P. K. Maini

52 total papers · 821 total citations
30 papers, 589 citations indexed

About

P. K. Maini is a scholar working on Molecular Biology, Modeling and Simulation and Cell Biology. According to data from OpenAlex, P. K. Maini has authored 30 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Modeling and Simulation and 8 papers in Cell Biology. Recurrent topics in P. K. Maini's work include Mathematical Biology Tumor Growth (12 papers), Gene Regulatory Network Analysis (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). P. K. Maini is often cited by papers focused on Mathematical Biology Tumor Growth (12 papers), Gene Regulatory Network Analysis (6 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). P. K. Maini collaborates with scholars based in United Kingdom, Slovakia and United States. P. K. Maini's co-authors include E. J. Crampin, Eamonn A. Gaffney, Mary R. Myerscough, Jonathan A. Sherratt, Douglas M. Benson, K. H. Winters, Ramón G. Plaza, Pablo Padilla, J. A. H. Murray and Rafael A. Barrio and has published in prestigious journals such as Science, Trends in Biochemical Sciences and Journal of Theoretical Biology.

In The Last Decade

P. K. Maini

26 papers receiving 560 citations

Author Peers

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

Author Last Decade Papers Cites
P. K. Maini 210 198 190 141 114 30 589
E. J. Crampin 115 0.5× 212 1.1× 220 1.2× 87 0.6× 93 0.8× 13 555
G. C. Cruywagen 386 1.8× 126 0.6× 83 0.4× 157 1.1× 79 0.7× 22 674
Bogdan Kaźmierczak 166 0.8× 259 1.3× 84 0.4× 146 1.0× 87 0.8× 60 597
Evgeniy Khain 221 1.1× 136 0.7× 48 0.3× 126 0.9× 64 0.6× 34 630
Sandip Kar 41 0.2× 283 1.4× 146 0.8× 34 0.2× 35 0.3× 36 500
M.J. Vilela 219 1.0× 253 1.3× 14 0.1× 140 1.0× 32 0.3× 19 541
Wing-Cheong Lo 98 0.5× 400 2.0× 22 0.1× 184 1.3× 45 0.4× 42 618
Eiríkur Pálsson 194 0.9× 166 0.8× 34 0.2× 276 2.0× 20 0.2× 10 536
Xiaojing Ren 88 0.4× 275 1.4× 19 0.1× 42 0.3× 33 0.3× 29 531
Stefan Reinker 27 0.1× 377 1.9× 105 0.6× 148 1.0× 23 0.2× 10 634

Countries citing papers authored by P. K. Maini

Since Specialization
Citations

This map shows the geographic impact of P. 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 P. 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 P. K. Maini more than expected).

Fields of papers citing papers by P. K. Maini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. K. Maini. A scholar is included among the top collaborators of P. 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 P. K. Maini. P. K. Maini 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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