James C. Schaff

7.0k total citations
45 papers, 2.3k citations indexed

About

James C. Schaff is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, James C. Schaff has authored 45 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Biophysics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in James C. Schaff's work include Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Bioinformatics and Genomic Networks (9 papers). James C. Schaff is often cited by papers focused on Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Bioinformatics and Genomic Networks (9 papers). James C. Schaff collaborates with scholars based in United States, Germany and United Kingdom. James C. Schaff's co-authors include Leslie M. Loew, Boris M. Slepchenko, Ion I. Moraru, Ian G. Macara, Charles C. Fink, John H. Carson, Fei Gao, Michael L. Blinov, Y. S. Choi and Alicia E. Smith and has published in prestigious journals such as Science, Cell and The Journal of Cell Biology.

In The Last Decade

James C. Schaff

43 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James C. Schaff United States 24 1.8k 346 329 253 209 45 2.3k
Boris M. Slepchenko United States 28 1.8k 1.0× 790 2.3× 317 1.0× 269 1.1× 211 1.0× 46 2.6k
Ion I. Moraru United States 23 1.8k 1.0× 285 0.8× 207 0.6× 312 1.2× 98 0.5× 59 2.5k
John G. Albeck United States 29 3.7k 2.1× 559 1.6× 576 1.8× 254 1.0× 371 1.8× 55 4.8k
Anatoly Kiyatkin United States 25 2.0k 1.1× 424 1.2× 110 0.3× 166 0.7× 114 0.5× 38 3.0k
Edmund J. Crampin New Zealand 31 2.1k 1.2× 140 0.4× 161 0.5× 236 0.9× 529 2.5× 119 3.6k
Tau‐Mu Yi United States 18 1.5k 0.8× 149 0.4× 120 0.4× 144 0.6× 188 0.9× 40 1.8k
Jan Hasenauer Germany 31 1.7k 1.0× 126 0.4× 193 0.6× 77 0.3× 123 0.6× 144 2.7k
Aubrey V. Weigel United States 16 1.3k 0.7× 558 1.6× 352 1.1× 300 1.2× 215 1.0× 27 2.5k
Jonathan Cooper United Kingdom 21 966 0.5× 196 0.6× 114 0.3× 154 0.6× 206 1.0× 60 1.9k
James E. Ferrell United States 8 1.2k 0.7× 237 0.7× 124 0.4× 110 0.4× 72 0.3× 9 1.4k

Countries citing papers authored by James C. Schaff

Since Specialization
Citations

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

Fields of papers citing papers by James C. Schaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Schaff. 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 James C. Schaff. The network helps show where James C. Schaff may publish in the future.

Co-authorship network of co-authors of James C. Schaff

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Schaff. A scholar is included among the top collaborators of James C. Schaff 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 James C. Schaff. James C. Schaff 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.
Schaff, James C., et al.. (2025). Visualizing mechanistic models by integrating site-specific molecular details into reaction networks. Frontiers in Molecular Biosciences. 12. 1681081–1681081.
2.
Schaff, James C., Anuradha Lakshminarayana, Robert F. Murphy, et al.. (2023). SBML level 3 package: spatial processes, version 1, release 1. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 2 indexed citations
3.
Blinov, Michael L., et al.. (2017). Compartmental and Spatial Rule-Based Modeling with Virtual Cell. Biophysical Journal. 113(7). 1365–1372. 33 indexed citations
4.
Schaff, James C., Fei Gao, Ye Li, Igor L. Novak, & Boris M. Slepchenko. (2016). Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology. PLoS Computational Biology. 12(12). e1005236–e1005236. 24 indexed citations
5.
Hucka, Michael, Frank Bergmann, Andreas Dräger, et al.. (2015). Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 731–901. 5 indexed citations
6.
Cowan, Ann E., Ion I. Moraru, James C. Schaff, Boris M. Slepchenko, & Leslie M. Loew. (2012). Spatial Modeling of Cell Signaling Networks. Methods in cell biology. 110. 195–221. 92 indexed citations
7.
Brown, Sherry‐Ann, Ion I. Moraru, James C. Schaff, & Leslie M. Loew. (2011). Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling. Journal of Computational Neuroscience. 31(2). 385–400. 22 indexed citations
8.
Schaff, James C., Ann E. Cowan, Leslie M. Loew, & Ion I. Moraru. (2009). Virtual FRAP - an Experiment-Oriented Simulation Tool. Biophysical Journal. 96(3). 30a–30a. 6 indexed citations
9.
Neves, Susana R., Panayiotis Tsokas, A. Sarkar, et al.. (2008). Cell Shape and Negative Links in Regulatory Motifs Together Control Spatial Information Flow in Signaling Networks. Cell. 133(4). 666–680. 210 indexed citations
10.
Ruebenacker, Oliver, Ion I. Moraru, James C. Schaff, & Michael L. Blinov. (2007). Kinetic Modeling Using BioPAX Ontology. PubMed Central. 7. 339–348. 7 indexed citations
11.
Novak, Igor L., Fei Gao, Y. S. Choi, et al.. (2007). Diffusion on a curved surface coupled to diffusion in the volume: Application to cell biology. Journal of Computational Physics. 226(2). 1271–1290. 78 indexed citations
12.
Moraru, Ion I., James C. Schaff, & Leslie M. Loew. (2006). Think simulation - think experiment: the virtual cell paradigm. Winter Simulation Conference. 1713–1719. 3 indexed citations
13.
Moraru, Ion I., James C. Schaff, & Leslie M. Loew. (2006). Think Simulation - Think Experiment: The Virtual Cell Paradigm. 1713–1719. 2 indexed citations
14.
Slepchenko, Boris M., James C. Schaff, Ian G. Macara, & Leslie M. Loew. (2003). Quantitative cell biology with the Virtual Cell☆. Trends in Cell Biology. 13(11). 570–576. 193 indexed citations
15.
Fox, M.D., et al.. (2003). Ultrasound image deconvolution using adaptive inverse filtering. 13. 248–253. 5 indexed citations
16.
Slepchenko, Boris M., James C. Schaff, John H. Carson, & Leslie M. Loew. (2002). Computational Cell Biology: Spatiotemporal Simulation of Cellular Events. Annual Review of Biophysics and Biomolecular Structure. 31(1). 423–441. 96 indexed citations
17.
Loew, Leslie M. & James C. Schaff. (2001). The Virtual Cell: a software environment for computational cell biology. Trends in biotechnology. 19(10). 401–406. 267 indexed citations
18.
Slepchenko, Boris M., James C. Schaff, & Y. S. Choi. (2000). Numerical Approach to Fast Reactions in Reaction-Diffusion Systems: Application to Buffered Calcium Waves in Bistable Models. Journal of Computational Physics. 162(1). 186–218. 38 indexed citations
19.
Fink, Charles C., Boris M. Slepchenko, Ion I. Moraru, et al.. (2000). An Image-Based Model of Calcium Waves in Differentiated Neuroblastoma Cells. Biophysical Journal. 79(1). 163–183. 110 indexed citations
20.
Schaff, James C., Boris M. Slepchenko, & Leslie M. Loew. (2000). Physiological modeling with virtual cell framework. Methods in enzymology on CD-ROM/Methods in enzymology. 321. 1–23. 46 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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