J. D. Murray

149 papers receiving 10.9k citations

J. D. Murray's Hit Papers

Mathematical Biology 2003 · 1.5k citations
1.5k0+8+16Years since publication50010001.5k2.0k

Peers

J. D. Murray
Comparison fields: 5 of 203
  • Modeling and Simulation 3.4k
  • Cell Biology 2.1k
  • Statistical and Nonlinear Physics 1.2k
  • Computer Networks and Communications 2.3k
  • Numerical Analysis 473
Replace Philip K. Maini with:
Philip K. Maini United Kingdom
Jonathan A. Sherratt United Kingdom
Herbert Levine United States
Mark A. J. Chaplain United Kingdom
Hans G. Othmer United States
Michael C. Mackey Canada
Avner Friedman United States
Lee A. Segel Israel
James D. Murray United States
Thomas Hillen Canada
J. D. Murray relative to Philip K. Maini United Kingdom Philip K. Maini's profile →
Citations per field
00.5×1.7×
Philip K. Maini · 1×
Citations per year

Countries citing papers authored by J. D. Murray

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Murray. 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 J. D. Murray. The network helps show where J. D. Murray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mathematical Biology
Hit paper breakdown →
20022055
2
Mathematical Biology
Hit paper breakdown →
20031480
3 2003426
4 1983352
5 1981345
6 2000321
7 1979316
8 1990293
9 1981270
10 1989229
11 1995208
12 2002185
13 1995180
14 1965176
15 1978153
16 1993147
17 1984145
18 1996135
19 1982131
20 1996130

About J. D. Murray

J. D. Murray is a scholar working on Cell Biology, Molecular Biology, Modeling and Simulation, Computer Networks and Communications and Public Health, Environmental and Occupational Health, having authored 151 papers that have together received 11.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (32 papers), Nonlinear Dynamics and Pattern Formation (31 papers), Mathematical Biology Tumor Growth (29 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Gene Regulatory Network Analysis (13 papers), Evolution and Genetic Dynamics (11 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Slime Mold and Myxomycetes Research (8 papers). The work is most often cited by research in Modeling and Simulation (3.4k citations), Cell Biology (2.1k citations), Statistical and Nonlinear Physics (1.2k citations), Computer Networks and Communications (2.3k citations) and Numerical Analysis (473 citations). J. D. Murray has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Ellsworth C. Alvord, George Oster, Kristin R. Swanson, Jonathan A. Sherratt, Philip K. Maini, P. Holgate, Albert K. Harris, Robert T. Tranquillo, G. C. Cruywagen and Mark A. Lewis. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, SIAM Journal on Applied Mathematics, Journal of Fluid Mechanics and Mathematical Biosciences.

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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