Samuel H. Friedman

1.6k total citations
9 papers, 444 citations indexed

About

Samuel H. Friedman is a scholar working on Molecular Biology, Modeling and Simulation and Cell Biology. According to data from OpenAlex, Samuel H. Friedman has authored 9 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Modeling and Simulation and 3 papers in Cell Biology. Recurrent topics in Samuel H. Friedman's work include Mathematical Biology Tumor Growth (4 papers), Gene Regulatory Network Analysis (2 papers) and Cellular Mechanics and Interactions (2 papers). Samuel H. Friedman is often cited by papers focused on Mathematical Biology Tumor Growth (4 papers), Gene Regulatory Network Analysis (2 papers) and Cellular Mechanics and Interactions (2 papers). Samuel H. Friedman collaborates with scholars based in United States and Germany. Samuel H. Friedman's co-authors include Ahmadreza Ghaffarizadeh, Paul Macklin, Shannon M. Mumenthaler, Randy Heiland, Neil Dani, Emma Rushton, Kendal Broadie, Edwin F. Juarez, Edmond Jonckheere and Justin M. Wozniak and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and The Astrophysical Journal Supplement Series.

In The Last Decade

Samuel H. Friedman

8 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel H. Friedman United States 6 222 200 110 106 83 9 444
John Metzcar United States 5 118 0.5× 150 0.8× 83 0.8× 74 0.7× 65 0.8× 12 320
Yafei Wang China 13 264 1.2× 127 0.6× 123 1.1× 72 0.7× 63 0.8× 32 586
Walter de Back Germany 10 260 1.2× 86 0.4× 74 0.7× 118 1.1× 92 1.1× 19 558
Ignacio Ramis-Conde Spain 9 228 1.0× 319 1.6× 223 2.0× 322 3.0× 122 1.5× 13 630
Nick Jagiella Germany 5 100 0.5× 130 0.7× 69 0.6× 109 1.0× 93 1.1× 6 316
Carina M. Edwards United Kingdom 12 193 0.9× 202 1.0× 222 2.0× 231 2.2× 102 1.2× 15 616
Sabine Dormann Germany 9 153 0.7× 162 0.8× 77 0.7× 112 1.1× 55 0.7× 13 431
Benjamin Zaitlen United States 4 128 0.6× 137 0.7× 77 0.7× 129 1.2× 57 0.7× 6 307
Michael Welter Germany 9 175 0.8× 245 1.2× 125 1.1× 86 0.8× 116 1.4× 12 452
Arnaud Chauvière France 13 151 0.7× 243 1.2× 133 1.2× 173 1.6× 66 0.8× 20 450

Countries citing papers authored by Samuel H. Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel H. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel H. Friedman

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

All Works

9 of 9 papers shown
1.
Friedman, Samuel H. & Qi Han. (2020). Request and Share then Assign (RASTA): Task Assignment for Networked Multi-Robot Teams. 418–426. 1 indexed citations
2.
Ozik, Jonathan, Nicholson Collier, Justin M. Wozniak, et al.. (2018). High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow. BMC Bioinformatics. 19(S18). 483–483. 44 indexed citations
3.
Ghaffarizadeh, Ahmadreza, Randy Heiland, Samuel H. Friedman, Shannon M. Mumenthaler, & Paul Macklin. (2018). PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems. PLoS Computational Biology. 14(2). e1005991–e1005991. 257 indexed citations
4.
Ghaffarizadeh, Ahmadreza, Randy Heiland, Samuel H. Friedman, Shannon M. Mumenthaler, & Paul Macklin. (2017). PhysiCell demo: immune cells attacking a heterogeneous tumor. Figshare. 1 indexed citations
5.
Macklin, Paul, Hermann B. Frieboes, Jessica L. Sparks, et al.. (2016). Progress Towards Computational 3-D Multicellular Systems Biology. Advances in experimental medicine and biology. 936. 225–246. 26 indexed citations
6.
Juarez, Edwin F., Roy Lau, Samuel H. Friedman, et al.. (2016). Quantifying differences in cell line population dynamics using CellPD. BMC Systems Biology. 10(1). 92–92. 17 indexed citations
7.
Ghaffarizadeh, Ahmadreza, Samuel H. Friedman, & Paul Macklin. (2015). BioFVM: an efficient, parallelized diffusive transport solver for 3-D biological simulations. Bioinformatics. 32(8). 1256–1258. 55 indexed citations
8.
Friedman, Samuel H., Neil Dani, Emma Rushton, & Kendal Broadie. (2013). Fragile X mental retardation protein regulates trans-synaptic signaling inDrosophila. Disease Models & Mechanisms. 6(6). 1400–13. 40 indexed citations
9.
Heinz, Sebastian, M. Brüggen, & Samuel H. Friedman. (2011). XIM—A VIRTUAL X-RAY OBSERVATORY: INVESTIGATING THE X-RAY APPEARANCE AND LINE PROFILE FUNCTION OF VORTEX RINGS IN GALAXY CLUSTERS. The Astrophysical Journal Supplement Series. 194(2). 21–21. 3 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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