Frank Tufaro

5.8k total citations · 1 hit paper
57 papers, 4.2k citations indexed

About

Frank Tufaro is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Frank Tufaro has authored 57 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 19 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Frank Tufaro's work include Herpesvirus Infections and Treatments (28 papers), Virus-based gene therapy research (19 papers) and Proteoglycans and glycosaminoglycans research (9 papers). Frank Tufaro is often cited by papers focused on Herpesvirus Infections and Treatments (28 papers), Virus-based gene therapy research (19 papers) and Proteoglycans and glycosaminoglycans research (9 papers). Frank Tufaro collaborates with scholars based in Canada, United States and Sweden. Frank Tufaro's co-authors include Craig McCormick, Gillian Duncan, Bruce W. Banfield, Lesley E. Esford, Diane Martindale, Michael D. Medlock, Samuel D. Rabkin, James M. Markert, William D. Hunter and Cheryl A. Palmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Frank Tufaro

56 papers receiving 4.1k citations

Hit Papers

Conditionally replicating herpes simplex virus mutant, G2... 2000 2026 2008 2017 2000 250 500 750

Peers

Frank Tufaro
Comparison fields: 5 of 105
  • Molecular Biology 1.9k
  • Genetics 1.5k
  • Epidemiology 1.4k
  • Cell Biology 871
  • Oncology 677
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Citations per field, relative to Frank Tufaro
Frank Tufaro · 1×
Citations per year, relative to Frank Tufaro
Frank Tufaro · 1×

Countries citing papers authored by Frank Tufaro

Since Specialization
Citations

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

Fields of papers citing papers by Frank Tufaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Tufaro

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Tufaro. A scholar is included among the top collaborators of Frank Tufaro 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 Frank Tufaro. Frank Tufaro 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 82
2 59
3 115
4 5
5 10
6
Conditionally replicating herpes simplex virus mutant, G207 for the treatment of malignant glioma: results of a phase I trial breakdown →
794
7 27
8 9
9 41
10 15
11 87
12 44
13 41
14 4
15 17
16 80
17 3
18 2
19 88
20 3

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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