Mark A. J. Chaplain

14.8k citations
237 papers · 11.4k · h-index 59

Impact in

Papers in

Mark A. J. Chaplain

231 papers receiving 11.0k citations

Peers

Mark A. J. Chaplain
Comparison fields: 5 of 185
  • Modeling and Simulation 7.2k
  • Cell Biology 3.6k
  • Oncology 3.1k
  • Cancer Research 1.3k
  • Computational Theory and Mathematics 1.1k
Replace Philip K. Maini with:
Philip K. Maini United Kingdom
Helen M. Byrne United Kingdom
Alexander R.A. Anderson United States
Hans G. Othmer United States
Jonathan A. Sherratt United Kingdom
Vittorio Cristini United States
John Lowengrub United States
Thomas Hillen Canada
Lee A. Segel Israel
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 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995371
2 2006315
3 1999299
4 2008294
5 2005244
6 2007239
7 2006218
8 2008213
9 2006208
10 1996199
11 1996196
12 2011188
13 1996188
14 2008187
15 2001184
16 2012183
17 1993174
18 2001162
19 2009150
20 2006150

About Mark A. J. Chaplain

Mark A. J. Chaplain is a scholar working on Modeling and Simulation, Molecular Biology, Cell Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 237 papers that have together received 11.4k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (155 papers), Cancer Cells and Metastasis (61 papers), Mathematical and Theoretical Epidemiology and Ecology Models (43 papers), Cellular Mechanics and Interactions (43 papers), Evolution and Genetic Dynamics (36 papers), Microtubule and mitosis dynamics (33 papers), Gene Regulatory Network Analysis (32 papers) and Angiogenesis and VEGF in Cancer (28 papers). The work is most often cited by research in Modeling and Simulation (7.2k citations), Cell Biology (3.6k citations), Oncology (3.1k citations), Cancer Research (1.3k 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, S. R. McDougall, Ignacio Ramis-Conde, Fordyce A. Davidson and John Lowengrub. 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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