Travis Nemkov

11.7k total citations · 2 hit papers
158 papers, 5.7k citations indexed

About

Travis Nemkov is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Travis Nemkov has authored 158 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 66 papers in Physiology and 36 papers in Hematology. Recurrent topics in Travis Nemkov's work include Erythrocyte Function and Pathophysiology (43 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Blood transfusion and management (18 papers). Travis Nemkov is often cited by papers focused on Erythrocyte Function and Pathophysiology (43 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Blood transfusion and management (18 papers). Travis Nemkov collaborates with scholars based in United States, Canada and France. Travis Nemkov's co-authors include Angelo D’Alessandro, Kirk C. Hansen, Julie A. Reisz, Monika Dzieciątkowska, James C. Zimring, Davide Stefanoni, Tatsuro Yoshida, Matthew J. Wither, Steven L. Spitalnik and James DeGregori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Travis Nemkov

147 papers receiving 5.6k citations

Hit Papers

Inhibition of Amino Acid Metabolism Selectively Targets H... 2018 2026 2020 2023 2018 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Nemkov United States 43 2.4k 1.9k 987 690 620 158 5.7k
Stepan Gambaryan Germany 42 2.7k 1.1× 1.2k 0.6× 1.3k 1.3× 316 0.5× 113 0.2× 159 6.2k
Masaya Nagao Japan 40 2.5k 1.1× 1.5k 0.8× 2.9k 2.9× 984 1.4× 157 0.3× 104 7.1k
Seiji Masuda Japan 31 2.7k 1.1× 778 0.4× 2.7k 2.7× 524 0.8× 165 0.3× 87 6.0k
Barbara A. Miller United States 43 2.2k 0.9× 797 0.4× 894 0.9× 284 0.4× 137 0.2× 127 5.5k
Bart van de Sluis Netherlands 39 3.4k 1.4× 2.6k 1.4× 421 0.4× 835 1.2× 82 0.1× 96 7.7k
Zhenyu Ju China 41 2.8k 1.2× 1.7k 0.9× 531 0.5× 699 1.0× 71 0.1× 151 5.6k
Maddalena Fratelli Italy 33 2.7k 1.1× 526 0.3× 1.1k 1.1× 413 0.6× 173 0.3× 89 4.8k
Harald Esterbauer Austria 41 2.7k 1.1× 1.6k 0.8× 375 0.4× 415 0.6× 81 0.1× 94 5.5k
De‐Pei Liu China 49 4.1k 1.7× 1.3k 0.7× 154 0.2× 1.1k 1.5× 309 0.5× 242 8.0k
Wolfgang Siess Germany 49 3.1k 1.3× 958 0.5× 2.1k 2.1× 360 0.5× 281 0.5× 157 8.0k

Countries citing papers authored by Travis Nemkov

Since Specialization
Citations

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

Fields of papers citing papers by Travis Nemkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Nemkov

