James C. Schaff

7.0k citations
45 papers · 2.3k · h-index 24

Impact in

Papers in

    • Gene Regulatory Network Analysis 27
    • Microbial Metabolic Engineering and Bioproduction 10
    • Bioinformatics and Genomic Networks 9
    • Receptor Mechanisms and Signaling 4
    • Cell Image Analysis Techniques 8
    • Advanced Fluorescence Microscopy Techniques 6

James C. Schaff

43 papers receiving 2.3k citations

Peers

James C. Schaff
Comparison fields: 5 of 137
  • Biophysics 329
  • Modeling and Simulation 139
  • Molecular Biology 1.8k
  • Cell Biology 346
  • Aging 33
Replace Boris M. Slepchenko with:
Boris M. Slepchenko United States
Edmund J. Crampin New Zealand
Herbert M. Sauro United States
Jan Hasenauer Germany
Jeremy Gunawardena United States
Akira Funahashi Japan
Ion I. Moraru United States
Jörg Stelling Switzerland
Gary R. Mirams United Kingdom
John G. Albeck United States
James C. Schaff relative to Boris M. Slepchenko United States Boris M. Slepchenko's profile →
Citations per field
00.5×1.5×1.9×
Boris M. Slepchenko · 1×
Citations per year

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-authors

The 25 scholars most cited alongside James C. Schaff, 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 James C. Schaff Line = papers co-authored together James C. Schaff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001267
2 2008210
3 1997202
4 2003193
5 2008166
6 2002158
7 2019123
8 2000110
9 200296
10 201292
11 200778
12 199853
13 201150
14 199947
15 200046
16 201845
17 200038
18 200138
19 200237
20 201733

About James C. Schaff

James C. Schaff is a scholar working on Molecular Biology, Biophysics, Cellular and Molecular Neuroscience, Cell Biology and Modeling and Simulation, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (27 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Bioinformatics and Genomic Networks (9 papers), Cell Image Analysis Techniques (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Mathematical Biology Tumor Growth (5 papers), Photoreceptor and optogenetics research (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biophysics (329 citations), Modeling and Simulation (139 citations), Molecular Biology (1.8k citations), Cell Biology (346 citations) and Aging (33 citations). James C. Schaff has collaborated with scholars based in United States, Germany and United Kingdom. Frequent 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, Alicia E. Smith and Y. S. Choi. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Biophysical Journal, Bioinformatics, Journal of Computational Physics and IET 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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