Martin A. Prusinkiewicz

703 citations
21 papers · 492 indexed · h-index 12
Topics
Virus-based gene therapy research (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)RNA modifications and cancer (4 papers)
Journals
SHILAP Revista de lepidopterologíaGeneticsPLoS Genetics
Partner nations
CanadaUnited States

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 Nelson López-Sejas with:
Nelson López-Sejas Spain
M. Scott Killian United States
Alexandra J. Umbers Australia
Giuseppe Privitera Italy
Steven Polyak United States
Liqin Cheng China
Sara Martina Parigi Italy
Alessandra Tacconelli Italy
Craig Hill United States
Anna Löfgren‐Burström Sweden
Martin A. Prusinkiewicz relative to Nelson López-Sejas Spain Nelson López-Sejas's profile →
Citations per field
00.5×8.0×
Nelson López-Sejas · 1×
Citations per year

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
#WorkIndexed 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

About Martin A. Prusinkiewicz

Martin A. Prusinkiewicz is a scholar working on Aging, Cancer Research and Genetics, having authored 21 papers that have together received 492 indexed citations. Recurring topics across this 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). The work is most often cited by research in Aging (22 citations), Genetics (207 citations) and Epidemiology (179 citations). Martin A. Prusinkiewicz has collaborated with scholars based in Canada and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Genetics and PLoS Genetics.

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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