L. G. de Pillis

17 papers and 2.0k indexed citations i.

About

L. G. de Pillis is a scholar working on Modeling and Simulation, Molecular Biology and Immunology. According to data from OpenAlex, L. G. de Pillis has authored 17 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in L. G. de Pillis’s work include Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). L. G. de Pillis is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). L. G. de Pillis collaborates with scholars based in United States and Australia. L. G. de Pillis's co-authors include Ami Radunskaya, Wenling Gu, Charles L. Wiseman, Dann Mallet, K. Renee Fister, Arvind Murugan, Anand Murugan, James Moore, Weiqing Gu and David A. Gross and has published in prestigious journals such as Cancer Research, International Journal for Numerical Methods in Engineering and Journal of Theoretical Biology.

In The Last Decade

Co-authorship network of co-authors of L. G. de Pillis i

Fields of papers citing papers by L. G. de Pillis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. G. de Pillis. 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 L. G. de Pillis. The network helps show where L. G. de Pillis may publish in the future.

Countries citing papers authored by L. G. de Pillis

Since Specialization
Citations

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

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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