Daniel I. Benjamin

2.0k total citations · 1 hit paper
19 papers, 1.5k citations indexed

About

Daniel I. Benjamin is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Daniel I. Benjamin has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Daniel I. Benjamin's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Muscle Physiology and Disorders (3 papers). Daniel I. Benjamin is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Muscle Physiology and Disorders (3 papers). Daniel I. Benjamin collaborates with scholars based in United States, Belgium and Taiwan. Daniel I. Benjamin's co-authors include Daniel K. Nomura, Suneil K. Koliwad, Martín Valdearcos, Megan M. Robblee, Allison Xu, Benjamin F. Cravatt, Sharon M. Louie, Melinda M. Mulvihill, Xiao‐Dan Ji and Kunxin Luo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Daniel I. Benjamin

19 papers receiving 1.5k citations

Hit Papers

Microglia Dictate the Impact of Saturated Fat Consumption... 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
Daniel I. Benjamin United States 15 680 351 254 231 220 19 1.5k
Armando P. Signore United States 22 1.2k 1.7× 446 1.3× 132 0.5× 273 1.2× 351 1.6× 25 2.5k
Yuan Kang United States 23 756 1.1× 147 0.4× 93 0.4× 136 0.6× 114 0.5× 57 1.8k
Je‐Seong Won United States 22 821 1.2× 560 1.6× 128 0.5× 53 0.2× 165 0.8× 58 1.6k
Francisco S. Cayabyab Canada 26 935 1.4× 274 0.8× 255 1.0× 103 0.4× 96 0.4× 52 1.9k
Maurizio Cammalleri Italy 24 938 1.4× 169 0.5× 123 0.5× 103 0.4× 140 0.6× 80 2.0k
Edoardo Parrella Italy 20 695 1.0× 491 1.4× 151 0.6× 76 0.3× 137 0.6× 35 1.6k
José Antonio Rodríguez‐Navarro Spain 21 586 0.9× 550 1.6× 91 0.4× 97 0.4× 695 3.2× 37 1.8k
Francesc X. Guix Spain 18 669 1.0× 691 2.0× 117 0.5× 73 0.3× 76 0.3× 29 1.5k
Kenji Asakura Japan 21 867 1.3× 841 2.4× 72 0.3× 230 1.0× 172 0.8× 33 1.8k
Mangala M. Soundarapandian United States 15 888 1.3× 243 0.7× 114 0.4× 85 0.4× 124 0.6× 18 1.5k

Countries citing papers authored by Daniel I. Benjamin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel I. Benjamin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel I. Benjamin. 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 Daniel I. Benjamin. The network helps show where Daniel I. Benjamin may publish in the future.

Co-authorship network of co-authors of Daniel I. Benjamin

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

All Works

19 of 19 papers shown
1.
Benjamin, Daniel I., et al.. (2026). Cellular survivorship bias as a mechanistic driver of muscle stem cell aging. Science. 391(6784). 517–521. 1 indexed citations
2.
3.
Kang, Jengmin, Daniel I. Benjamin, Soochi Kim, et al.. (2024). Depletion of SAM leading to loss of heterochromatin drives muscle stem cell ageing. Nature Metabolism. 6(1). 153–168. 31 indexed citations
4.
Benjamin, Daniel I., Jamie O. Brett, Joel S. Benjamin, et al.. (2023). Multiomics reveals glutathione metabolism as a driver of bimodality during stem cell aging. Cell Metabolism. 35(3). 472–486.e6. 34 indexed citations
5.
Benjamin, Daniel I., Joel S. Benjamin, Jengmin Kang, et al.. (2022). Fasting induces a highly resilient deep quiescent state in muscle stem cells via ketone body signaling. Cell Metabolism. 34(6). 902–918.e6. 47 indexed citations
6.
Brett, Jamie O., Mika Ikeda, Marco Quarta, et al.. (2020). Exercise rejuvenates quiescent skeletal muscle stem cells in old mice through restoration of Cyclin D1. Nature Metabolism. 2(4). 307–317. 115 indexed citations
8.
Whang, Michael I., Rita M. Tavares, Daniel I. Benjamin, et al.. (2017). The Ubiquitin Binding Protein TAX1BP1 Mediates Autophagosome Induction and the Metabolic Transition of Activated T Cells. Immunity. 46(3). 405–420. 59 indexed citations
9.
Chen, Tzu-Chieh, Daniel I. Benjamin, Taiyi Kuo, et al.. (2017). The glucocorticoid-Angptl4-ceramide axis induces insulin resistance through PP2A and PKCζ. Science Signaling. 10(489). 40 indexed citations
10.
Baklanov, Mikhaı̈l R., Jean‐François de Marneffe, Daniel I. Benjamin, et al.. (2016). Influence of porosity on electrical properties of low-k dielectrics irradiated with vacuum-ultraviolet radiation. Applied Physics Letters. 109(12). 4 indexed citations
11.
Bauer, Štefan, et al.. (2016). Bypassing the Pentose Phosphate Pathway: Towards Modular Utilization of Xylose. PLoS ONE. 11(6). e0158111–e0158111. 21 indexed citations
12.
Benjamin, Daniel I., et al.. (2015). Diacylglycerol Metabolism and Signaling Is a Driving Force Underlying FASN Inhibitor Sensitivity in Cancer Cells. ACS Chemical Biology. 10(7). 1616–1623. 51 indexed citations
13.
Piano, Valentina, Daniel I. Benjamin, Sérgio Valente, et al.. (2015). Discovery of Inhibitors for the Ether Lipid-Generating Enzyme AGPS as Anti-Cancer Agents. ACS Chemical Biology. 10(11). 2589–2597. 47 indexed citations
14.
Mulvihill, Melinda M., Daniel I. Benjamin, Xiao‐Dan Ji, et al.. (2014). Metabolic Profiling Reveals PAFAH1B3 as a Critical Driver of Breast Cancer Pathogenicity. Chemistry & Biology. 21(7). 831–840. 40 indexed citations
15.
Benjamin, Daniel I., Sharon M. Louie, Melinda M. Mulvihill, et al.. (2014). Inositol Phosphate Recycling Regulates Glycolytic and Lipid Metabolism That Drives Cancer Aggressiveness. ACS Chemical Biology. 9(6). 1340–1350. 39 indexed citations
16.
Valdearcos, Martín, Megan M. Robblee, Daniel I. Benjamin, et al.. (2014). Microglia Dictate the Impact of Saturated Fat Consumption on Hypothalamic Inflammation and Neuronal Function. Cell Reports. 9(6). 2124–2138. 481 indexed citations breakdown →
17.
Benjamin, Daniel I., Alyssa J. Cozzo, Xiao‐Dan Ji, et al.. (2013). Ether lipid generating enzyme AGPS alters the balance of structural and signaling lipids to fuel cancer pathogenicity. Proceedings of the National Academy of Sciences. 110(37). 14912–14917. 171 indexed citations
18.
Benjamin, Daniel I., Benjamin F. Cravatt, & Daniel K. Nomura. (2012). Global Profiling Strategies for Mapping Dysregulated Metabolic Pathways in Cancer. Cell Metabolism. 16(5). 565–577. 101 indexed citations
19.
Piro, Justin R., Daniel I. Benjamin, James M. Duerr, et al.. (2012). A Dysregulated Endocannabinoid-Eicosanoid Network Supports Pathogenesis in a Mouse Model of Alzheimer's Disease. Cell Reports. 1(6). 617–623. 169 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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