Genay Pilarowski

1.7k citations
14 papers · 468 indexed · 1 hit paper · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)Genomics and Rare Diseases (4 papers)Genetics and Neurodevelopmental Disorders (4 papers)

In The Last Decade

Genay Pilarowski

13 papers receiving 458 citations

Hit Papers

Neutrophil-activating therapy for the treatment of cancer20232026202420252023255075100

Peers

Genay Pilarowski
Comparison fields: 5 of 75
  • Molecular Biology 180
  • Infectious Diseases 131
  • Genetics 106
  • Immunology 104
  • Oncology 57
Replace Daniele Barreca with:
Daniele Barreca Austria
Cecilia Hellström Sweden
Emanuela Martinuzzi France
Ankur Singh Saini United States
Adrienn Angyal United Kingdom
Sebastian Binder Germany
L. Pallavicini Italy
Baekgyu Choi South Korea
Wesley A. Cheng United States
Emily Pollock United Kingdom
Genay Pilarowski relative to Daniele Barreca Austria Daniele Barreca's profile →
Citations per field
00.5×8.5×
Daniele Barreca · 1×
Citations per year

Countries citing papers authored by Genay Pilarowski

Since Specialization
Citations

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

Fields of papers citing papers by Genay Pilarowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genay Pilarowski. 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 Genay Pilarowski. The network helps show where Genay Pilarowski may publish in the future.

Co-authorship network of co-authors of Genay Pilarowski

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1
Neutrophil-activating therapy for the treatment of cancerbreakdown →
117
2 29
3 39
4 0
5 22
6 17
7 25
8 4
9 53
10 16
11 38
12 86
13 17
14 5

About Genay Pilarowski

Genay Pilarowski is a scholar working on Modeling and Simulation, Infectious Diseases and Genetics, having authored 14 papers that have together received 468 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Genomics and Rare Diseases (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Infectious Diseases (131 citations), Modeling and Simulation (25 citations) and Immunology (104 citations). Genay Pilarowski has collaborated with scholars based in United States, Iceland and United Kingdom. Frequent co-authors include Hans T. Björnsson, Kasper D. Hansen, Hilary J. Vernon, Joel S. Benjamin, Li Zhang, Loyal A. Goff, David L. Huso, Giovanni A. Carosso, Carina Marquez and Diane V. Havlir. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Clinical Infectious Diseases.

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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