John J. Viola

1.1k total citations · 1 hit paper
9 papers, 926 citations indexed

About

John J. Viola is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, John J. Viola has authored 9 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Genetics. Recurrent topics in John J. Viola's work include Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers) and Glioma Diagnosis and Treatment (2 papers). John J. Viola is often cited by papers focused on Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers) and Glioma Diagnosis and Treatment (2 papers). John J. Viola collaborates with scholars based in United States. John J. Viola's co-authors include Zvi Ram, Eric M. Oshiro, Edward H. Oldfield, R. Michael Blaese, Ya‐Wen Chiang, David Katz, Linda Muul, Gerard J. McGarrity, Hetty L. DeVroom and Kenneth W. Culver and has published in prestigious journals such as Nature Medicine, Brain Research and Journal of neurosurgery.

In The Last Decade

John J. Viola

9 papers receiving 885 citations

Hit Papers

Therapy of malignant brain tumors by intratumoral implant... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John J. Viola United States 8 507 445 223 176 160 9 926
Sara Benedetti Italy 21 340 0.7× 912 2.0× 241 1.1× 90 0.5× 232 1.4× 54 1.5k
T. D. Southgate United Kingdom 12 501 1.0× 508 1.1× 192 0.9× 46 0.3× 46 0.3× 15 820
Shin‐ichiro Hiraga Japan 24 189 0.4× 1.4k 3.1× 223 1.0× 59 0.3× 127 0.8× 44 1.9k
Jolanta Szulc Switzerland 8 420 0.8× 993 2.2× 70 0.3× 168 1.0× 151 0.9× 8 1.3k
S. Kaye Spratt United States 12 767 1.5× 797 1.8× 190 0.9× 108 0.6× 349 2.2× 12 1.2k
Lalitha R. Belur United States 17 485 1.0× 715 1.6× 108 0.5× 18 0.1× 133 0.8× 35 1.1k
Cécile Orsini France 15 363 0.7× 558 1.3× 126 0.6× 25 0.1× 112 0.7× 18 849
Armida Faella United States 10 332 0.7× 426 1.0× 108 0.5× 122 0.7× 122 0.8× 14 793
Thomas M. Lanigan United States 19 120 0.2× 420 0.9× 162 0.7× 32 0.2× 82 0.5× 31 864
K. Binley United Kingdom 11 230 0.5× 415 0.9× 79 0.4× 29 0.2× 89 0.6× 14 691

Countries citing papers authored by John J. Viola

Since Specialization
Citations

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

Fields of papers citing papers by John J. Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Viola. 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 John J. Viola. The network helps show where John J. Viola may publish in the future.

Co-authorship network of co-authors of John J. Viola

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

All Works

9 of 9 papers shown
1.
Ram, Zvi, Kenneth W. Culver, Eric M. Oshiro, et al.. (1997). Therapy of malignant brain tumors by intratumoral implantation of retroviral vector-producing cells. Nature Medicine. 3(12). 1354–1361. 539 indexed citations breakdown →
2.
Viola, John J., Zvi Ram, Stuart Walbridge, et al.. (1995). Adenovirally mediated gene transfer into experimental solid brain tumors and leptomeningeal cancer cells. Journal of neurosurgery. 82(1). 70–76. 51 indexed citations
3.
Pontieri, Francesco E., John J. Viola, Louis Sokoloff, & Linda J. Porrino. (1995). Selective metabolic activation by apomorphine in striosomes of denervated striatum in MPTP-induced hemiparkinsonian monkeys. Neuroreport. 6(9). 1330–1332. 2 indexed citations
4.
Oshiro, Eric M., John J. Viola, E H Oldfield, et al.. (1995). Toxicity studies and distribution dynamics of retroviral vectors following intrathecal administration of retroviral vector-producer cells.. PubMed. 2(2). 87–95. 15 indexed citations
5.
Viola, John J., Riad Agbaria, Stuart Walbridge, et al.. (1995). In situ cyclopentenyl cytosine infusion for the treatment of experimental brain tumors.. PubMed. 55(6). 1306–9. 29 indexed citations
6.
Ram, Zvi, Stuart Walbridge, Eric M. Oshiro, et al.. (1994). Growth inhibition, tumor maturation, and extended survival in experimental brain tumors in rats treated with phenylacetate.. PubMed. 54(11). 2923–7. 41 indexed citations
7.
Ram, Zvi, Stuart Walbridge, Eric M. Oshiro, et al.. (1994). Intrathecal gene therapy for malignant leptomeningeal neoplasia.. PubMed. 54(8). 2141–5. 48 indexed citations
8.
Porrino, Linda J., John J. Viola, Alison M. Crane, & Francesco E. Pontieri. (1991). Alterations in opiate receptor binding in MPTP-induced hemiparkinsonian monkeys. Neuroscience Letters. 127(2). 155–159. 8 indexed citations
9.
Viola, John J., et al.. (1989). A 6-hydroxydopamine-induced selective parkinsonian rat model. Brain Research. 494(2). 285–293. 193 indexed citations

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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