James M. McCollum

1.4k citations
21 papers · 948 indexed · h-index 10
Topics
Gene Regulatory Network Analysis (10 papers)Single-cell and spatial transcriptomics (4 papers)Embedded Systems Design Techniques (4 papers)
Partner nations
United StatesFrance

In The Last Decade

James M. McCollum

19 papers receiving 919 citations

Peers

James M. McCollum
Comparison fields: 5 of 84
  • Molecular Biology 843
  • Genetics 213
  • Biophysics 89
  • Biomedical Engineering 86
  • Statistical and Nonlinear Physics 60
Replace Barbara Di Ventura with:
Barbara Di Ventura Germany
Yuzhen Wang China
Jonathan R. Karr United States
Michael S. Samoilov United States
Andreas Milias‐Argeitis Switzerland
Verena Wolf Germany
Grégory Batt France
Ankit Gupta Switzerland
Rui Kuang United States
Derek N. Macklin United States
James M. McCollum relative to Barbara Di Ventura Germany Barbara Di Ventura's profile →
Citations per field
00.5×2.9×
Barbara Di Ventura · 1×
Citations per year

Countries citing papers authored by James M. McCollum

Since Specialization
Citations

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

Fields of papers citing papers by James M. McCollum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. McCollum

This figure shows the co-authorship network connecting the top 25 collaborators of James M. McCollum. A scholar is included among the top collaborators of James M. McCollum 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 M. McCollum. James M. McCollum 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
#WorkIndexed citations
1 2
2 1
3 347
4 9
5 12
6 1
7 47
8 3
9 49
10
Accelerating Exact Stochastic Simulation of Biochemical Systems
2
11 8
12 224
13 42
14
Accelerating Exact Stochastic Simulation Using Reconfigurable Computing.
3
15 126
16 7
17
Accelerating Exact Stochastic Simulation
2
18 22
19
Using Reconfigurable Computing to Accelerate Simulation Applications.
1
20 39

About James M. McCollum

James M. McCollum is a scholar working on Hardware and Architecture, Management Science and Operations Research and Signal Processing, having authored 21 papers that have together received 948 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Single-cell and spatial transcriptomics (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Biophysics (89 citations), Molecular Biology (843 citations) and Genetics (213 citations). James M. McCollum has collaborated with scholars based in United States and France. Frequent co-authors include Michael L. Simpson, Chris D. Cox, Roy D. Dar, Michael S. Allen, Nagiza F. Samatova, Brandon S. Razooky, Abhyudai Singh, Leor S. Weinberger, Gregory D. Peterson and Derek Austin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026