Lisette de Pillis

578 citations
15 papers · 420 indexed · h-index 10
Topics
CAR-T cell therapy research (5 papers)Virus-based gene therapy research (4 papers)Mathematical Biology Tumor Growth (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Lisette de Pillis

15 papers receiving 396 citations

Peers

Lisette de Pillis
Comparison fields: 5 of 89
  • Modeling and Simulation 178
  • Oncology 168
  • Molecular Biology 142
  • Genetics 119
  • Immunology 90
Replace Amina Eladdadi with:
Amina Eladdadi United States
Dumitru Trucu United Kingdom
Adrianne L. Jenner Australia
Jana L. Gevertz United States
Steffen E. Eikenberry United States
Wing-Cheong Lo Hong Kong
Dann Mallet Australia
Kalet León Cuba
Zuzanna Szymańska Poland
Alec N. Woosley United States
Lisette de Pillis relative to Amina Eladdadi United States Amina Eladdadi's profile →
Citations per field
00.5×1.5×1.8×
Amina Eladdadi · 1×
Citations per year

Countries citing papers authored by Lisette de Pillis

Since Specialization
Citations

This map shows the geographic impact of Lisette 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 Lisette 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 Lisette de Pillis more than expected).

Fields of papers citing papers by Lisette de Pillis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisette de Pillis

This figure shows the co-authorship network connecting the top 25 collaborators of Lisette de Pillis. A scholar is included among the top collaborators of Lisette de Pillis 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 Lisette de Pillis. Lisette de Pillis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 22
3 16
4 16
5 47
6 7
7 3
8 4
9 49
10 69
11 21
12 7
13 32
14 116
15 10

About Lisette de Pillis

Lisette de Pillis is a scholar working on Modeling and Simulation, Immunology and Genetics, having authored 15 papers that have together received 420 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (4 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Modeling and Simulation (178 citations), Oncology (168 citations) and Architecture (7 citations). Lisette de Pillis has collaborated with scholars based in United States, South Africa and Lesotho. Frequent co-authors include Amina Eladdadi, Rachid Ouifki, Emmeline de Pillis, K. Renee Fister, James Moore, Weiqing Gu, David A. Gross, Philip K. Maini, Chae‐Ok Yun and A‐Rum Yoon. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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