Alex Bokov

3.5k total citations
38 papers, 2.7k citations indexed

About

Alex Bokov is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Alex Bokov has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Aging and 12 papers in Physiology. Recurrent topics in Alex Bokov's work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Mitochondrial Function and Pathology (7 papers) and Circadian rhythm and melatonin (7 papers). Alex Bokov is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (18 papers), Mitochondrial Function and Pathology (7 papers) and Circadian rhythm and melatonin (7 papers). Alex Bokov collaborates with scholars based in United States, Czechia and Italy. Alex Bokov's co-authors include Arlan Richardson, Asish R. Chaudhuri, Viviana Pérez, Holly Van Remmen, Yuji Ikeno, Arlan Richardson, James Mele, Qitao Ran, Charles J. Epstein and Jan Vijg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alex Bokov

35 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Bokov United States 23 1.3k 1.0k 1.0k 341 213 38 2.7k
Kelvin Yen United States 30 1.5k 1.1× 935 0.9× 1.2k 1.2× 352 1.0× 140 0.7× 58 3.0k
Fiona Kerr United Kingdom 15 851 0.7× 653 0.6× 639 0.6× 219 0.6× 413 1.9× 26 2.0k
Ricardo Gredilla Spain 25 1.5k 1.1× 776 0.8× 1.2k 1.2× 161 0.5× 136 0.6× 39 2.8k
Margaret M. Sedensky United States 36 2.4k 1.8× 1.1k 1.1× 656 0.6× 344 1.0× 515 2.4× 97 3.9k
Nancy J. Linford United States 18 1.5k 1.1× 637 0.6× 778 0.8× 209 0.6× 472 2.2× 20 2.8k
Asish R. Chaudhuri United States 21 1.4k 1.1× 627 0.6× 763 0.7× 125 0.4× 135 0.6× 43 2.5k
Samuel T. Henderson United States 23 1.8k 1.4× 1.3k 1.3× 1.6k 1.6× 531 1.6× 198 0.9× 32 3.8k
Alba Naudí Spain 36 2.0k 1.5× 449 0.4× 1.3k 1.3× 84 0.2× 180 0.8× 76 3.3k
Charles E. Ogburn United States 20 1.8k 1.4× 617 0.6× 1.0k 1.0× 109 0.3× 150 0.7× 31 2.7k
Pınar Coşkun United States 22 3.4k 2.6× 594 0.6× 1.3k 1.3× 136 0.4× 403 1.9× 34 4.9k

Countries citing papers authored by Alex Bokov

Since Specialization
Citations

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

Fields of papers citing papers by Alex Bokov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Bokov

