Avner Friedman

1.1k total citations
25 papers, 794 citations indexed

About

Avner Friedman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Avner Friedman has authored 25 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Avner Friedman's work include Mathematical Biology Tumor Growth (3 papers), Cellular Mechanics and Interactions (3 papers) and Estrogen and related hormone effects (3 papers). Avner Friedman is often cited by papers focused on Mathematical Biology Tumor Growth (3 papers), Cellular Mechanics and Interactions (3 papers) and Estrogen and related hormone effects (3 papers). Avner Friedman collaborates with scholars based in United States, Israel and United Kingdom. Avner Friedman's co-authors include Sabyasachi Biswas, Sashwati Roy, Savita Khanna, Chandan K. Sen, Yangjin Kim, Yoshikazu Giga, Syed-Rehan A. Hussain, Periannan Kuppusamy, Jaideep Banerjee and Guruguhan Meenakshisundaram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Free Radical Biology and Medicine and Journal of Theoretical Biology.

In The Last Decade

Avner Friedman

21 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avner Friedman United States 11 276 194 146 127 125 25 794
Adam L. MacLean United States 18 563 2.0× 103 0.5× 57 0.4× 161 1.3× 106 0.8× 36 1.1k
Cynthia L. Stokes United States 18 663 2.4× 74 0.4× 304 2.1× 256 2.0× 24 0.2× 30 1.5k
Patricia Parsons‐Wingerter United States 17 390 1.4× 167 0.9× 20 0.1× 146 1.1× 7 0.1× 30 1.1k
Zhike Zi Germany 16 852 3.1× 103 0.5× 70 0.5× 163 1.3× 5 0.0× 33 1.2k
Chengzhe Tian United States 10 392 1.4× 116 0.6× 10 0.1× 155 1.2× 9 0.1× 12 740
Yasir Suhail United States 13 756 2.7× 297 1.5× 16 0.1× 451 3.6× 7 0.1× 44 1.6k
Jessie Huang United States 18 370 1.3× 137 0.7× 13 0.1× 97 0.8× 5 0.0× 36 1.0k
Miguel F. Diaz United States 17 414 1.5× 89 0.5× 5 0.0× 231 1.8× 21 0.2× 38 1.4k
Kazuki Okamura Japan 16 619 2.2× 233 1.2× 5 0.0× 126 1.0× 13 0.1× 60 1.2k
Frank Tobin United States 10 434 1.6× 22 0.1× 48 0.3× 138 1.1× 13 0.1× 13 660

Countries citing papers authored by Avner Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Avner Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avner Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Avner Friedman. A scholar is included among the top collaborators of Avner Friedman 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 Avner Friedman. Avner Friedman 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.
Friedman, Avner. (2018). Cancer and the immune system. PubMed. 11(5-6). 25–32.
3.
Ledzewicz, Urszula, et al.. (2012). Mathematical Methods and Models in Biomedicine. CERN Document Server (European Organization for Nuclear Research). 36 indexed citations
4.
Vuong, Quoc C., Avner Friedman, & Jenny C. A. Read. (2012). The relative weight of shape and non-rigid motion cues in object perception: A model of the parameters underlying dynamic object discrimination. Journal of Vision. 12(3). 16–16. 5 indexed citations
5.
Green, J. E. F., Andrew P. Bassom, & Avner Friedman. (2012). A MATHEMATICAL MODEL FOR CELL-INDUCED GEL COMPACTION IN VITRO. Mathematical Models and Methods in Applied Sciences. 23(1). 127–163. 4 indexed citations
6.
Eisenberg, Marisa C., et al.. (2011). Mechanistic modeling of the effects of myoferlin on tumor cell invasion. Proceedings of the National Academy of Sciences. 108(50). 20078–20083. 79 indexed citations
7.
Schugart, Richard C., et al.. (2010). Mathematical framework for human SLE Nephritis: disease dynamics and urine biomarkers. Theoretical Biology and Medical Modelling. 7(1). 14–14. 8 indexed citations
8.
Summerfield, Taryn, et al.. (2010). Mathematical modeling of preadipocyte fate determination. Journal of Theoretical Biology. 265(1). 87–94. 9 indexed citations
9.
Biswas, Sabyasachi, Sashwati Roy, Jaideep Banerjee, et al.. (2010). Hypoxia inducible microRNA 210 attenuates keratinocyte proliferation and impairs closure in a murine model of ischemic wounds. Proceedings of the National Academy of Sciences. 107(15). 6976–6981. 225 indexed citations
10.
Liu, Xiaoping, et al.. (2009). Oxygen regulates the effective diffusion distance of nitric oxide in the aortic wall. Free Radical Biology and Medicine. 48(4). 554–559. 23 indexed citations
11.
Kim, Yangjin, Sean Lawler, Michal O. Nowicki, E. Antonio Chiocca, & Avner Friedman. (2009). A mathematical model for pattern formation of glioma cells outside the tumor spheroid core. Journal of Theoretical Biology. 260(3). 359–371. 89 indexed citations
12.
Aguda, Baltazar D., et al.. (2008). Models of Cellular Regulation. Oxford University Press eBooks. 20 indexed citations
13.
Wang, Ying, Baltazar D. Aguda, & Avner Friedman. (2007). A continuum mathematical model of endothelial layer maintenance and senescence. Theoretical Biology and Medical Modelling. 4(1). 30–30. 7 indexed citations
14.
Friedman, Avner. (2007). Can a single model explain both breast cancer and prostate cancer?. Theoretical Biology and Medical Modelling. 4(1). 28–28. 8 indexed citations
15.
Roy, Sashwati, Savita Khanna, Gayle M. Gordillo, et al.. (2007). Transcriptome-wide analysis of blood vessels laser captured from human skin and chronic wound-edge tissue. Proceedings of the National Academy of Sciences. 104(36). 14472–14477. 95 indexed citations
16.
Friedman, Avner & Baltazar D. Aguda. (2006). Cell cycle, proliferation, and cancer. Medical Entomology and Zoology. 1 indexed citations
17.
Friedman, Avner. (2005). The Estradiol-Dihydrotestosterone model of prostate cancer. Theoretical Biology and Medical Modelling. 2(1). 10–10. 10 indexed citations
18.
Griffiths, Robert, Edward T. Blake, George F. Sensabaugh, et al.. (1988). Identification of individuality using non-radioactive oligonucleotide probes to analyze enzymatically amplified polymorphic DNA sequences. Human Immunology. 23(2). 107–107. 1 indexed citations
19.
Friedman, Avner & Yoshikazu Giga. (1987). A single point blow-up for solutions of semilinear parabolic systems. 34(1). 65–79. 55 indexed citations
20.
Friedman, Avner. (1957). On the properties of a singular Sturm-Liouville equation determined by its spectral functions.. The Michigan Mathematical Journal. 4(2). 1 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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