Timothy W. Rhoads

1.4k total citations
17 papers, 783 citations indexed

About

Timothy W. Rhoads is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Timothy W. Rhoads has authored 17 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Physiology and 4 papers in Aging. Recurrent topics in Timothy W. Rhoads's work include Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Timothy W. Rhoads is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Timothy W. Rhoads collaborates with scholars based in United States, Australia and Spain. Timothy W. Rhoads's co-authors include Christian A. Refakis, Ryan A. Mehl, Richard B. Cooley, Melissa L. Blackman, Jennifer C. Peeler, Michael T. Taylor, Joseph M. Fox, Joseph S. Beckman, Álvaro G. Estévez and María Clara Franco and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Timothy W. Rhoads

16 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy W. Rhoads United States 13 445 189 182 112 108 17 783
F. García United States 14 932 2.1× 165 0.9× 152 0.8× 81 0.7× 35 0.3× 33 1.4k
Aphrodite Caragounis Australia 21 449 1.0× 93 0.5× 490 2.7× 235 2.1× 36 0.3× 30 1.4k
Miki Hiraoka Japan 20 556 1.2× 62 0.3× 269 1.5× 29 0.3× 128 1.2× 60 1.0k
J Riondel France 14 515 1.2× 53 0.3× 145 0.8× 27 0.2× 44 0.4× 29 823
David C. Butler United States 18 730 1.6× 314 1.7× 167 0.9× 108 1.0× 162 1.5× 28 1.3k
Choong Leol Yoo United States 11 936 2.1× 174 0.9× 148 0.8× 56 0.5× 9 0.1× 13 1.3k
Gelin Wang China 13 900 2.0× 120 0.6× 74 0.4× 41 0.4× 13 0.1× 19 1.3k
Shailendra K. Sahu United States 19 379 0.9× 47 0.2× 140 0.8× 72 0.6× 73 0.7× 40 853
Rishi Rakhit United States 13 650 1.5× 62 0.3× 241 1.3× 728 6.5× 24 0.2× 14 1.3k
Kamil Gotfryd Denmark 20 1.2k 2.6× 64 0.3× 63 0.3× 26 0.2× 59 0.5× 40 1.5k

Countries citing papers authored by Timothy W. Rhoads

Since Specialization
Citations

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

Fields of papers citing papers by Timothy W. Rhoads

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy W. Rhoads. 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 Timothy W. Rhoads. The network helps show where Timothy W. Rhoads may publish in the future.

Co-authorship network of co-authors of Timothy W. Rhoads

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

All Works

17 of 17 papers shown
1.
Clark, Josef P., Timothy W. Rhoads, Kevin W. Eliceiri, et al.. (2025). Neuron-specific isoform of PGC-1α regulates neuronal metabolism and brain aging. Nature Communications. 16(1). 2053–2053. 5 indexed citations
2.
Clark, Josef P., Timothy W. Rhoads, Sean J. McIlwain, et al.. (2025). Caloric Restriction Reprograms Adipose Tissues in Rhesus Monkeys. Aging Cell. 24(12). e70254–e70254.
3.
Anderson, Rozalyn M., Gary M. Diffee, Timothy W. Rhoads, et al.. (2023). Geroprotector drugs and exercise: friends or foes on healthy longevity?. BMC Biology. 21(1). 287–287. 12 indexed citations
4.
Gordillo, Ruth, Timothy W. Rhoads, Maggie S. Burhans, et al.. (2022). Ceramides are early responders in metabolic syndrome development in rhesus monkeys. Scientific Reports. 12(1). 9960–9960. 6 indexed citations
5.
Overmyer, Katherine A., Timothy W. Rhoads, Anna E. Merrill, et al.. (2021). Proteomics, Lipidomics, Metabolomics, and 16S DNA Sequencing of Dental Plaque From Patients With Diabetes and Periodontal Disease. Molecular & Cellular Proteomics. 20. 100126–100126. 32 indexed citations
6.
Rhoads, Timothy W., Josef P. Clark, Karl N. Miller, et al.. (2020). Molecular and Functional Networks Linked to Sarcopenia Prevention by Caloric Restriction in Rhesus Monkeys. Cell Systems. 10(2). 156–168.e5. 35 indexed citations
7.
Peng, Yajing, Qing Yu, Timothy W. Rhoads, et al.. (2019). Acetyl-CoA flux regulates the proteome and acetyl-proteome to maintain intracellular metabolic crosstalk. Nature Communications. 10(1). 3929–3929. 34 indexed citations
8.
Miller, Karl N., Josef P. Clark, Stephen A. Martin, et al.. (2019). PGC‐1a integrates a metabolism and growth network linked to caloric restriction. Aging Cell. 18(5). 26 indexed citations
9.
Rhoads, Timothy W., Maggie S. Burhans, Vincent B. Chen, et al.. (2018). Caloric Restriction Engages Hepatic RNA Processing Mechanisms in Rhesus Monkeys. Cell Metabolism. 27(3). 677–688.e5. 51 indexed citations
10.
Trías, Emiliano, Nathan I. Lopez, Edwin M. Labut, et al.. (2016). Copper delivery to the CNS by CuATSM effectively treats motor neuron disease in SODG93A mice co-expressing the Copper-Chaperone-for-SOD. Neurobiology of Disease. 89. 1–9. 122 indexed citations
11.
Rhoads, Timothy W., A. Krishna Prasad, Nicholas W. Kwiecien, et al.. (2015). NeuCode Labeling in Nematodes: Proteomic and Phosphoproteomic Impact of Ascaroside Treatment in Caenorhabditis elegans. Molecular & Cellular Proteomics. 14(11). 2922–2935. 17 indexed citations
12.
Rhoads, Timothy W., Christopher M. Rose, Derek J. Bailey, et al.. (2014). Neutron-Encoded Mass Signatures for Quantitative Top-Down Proteomics. Analytical Chemistry. 86(5). 2314–2319. 39 indexed citations
13.
Franco, María Clara, Yaozu Ye, Christian A. Refakis, et al.. (2013). Nitration of Hsp90 induces cell death. Proceedings of the National Academy of Sciences. 110(12). E1102–11. 115 indexed citations
14.
Rhoads, Timothy W., et al.. (2012). Using Theoretical Protein Isotopic Distributions to Parse Small-Mass-Difference Post-Translational Modifications via Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 24(1). 115–124. 21 indexed citations
15.
Peeler, Jennifer C., Michael T. Taylor, Melissa L. Blackman, et al.. (2012). Genetically Encoded Tetrazine Amino Acid Directs Rapid Site-Specific in Vivo Bioorthogonal Ligation with trans-Cyclooctenes. Journal of the American Chemical Society. 134(6). 2898–2901. 235 indexed citations
16.
Rhoads, Timothy W., Nathan I. Lopez, Daniel R. Zollinger, et al.. (2011). Measuring copper and zinc superoxide dismutase from spinal cord tissue using electrospray mass spectrometry. Analytical Biochemistry. 415(1). 52–58. 21 indexed citations
17.
Cooley, Richard B., Timothy W. Rhoads, Daniel J. Arp, & P. Andrew Karplus. (2011). A Diiron Protein Autogenerates a Valine-Phenylalanine Cross-Link. Science. 332(6032). 929–929. 12 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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