Martin A. Prusinkiewicz

703 total citations
21 papers, 492 citations indexed

About

Martin A. Prusinkiewicz is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Martin A. Prusinkiewicz has authored 21 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Oncology. Recurrent topics in Martin A. Prusinkiewicz's work include Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and RNA modifications and cancer (4 papers). Martin A. Prusinkiewicz is often cited by papers focused on Virus-based gene therapy research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and RNA modifications and cancer (4 papers). Martin A. Prusinkiewicz collaborates with scholars based in Canada and United States. Martin A. Prusinkiewicz's co-authors include Joe S. Mymryk, James Hubbard, Subrata Ghosh, Gilaad G. Kaplan, Remo Panaccione, Christopher Ma, Paul L. Beck, Andrew Fong, Shanika de Silva and Anthony R. MacLean and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and PLoS Genetics.

In The Last Decade

Martin A. Prusinkiewicz

21 papers receiving 491 citations

Peers

Martin A. Prusinkiewicz
Comparison fields: 5 of 84
  • Genetics 207
  • Epidemiology 179
  • Molecular Biology 146
  • Surgery 111
  • Oncology 101
Replace Fotini Debonera with:
Fotini Debonera United States
Steven Polyak United States
Linda C. Rogers United States
Maren Stahl Germany
Anna Di Lonardo Italy
Jingjing Bao China
Anna Löfgren‐Burström Sweden
Sara Martina Parigi Italy
Giuseppe Privitera Italy
Fotini Debonera United States View profile →
Citations per field, relative to Martin A. Prusinkiewicz
Martin A. Prusinkiewicz · 1×
Citations per year, relative to Martin A. Prusinkiewicz
Martin A. Prusinkiewicz · 1×

Countries citing papers authored by Martin A. Prusinkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Martin A. Prusinkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Prusinkiewicz. 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 Martin A. Prusinkiewicz. The network helps show where Martin A. Prusinkiewicz may publish in the future.

Co-authorship network of co-authors of Martin A. Prusinkiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Martin A. Prusinkiewicz. A scholar is included among the top collaborators of Martin A. Prusinkiewicz 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 Martin A. Prusinkiewicz. Martin A. Prusinkiewicz 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
# Work Indexed citations
1 2
2 16
3 5
4 2
5 2
6 3
7 18
8 17
9 6
10 42
11 17
12 21
13 60
14 11
15 23
16 15
17 48
18 25
19 149
20 1

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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