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Bokov. A scholar is included among the top collaborators of Alex Bokov 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 Alex Bokov. Alex Bokov 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.
Bhavnani, Suresh K., Yong‐Fang Kuo, Susanne Schmidt, et al.. (2025). Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study. Journal of Medical Internet Research. 27. e48775–e48775.
2.
Schmidt, Susanne, et al.. (2025). Social determinants of health and rehabilitation service areas: an urban and rural mediation analysis. Frontiers in Public Health. 13. 1562610–1562610.
3.
Bokov, Alex, et al.. (2017). Biologically relevant simulations for validating risk models under small-sample conditions. 290–295. 3 indexed citations
4.
Munkácsy, Erin, Rebecca Lane, Alex Bokov, et al.. (2016). DLK-1, SEK-3 and PMK-3 Are Required for the Life Extension Induced by Mitochondrial Bioenergetic Disruption in C. elegans. PLoS Genetics. 12(7). e1006133–e1006133. 33 indexed citations
5.
Sataranatarajan, Kavithalakshmi, Yuji Ikeno, Alex Bokov, et al.. (2015). Rapamycin Increases Mortality indb/dbMice, a Mouse Model of Type 2 Diabetes. The Journals of Gerontology Series A. 71(7). 850–857. 56 indexed citations
6.
Fernández, Elizabeth, Matthew J. Hart, Jonathan Gelfond, et al.. (2015). Rapamycin improves motor function, reduces 4-hydroxynonenal adducted protein in brain, and attenuates synaptic injury in a mouse model of synucleinopathy. SHILAP Revista de lepidopterología. 5(1). 28743–28743. 49 indexed citations
7.
Pan, Haihui, Kunhua Qin, Zhanyong Guo, et al.. (2014). Negative Elongation Factor Controls Energy Homeostasis in Cardiomyocytes. Cell Reports. 7(1). 79–85. 19 indexed citations
8.
Fok, Wilson C., Carolina B. Livi, Alex Bokov, et al.. (2014). Short-term rapamycin treatment in mice has few effects on the transcriptome of white adipose tissue compared to dietary restriction. Mechanisms of Ageing and Development. 140. 23–29. 16 indexed citations
9.
Fok, Wilson C., Yidong Chen, Alex Bokov, et al.. (2014). Mice Fed Rapamycin Have an Increase in Lifespan Associated with Major Changes in the Liver Transcriptome. PLoS ONE. 9(1). e83988–e83988. 108 indexed citations
10.
Lin, Ai-Ling, Daniel Pulliam, Sathyaseelan S. Deepa, et al.. (2013). Decreased in vitro Mitochondrial Function is Associated with Enhanced Brain Metabolism, Blood Flow, and Memory in Surfl-Deficient Mice. Journal of Cerebral Blood Flow & Metabolism. 33(10). 1605–1611. 28 indexed citations
11.
Zhang, Yiqiang, Alex Bokov, Yuji Ikeno, et al.. (2013). Rapamycin Extends Life and Health in C57BL/6 Mice. The Journals of Gerontology Series A. 69A(2). 119–130. 219 indexed citations
12.
Rawson, Joel M., et al.. (2012). Effects of diet on synaptic vesicle release in dynactin complex mutants: a mechanism for improved vitality during motor disease. Aging Cell. 11(3). 418–427. 10 indexed citations
13.
Mishur, Robert J., et al.. (2012). Profiling the Anaerobic Response of C. elegans Using GC-MS. PLoS ONE. 7(9). e46140–e46140. 27 indexed citations
14.
Sataranatarajan, Kavithalakshmi, Alex Bokov, Elizabeth Fernández, et al.. (2012). Rapamycin selectively alters serum chemistry in diabetic mice. PubMed. 2(1). 15896–15896. 7 indexed citations
15.
Bokov, Alex, Neha Garg, Yuji Ikeno, et al.. (2011). Does Reduced IGF-1R Signaling in Igf1r+/− Mice Alter Aging?. PLoS ONE. 6(11). e26891–e26891. 130 indexed citations
16.
Bhattacharya, Arunabh, Alex Bokov, Florian L. Müller, et al.. (2011). Dietary restriction but not rapamycin extends disease onset and survival of the H46R/H48Q mouse model of ALS. Neurobiology of Aging. 33(8). 1829–1832. 45 indexed citations
17.
Liang, Huiyun, Walter F. Ward, Youngmok C. Jang, et al.. (2011). PGC‐1α protects neurons and alters disease progression in an amyotrophic lateral sclerosis mouse model. Muscle & Nerve. 44(6). 947–956. 60 indexed citations
18.
Bokov, Alex, Merry L. Lindsey, Christina E. Khodr, M. Sabia, & Arlan Richardson. (2009). Long-Lived Ames Dwarf Mice Are Resistant to Chemical Stressors. The Journals of Gerontology Series A. 64A(8). 819–827. 71 indexed citations
19.
Pérez, Viviana, Alex Bokov, Holly Van Remmen, et al.. (2009). Is the oxidative stress theory of aging dead?. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(10). 1005–1014. 462 indexed citations
20.
Bokov, Alex, Daijin Ko, & Arlan Richardson. (2009). The Effect Of Gonadectomy And Estradiol On Sensitivity To Oxidative Stress. Endocrine Research. 34(1-2). 43–58. 24 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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