Jason D. Doles

2.9k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Jason D. Doles is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jason D. Doles has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Physiology and 6 papers in Genetics. Recurrent topics in Jason D. Doles's work include Muscle Physiology and Disorders (21 papers), Nutrition and Health in Aging (7 papers) and Single-cell and spatial transcriptomics (5 papers). Jason D. Doles is often cited by papers focused on Muscle Physiology and Disorders (21 papers), Nutrition and Health in Aging (7 papers) and Single-cell and spatial transcriptomics (5 papers). Jason D. Doles collaborates with scholars based in United States, Canada and United Kingdom. Jason D. Doles's co-authors include Michael T. Hemann, Bradley B. Olwin, John K. Hall, Dong Seong Cho, Kathleen Kelly, Graham C. Walker, Kun Xie, Robert J. Lipinski, Wade Bushman and Scott W. Lowe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Jason D. Doles

40 papers receiving 2.1k citations

Hit Papers

p38 MAPK signaling underl... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason D. Doles United States 19 1.5k 454 372 219 217 44 2.2k
Ofelia M. Martínez-Estrada Spain 18 1.2k 0.8× 373 0.8× 243 0.7× 201 0.9× 337 1.6× 28 2.3k
Gavin D. Richardson United Kingdom 21 846 0.6× 537 1.2× 494 1.3× 172 0.8× 211 1.0× 47 1.9k
Marie‐Bernadette Delisle France 27 1.0k 0.7× 394 0.9× 291 0.8× 156 0.7× 221 1.0× 95 2.4k
Reimar Abraham Italy 10 2.1k 1.4× 600 1.3× 461 1.2× 251 1.1× 237 1.1× 16 3.0k
Anyonya R. Guntur United States 22 953 0.6× 342 0.8× 239 0.6× 293 1.3× 128 0.6× 36 1.6k
Chun Guo China 26 974 0.7× 207 0.5× 347 0.9× 203 0.9× 148 0.7× 56 1.8k
Shaoqiong Chen China 18 1.2k 0.8× 230 0.5× 383 1.0× 256 1.2× 262 1.2× 29 2.1k
Nadine Martin France 29 1.1k 0.7× 373 0.8× 594 1.6× 171 0.8× 219 1.0× 63 2.4k
Roy C. Smith United States 21 1.3k 0.9× 305 0.7× 293 0.8× 266 1.2× 213 1.0× 29 1.9k
Riikka Kivelä Finland 29 1.8k 1.2× 746 1.6× 477 1.3× 306 1.4× 381 1.8× 58 2.9k

Countries citing papers authored by Jason D. Doles

Since Specialization
Citations

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

Fields of papers citing papers by Jason D. Doles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason D. Doles. 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 Jason D. Doles. The network helps show where Jason D. Doles may publish in the future.

