Philip K. Maini

24.3k citations
396 papers · 16.2k indexed · 2 hit papers · h-index 66
Topics
Mathematical Biology Tumor Growth (121 papers)Cellular Mechanics and Interactions (74 papers)Gene Regulatory Network Analysis (68 papers)

In The Last Decade

Philip K. Maini

386 papers receiving 15.6k citations

Hit Papers

Cyclic dermal BMP signalling regulates stem cell activati...200820262014202020082022100200300400500

Peers

Philip K. Maini
Comparison fields: 5 of 204
  • Molecular Biology 6.3k
  • Modeling and Simulation 4.8k
  • Cell Biology 4.0k
  • Computer Networks and Communications 2.1k
  • Biomedical Engineering 2.0k
Replace Qing Nie with:
Qing Nie United States
Helen M. Byrne United Kingdom
Jonathan A. Sherratt United Kingdom
J. D. Murray United States
Ruth E. Baker United Kingdom
Douglas A. Lauffenburger United States
Sui Huang United States
Benjamin D. Simons United Kingdom
Mark A. J. Chaplain United Kingdom
Michael Simons United States
Philip K. Maini relative to Qing Nie United States Qing Nie's profile →
Citations per field
00.5×10×12.8×
Qing Nie · 1×
Citations per year

Countries citing papers authored by Philip K. Maini

Since Specialization
Citations

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

Fields of papers citing papers by Philip K. Maini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip K. Maini. 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 Philip K. Maini. The network helps show where Philip K. Maini may publish in the future.

Co-authorship network of co-authors of Philip K. Maini

This figure shows the co-authorship network connecting the top 25 collaborators of Philip K. Maini. A scholar is included among the top collaborators of Philip K. Maini 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 Philip K. Maini. Philip K. Maini 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 3
2 1
3 7
4 0
5 16
6 5
7 27
8 27
9 8
10 56
11 10
12
Local migration quantification method for scratch assays
106
13 8
14 3
15 9
16 23
17 56
18 98
19 3
20 363

About Philip K. Maini

Philip K. Maini is a scholar working on Modeling and Simulation, Cell Biology and Computer Networks and Communications, having authored 396 papers that have together received 16.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (121 papers), Cellular Mechanics and Interactions (74 papers) and Gene Regulatory Network Analysis (68 papers). The work is most often cited by research in Modeling and Simulation (4.8k citations), Cell Biology (4.0k citations) and Urology (641 citations). Philip K. Maini has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Helen M. Byrne, Ruth E. Baker, Jonathan A. Sherratt, Tomás Alarcón, Robert A. Gatenby, Eamonn A. Gaffney, Santiago Schnell, S. Jonathan Chapman, J. D. Murray and Hans G. Othmer. Their work appears in journals such as Nature, Science and Cell.

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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