Mark A. J. Chaplain

218 papers receiving 10.1k citations

Peers

Mark A. J. Chaplain
Comparison fields: 5 of 182
  • Modeling and Simulation 6.5k
  • Cell Biology 3.3k
  • Oncology 2.8k
  • Cancer Research 1.2k
  • Computational Theory and Mathematics 1.1k
Replace Philip K. Maini with:
Philip K. Maini United Kingdom
Helen M. Byrne United Kingdom
Jonathan A. Sherratt United Kingdom
Hans G. Othmer United States
Alexander R.A. Anderson United States
Vittorio Cristini United States
John Lowengrub United States
Lee A. Segel Israel
Thomas Hillen Canada
Qing Nie United States
Mark A. J. Chaplain relative to Philip K. Maini United Kingdom Philip K. Maini's profile →
Citations per field
00.5×1.5×
Philip K. Maini · 1×
Citations per year

Countries citing papers authored by Mark A. J. Chaplain

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. J. Chaplain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. J. Chaplain. 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 Mark A. J. Chaplain. The network helps show where Mark A. J. Chaplain may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995351
2 2006286
3 1999275
4 2008273
5 2005230
6 2007227
7 2006211
8 2008200
9 2006188
10 1996185
11 1996184
12 2011179
13 1996179
14 2012179
15 2008175
16 2001170
17 1993167
18 2001151
19 2007142
20 2009141

About Mark A. J. Chaplain

Mark A. J. Chaplain is a scholar working on Modeling and Simulation, Oncology, Cell Biology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 221 papers that have together received 10.4k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (141 papers), Cancer Cells and Metastasis (57 papers), Mathematical and Theoretical Epidemiology and Ecology Models (43 papers), Cellular Mechanics and Interactions (39 papers), Evolution and Genetic Dynamics (36 papers), Microtubule and mitosis dynamics (31 papers), Gene Regulatory Network Analysis (26 papers) and Angiogenesis and VEGF in Cancer (25 papers). The work is most often cited by research in Modeling and Simulation (6.5k citations), Cell Biology (3.3k citations), Oncology (2.8k citations), Cancer Research (1.2k citations) and Computational Theory and Mathematics (1.1k citations). Mark A. J. Chaplain has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Alexander R.A. Anderson, Helen M. Byrne, Georgios Lolas, Steven Robert McDougall, Alf Gerisch, Heiko Enderling, Ignacio Ramis-Conde, Fordyce A. Davidson, S. R. McDougall and Rui Xu. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Bulletin of Mathematical Biology, Mathematical and Computer Modelling and Applied Mathematics and Computation.

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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