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Nemkov. A scholar is included among the top collaborators of Travis Nemkov 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 Travis Nemkov. Travis Nemkov 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
2.
Deng, Xutao, Clara Di Germanio, Pamela Milani, et al.. (2025). Donor genetics and storage conditions influence mitochondrial DNA and extracellular vesicle levels in RBC units. JCI Insight. 10(14). 1 indexed citations
3.
Chen, Vincent, Craig M. Jackson, Tonya M. Brunetti, et al.. (2025). Mitochondrial protein OPA1 is required for the expansion of effector CD8 T cells. Cell Reports. 44(5). 115610–115610. 2 indexed citations
4.
Roberti, Domenico, Julie A. Reisz, Alicia Key, et al.. (2025). Altered branched chain ketoacids underlie shared metabolic phenotypes in type 1 diabetes and maple syrup urine disease. Communications Medicine. 5(1). 311–311.
5.
Lindsey, Amelia R. I., et al.. (2025). The intracellular symbiont Wolbachia alters Drosophila development and metabolism to buffer against nutritional stress. PLoS Genetics. 21(10). e1011905–e1011905.
6.
Tourigny, Jason P., Katherine Beebe, Hongde Li, et al.. (2024). Renal L-2-hydroxyglutarate dehydrogenase activity promotes hypoxia tolerance and mitochondrial metabolism in Drosophila melanogaster. Molecular Metabolism. 89. 102013–102013. 1 indexed citations
7.
Dumont, Larry J., et al.. (2024). Platelet storage failure—Metformin as causative agent. Transfusion. 64(12). 2405–2409. 1 indexed citations
8.
Reisz, Julie A., Eric J. Earley, Travis Nemkov, et al.. (2024). Arginine metabolism is a biomarker of red blood cell and human aging. Aging Cell. 24(2). e14388–e14388. 6 indexed citations
9.
Abreu, Phablo, et al.. (2023). Metabolic Changes during In Vivo Maturation of PSC-Derived Skeletal Myogenic Progenitors. Cells. 13(1). 76–76. 5 indexed citations
10.
D’Alessandro, Angelo, Alkmini T. Anastasiadi, Vassilis L. Tzounakas, et al.. (2023). Red Blood Cell Metabolism In Vivo and In Vitro. Metabolites. 13(7). 793–793. 53 indexed citations
11.
Skinner, Sarah, Travis Nemkov, Mor Diaw, et al.. (2023). Metabolic Profile of Individuals with and without Type 2 Diabetes from Sub-Saharan Africa. Journal of Proteome Research. 22(7). 2319–2326. 6 indexed citations
12.
Lee, Eunjeong, Jasmina S. Redzic, Travis Nemkov, et al.. (2022). Human and Bacterial Toll-Interleukin Receptor Domains Exhibit Distinct Dynamic Features and Functions. Molecules. 27(14). 4494–4494. 2 indexed citations
13.
Nemkov, Travis, et al.. (2020). Gene–Diet Interactions: Dietary Rescue of Metabolic Defects in spen -Depleted Drosophila melanogaster. Genetics. 214(4). 961–975. 13 indexed citations
14.
Nemkov, Travis, Davide Stefanoni, Aarash Bordbar, et al.. (2020). Blood donor exposome and impact of common drugs on red blood cell metabolism. JCI Insight. 6(3). 58 indexed citations
15.
Gregory, Mark A., Travis Nemkov, Hae J. Park, et al.. (2019). Targeting Glutamine Metabolism and Redox State for Leukemia Therapy. Clinical Cancer Research. 25(13). 4079–4090. 127 indexed citations
16.
Rogers, Thomas J., Jessica L. Christenson, Lisa I. Greene, et al.. (2018). Reversal of Triple-Negative Breast Cancer EMT by miR-200c Decreases Tryptophan Catabolism and a Program of Immunosuppression. Molecular Cancer Research. 17(1). 30–41. 52 indexed citations
17.
Goddard, Erica T., Ryan C. Hill, Travis Nemkov, et al.. (2016). The Rodent Liver Undergoes Weaning-Induced Involution and Supports Breast Cancer Metastasis. Cancer Discovery. 7(2). 177–187. 39 indexed citations
18.
D’Alessandro, Angelo, Travis Nemkov, & Kirk C. Hansen. (2016). Rapid detection of DEHP in packed red blood cells stored under European and US standard conditions.. PubMed. 14(2). 140–4. 20 indexed citations
19.
Liu, Wallace H., Sarah C. Roemer, Yeyun Zhou, et al.. (2016). The Cac1 subunit of histone chaperone CAF-1 organizes CAF-1-H3/H4 architecture and tetramerizes histones. eLife. 5. 49 indexed citations
20.
D’Amato, Nicholas C., Thomas J. Rogers, Melita A. Gordon, et al.. (2015). A TDO2-AhR Signaling Axis Facilitates Anoikis Resistance and Metastasis in Triple-Negative Breast Cancer. Cancer Research. 75(21). 4651–4664. 232 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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