Tamir Epstein

923 total citations
21 papers, 704 citations indexed

About

Tamir Epstein is a scholar working on Molecular Biology, Cancer Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Tamir Epstein has authored 21 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Tamir Epstein's work include Nonlinear Photonic Systems (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Mitochondrial Function and Pathology (3 papers). Tamir Epstein is often cited by papers focused on Nonlinear Photonic Systems (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Mitochondrial Function and Pathology (3 papers). Tamir Epstein collaborates with scholars based in United States, Israel and Netherlands. Tamir Epstein's co-authors include Robert A. Gatenby, Joel S. Brown, Liping Xu, Robert J. Gillies, Raoul Kopelman, Yong-Eun Koo Lee, Jay Fineberg, Alexander Khmaladze, Zhan Chen and Rebecca L. Matz and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Analytical Chemistry.

In The Last Decade

Tamir Epstein

20 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamir Epstein United States 12 337 249 107 78 75 21 704
Brant M. Kaylor United States 5 346 1.0× 291 1.2× 155 1.4× 101 1.3× 127 1.7× 17 839
Ron A. Hoebe Netherlands 20 849 2.5× 197 0.8× 323 3.0× 122 1.6× 94 1.3× 48 1.7k
Joe T. Sharick United States 10 575 1.7× 345 1.4× 304 2.8× 186 2.4× 29 0.4× 15 1.3k
Stefan Semrau Netherlands 19 989 2.9× 82 0.3× 164 1.5× 38 0.5× 123 1.6× 32 1.2k
Jennifer L. Lanzen United States 11 429 1.3× 459 1.8× 329 3.1× 137 1.8× 20 0.3× 13 1.1k
Gradimir Misevic Switzerland 16 554 1.6× 64 0.3× 102 1.0× 16 0.2× 266 3.5× 43 1.2k
Rui D. M. Travasso Portugal 18 400 1.2× 34 0.1× 153 1.4× 79 1.0× 55 0.7× 50 869
Mustafa Sarimollaoglu United States 23 278 0.8× 104 0.4× 911 8.5× 262 3.4× 73 1.0× 42 1.3k
Sean Warren United Kingdom 16 357 1.1× 76 0.3× 324 3.0× 188 2.4× 52 0.7× 41 968
John D. Andersen United States 15 216 0.6× 73 0.3× 42 0.4× 161 2.1× 163 2.2× 33 770

Countries citing papers authored by Tamir Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Tamir Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamir Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of Tamir Epstein. A scholar is included among the top collaborators of Tamir Epstein 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 Tamir Epstein. Tamir Epstein 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.
Teer, Jamie K., Kimberly A. Luddy, Jessica J. Cunningham, et al.. (2022). Evolutionary Analysis of TCGA Data Using Over- and Under- Mutated Genes Identify Key Molecular Pathways and Cellular Functions in Lung Cancer Subtypes. Cancers. 15(1). 18–18. 5 indexed citations
2.
Russell, Shonagh, Liping Xu, Yoonseok Kam, et al.. (2022). Proton export upregulates aerobic glycolysis. BMC Biology. 20(1). 163–163. 13 indexed citations
3.
Artzy‐Randrup, Yael, Tamir Epstein, Joel S. Brown, et al.. (2021). Novel evolutionary dynamics of small populations in breast cancer adjuvant and neoadjuvant therapy. npj Breast Cancer. 7(1). 26–26. 8 indexed citations
4.
Epstein, Tamir, Robert A. Gatenby, & Joel S. Brown. (2017). The Warburg effect as an adaptation of cancer cells to rapid fluctuations in energy demand. PLoS ONE. 12(9). e0185085–e0185085. 125 indexed citations
5.
Maurer, Laura L., et al.. (2016). 1,3-Dinitrobenzene neurotoxicity – Passage effect in immortalized astrocytes. NeuroToxicology. 53. 74–84. 4 indexed citations
6.
Epstein, Tamir, Liping Xu, Robert J. Gillies, & Robert A. Gatenby. (2014). Separation of metabolic supply and demand: aerobic glycolysis as a normal physiological response to fluctuating energetic demands in the membrane. Cancer & Metabolism. 2(1). 7–7. 114 indexed citations
7.
Shiraishi, Takumi, James E. Verdone, Jessie Huang, et al.. (2014). Glycolysis is the primary bioenergetic pathway for cell motility and cytoskeletal remodeling in human prostate and breast cancer cells. Oncotarget. 6(1). 130–143. 146 indexed citations
8.
Epstein, Tamir, Liping Xu, Robert J. Gillies, & Robert A. Gatenby. (2014). SU‐E‐J‐102: Separation of Metabolic Supply and Demand: From Power Grid Economics to Cancer Metabolism. Medical Physics. 41(6Part8). 179–179. 1 indexed citations
9.
Epstein, Tamir, et al.. (2013). Photothermal Therapy of Cancer Cells Mediated by Blue Hydrogel Nanoparticles. Nanomedicine. 8(10). 1577–1586. 16 indexed citations
10.
Khmaladze, Alexander, Rebecca L. Matz, Tamir Epstein, et al.. (2012). Cell volume changes during apoptosis monitored in real time using digital holographic microscopy. Journal of Structural Biology. 178(3). 270–278. 58 indexed citations
11.
Lastoskie, Christian M., et al.. (2011). Steered Molecular Dynamics Simulation of Kinesin Detachment from the Microtubule Surface. Biophysical Journal. 100(3). 194a–195a. 3 indexed citations
12.
Ray, Aniruddha, Yong-Eun Koo Lee, Tamir Epstein, Gwangseong Kim, & Raoul Kopelman. (2011). Two-photon nano-PEBBLE sensors: subcellular pH measurements. The Analyst. 136(18). 3616–3616. 44 indexed citations
13.
Epstein, Tamir, et al.. (2011). Nanoparticle PEBBLE Sensors for Quantitative Nanomolar Imaging of Intracellular Free Calcium Ions. Analytical Chemistry. 84(2). 978–986. 65 indexed citations
14.
Epstein, Tamir & Robert D. Deegan. (2010). Strip waves in vibrated shear-thickening wormlike micellar solutions. Physical Review E. 81(6). 66310–66310. 8 indexed citations
15.
Khmaladze, Alexander, Tamir Epstein, & Zhan Chen. (2010). Phase unwrapping by varying the reconstruction distance in digital holographic microscopy. Optics Letters. 35(7). 1040–1040. 13 indexed citations
16.
Khmaladze, Alexander, Rebecca L. Matz, Tamir Epstein, et al.. (2010). Digital Holographic Microscopy Study of Early Morphological Changes during Apoptosis. 21. JMA8–JMA8.
17.
Epstein, Tamir & Jay Fineberg. (2008). Necessary Conditions for Mode Interactions in Parametrically Excited Waves. Physical Review Letters. 100(13). 134101–134101. 10 indexed citations
18.
Epstein, Tamir & Jay Fineberg. (2006). Grid states and nonlinear selection in parametrically excited surface waves. Physical Review E. 73(5). 55302–55302. 16 indexed citations
19.
Epstein, Tamir & Jay Fineberg. (2005). Control and characterization of spatio-temporal disorder in parametrically excited surface waves. Pramana. 64(6). 903–913. 1 indexed citations
20.
Epstein, Tamir & Jay Fineberg. (2004). Control of Spatiotemporal Disorder in Parametrically Excited Surface Waves. Physical Review Letters. 92(24). 244502–244502. 17 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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