Kevin R. Sanft

433 citations
10 papers · 261 indexed · h-index 7

Kevin R. Sanft

9 papers receiving 257 citations

Peers

Kevin R. Sanft
Comparison fields: 5 of 63
  • Modeling and Simulation 19
  • Biophysics 18
  • Molecular Biology 214
  • Statistical and Nonlinear Physics 29
  • Genetics 49
Replace Dan T. Gillespie with:
Dan T. Gillespie United States
Stefan Hellander Sweden
Helge Hass Germany
Michael Klann Switzerland
David D. van Niekerk South Africa
Manuel Barrio-Solórzano Spain
Vassilios Sotiropoulos United States
Mukhtar Ullah Pakistan
Maya Mincheva United States
Satya N.V. Arjunan Japan
Kevin R. Sanft relative to Dan T. Gillespie United States Dan T. Gillespie's profile →
Citations per field
00.5×1.5×2.4×
Dan T. Gillespie · 1×
Citations per year

Countries citing papers authored by Kevin R. Sanft

Since Specialization
Citations

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

Fields of papers citing papers by Kevin R. Sanft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin R. Sanft. 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 Kevin R. Sanft. The network helps show where Kevin R. Sanft may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Kevin R. Sanft, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin R. Sanft Line = papers co-authored together Kevin R. Sanft links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
GillesPy2: A Biochemical Modeling Framework for Simulation Driven Biological Discovery.
20232
2 20157
3 201244
4 201169
5 201192
6 201014
7 20102
8 200923
9
Stochastic simulation and systems analysis of insulin-stimulated GLUT4 translocation
20080
10 20088

About Kevin R. Sanft

Kevin R. Sanft is a scholar working on Modeling and Simulation, Molecular Biology and Computational Theory and Mathematics, having authored 10 papers that have together received 261 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Simulation Techniques and Applications (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and thermodynamics and calorimetric analyses (1 paper). The work is most often cited by research in Modeling and Simulation (19 citations), Biophysics (18 citations) and Molecular Biology (214 citations). Kevin R. Sanft has collaborated with scholars based in United States. Frequent co-authors include Linda Petzold, Daniel T. Gillespie, Jin Fu, Min K. Roh, Edward W. Wallace, Dan T. Gillespie, Yang Cao, Francis J. Doyle, Olaf Hall-Holt and Jason E. Shoemaker. Their work appears in journals such as The Journal of Chemical Physics, Bioinformatics and BMC Systems Biology.

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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