015). Tetracyclines Disturb Mitochondrial Function across Eukaryotic Models: A Call for Caution in Biomedical Research. Cell Reports. 10(10). 1681–1691. 359 indexed citations
19.
Williams, Evan G. & Johan Auwerx. (2015). The Convergence of Systems and Reductionist Approaches in Complex Trait Analysis. Cell. 162(1). 23–32. 46 indexed citations
20.
Hasenfuss, Sebastian C., Latifa Bakiri, Martin K. Thomsen, et al.. (2014). Regulation of Steatohepatitis and PPARγ Signaling by Distinct AP-1 Dimers. Cell Metabolism. 19(1). 84–95. 96 indexed citations

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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