Co-authorship network of co-authors of Jason D. Doles

This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Doles. A scholar is included among the top collaborators of Jason D. Doles 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 Jason D. Doles. Jason D. Doles 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.
Dasgupta, Aneesha, et al.. (2025). Promising preclinical approaches to combating cancer-associated cachexia/tissue wasting. Current Opinion in Supportive and Palliative Care. 19(3). 175–179.
2.
Dasgupta, Aneesha, R. Schmitt, Tatsuyoshi Kono, et al.. (2025). Histidine decarboxylase inhibition attenuates cancer-associated muscle wasting. The Journal of Experimental Medicine. 222(9).
3.
Balnis, Joseph, Emily Jackson, Lisa A. Drake, et al.. (2024). Succinate dehydrogenase–complex II regulates skeletal muscle cellular respiration and contractility but not muscle mass in genetically induced pulmonary emphysema. Science Advances. 10(34). eado8549–eado8549. 3 indexed citations
4.
Neyroud, Daria, Orlando Laitano, Aneesha Dasgupta, et al.. (2023). Blocking muscle wasting via deletion of the muscle-specific E3 ligase MuRF1 impedes pancreatic tumor growth. Communications Biology. 6(1). 519–519. 20 indexed citations
6.
Dasgupta, Aneesha, R. Schmitt, Elizabeth S. Bruinsma, et al.. (2023). A TGF-β/KLF10 signaling axis regulates atrophy-associated genes to induce muscle wasting in pancreatic cancer. Proceedings of the National Academy of Sciences. 120(34). 15 indexed citations
7.
Schmitt, R., et al.. (2023). Muscle stem cells contribute to long‐term tissue repletion following surgical sepsis. Journal of Cachexia Sarcopenia and Muscle. 14(3). 1424–1440. 14 indexed citations
8.
Schmitt, R., Dong Seong Cho, Zachary T. Resch, et al.. (2022). Myogenesis defects in a patient-derived iPSC model of hereditary GNE myopathy. npj Regenerative Medicine. 7(1). 48–48. 8 indexed citations
9.
Dasgupta, Aneesha, R. Schmitt, Dong Seong Cho, et al.. (2021). Anticachectic regulator analysis reveals Perp-dependent antitumorigenic properties of 3-methyladenine in pancreatic cancer. JCI Insight. 7(2). 14 indexed citations
10.
Doles, Jason D., et al.. (2021). Disease-associated metabolic alterations that impact satellite cells and muscle regeneration: perspectives and therapeutic outlook. Nutrition & Metabolism. 18(1). 33–33. 11 indexed citations
11.
Doles, Jason D., et al.. (2021). Disrupted NOS2 metabolism drives myoblast response to wasting-associated cytokines. Experimental Cell Research. 407(1). 112779–112779. 4 indexed citations
12.
Boehmer, Kasey R., Suelen L. Boschen, Jason D. Doles, et al.. (2021). Motivating Self-Efficacy in Diverse Biomedical Science Post-baccalaureate and Graduate Students Through Scientific Conference Implementation. Frontiers in Education. 6. 1 indexed citations
13.
Hogan, Kelly A., et al.. (2020). The wasting‐associated metabolite succinate disrupts myogenesis and impairs skeletal muscle regeneration. SHILAP Revista de lepidopterología. 3(2). 56–69. 14 indexed citations
14.
Cho, Dong Seong, et al.. (2019). Refining the adipose progenitor cell landscape in healthy and obese visceral adipose tissue using single-cell gene expression profiling. Life Science Alliance. 2(6). e201900561–e201900561. 43 indexed citations
15.
Cho, Dong Seong, et al.. (2018). Metabolomic Analyses Reveal Extensive Progenitor Cell Deficiencies in a Mouse Model of Duchenne Muscular Dystrophy. Metabolites. 8(4). 61–61. 23 indexed citations
16.
Cho, Dong Seong & Jason D. Doles. (2017). Single cell transcriptome analysis of muscle satellite cells reveals widespread transcriptional heterogeneity. Gene. 636. 54–63. 35 indexed citations
17.
Doles, Jason D., Mekayla A. Storer, Luca Cozzuto, Guglielmo Roma, & William M. Keyes. (2012). Age-associated inflammation inhibits epidermal stem cell function. Genes & Development. 26(19). 2144–2153. 125 indexed citations
18.
Doles, Jason D. & Michael T. Hemann. (2010). Nek4 Status Differentially Alters Sensitivity to Distinct Microtubule Poisons. Cancer Research. 70(3). 1033–1041. 32 indexed citations
19.
Doles, Jason D., et al.. (2006). Functional compensation in Hedgehog signaling during mouse prostate development. Developmental Biology. 295(1). 13–25. 66 indexed citations
20.
Lovich, Mark A., Jason D. Doles, & Robert A. Peterfreund. (2005). The Impact of Carrier Flow Rate and Infusion Set Dead-Volume on the Dynamics of Intravenous Drug Delivery. Anesthesia & Analgesia. 100(4). 1048–1055. 67 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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