Dan T. Gillespie

15 total papers · 676 total citations
12 papers, 433 citations indexed

About

Dan T. Gillespie is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, Dan T. Gillespie has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Statistical and Nonlinear Physics and 2 papers in Genetics. Recurrent topics in Dan T. Gillespie's work include Gene Regulatory Network Analysis (10 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Dan T. Gillespie is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Dan T. Gillespie collaborates with scholars based in United States and Canada. Dan T. Gillespie's co-authors include Linda Petzold, Yang Cao, Min K. Roh, Mustafa Khammash, Bernie J. Daigle, Kevin R. Sanft, Martin Ferguson-Pell, Patricia J. Manns and Crystal L. MacLellan and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and International Journal of Robust and Nonlinear Control.

In The Last Decade

Dan T. Gillespie

12 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan T. Gillespie 365 99 84 49 34 12 433
Shev MacNamara 241 0.7× 73 0.7× 75 0.9× 15 0.3× 27 0.8× 26 461
Sabine Hug 297 0.8× 39 0.4× 25 0.3× 11 0.2× 33 1.0× 10 447
Christian Tönsing 214 0.6× 35 0.4× 22 0.3× 20 0.4× 46 1.4× 8 389
Tianshou Zhou 228 0.6× 76 0.8× 168 2.0× 27 0.6× 42 1.2× 37 401
Mukhtar Ullah 394 1.1× 59 0.6× 18 0.2× 26 0.5× 18 0.5× 21 459
Bo Wu 348 1.0× 45 0.5× 60 0.7× 48 1.0× 8 0.2× 7 457
Srividya Iyer‐Biswas 391 1.1× 197 2.0× 68 0.8× 47 1.0× 12 0.4× 17 494
Tamara Mihaljev 281 0.8× 50 0.5× 176 2.1× 34 0.7× 57 1.7× 12 446
Ruoshi Yuan 228 0.6× 29 0.3× 144 1.7× 11 0.2× 35 1.0× 31 411
Satya N.V. Arjunan 290 0.8× 58 0.6× 11 0.1× 37 0.8× 18 0.5× 18 368

Countries citing papers authored by Dan T. Gillespie

Since Specialization
Citations

This map shows the geographic impact of Dan T. Gillespie'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 Dan T. Gillespie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan T. Gillespie more than expected).

Fields of papers citing papers by Dan T. Gillespie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan T. Gillespie. 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 Dan T. Gillespie. The network helps show where Dan T. Gillespie may publish in the future.

Co-authorship network of co-authors of Dan T. Gillespie

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

All Works

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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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