Frank W. Perrella

676 citations
15 papers · 589 indexed · h-index 9
Topics
Plant biochemistry and biosynthesis (3 papers)Polyamine Metabolism and Applications (3 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
United States

In The Last Decade

Frank W. Perrella

15 papers receiving 567 citations

Peers

Frank W. Perrella
Comparison fields: 5 of 87
  • Molecular Biology 353
  • Organic Chemistry 111
  • Materials Chemistry 55
  • Oncology 52
  • Pharmacology 50
Replace R. Malathi with:
R. Malathi India
J. C. Maurizis France
Marjolein G. Broekhoven Netherlands
Yubo Zhang China
Maria Zamaraeva Uzbekistan
J. Lao United States
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Ryan D. Woodyer United States
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Citations per field
00.5×1.5×
R. Malathi · 1×
Citations per year

Countries citing papers authored by Frank W. Perrella

Since Specialization
Citations

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

Fields of papers citing papers by Frank W. Perrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank W. Perrella

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 82
2 7
3 54
4
Inhibition of dihydroorotate dehydrogenase activity by brequinar sodium.
68
5 15
6 7
7 260
8
Up regulation of the phorbol ester receptor-protein kinase C in HL-60 variant cells.
27
9 5
10 4
11 5
12 3
13
Specific high-affinity binding of the phorbol ester tumor promoter 12-O-tetradecanoylphorbol-13-acetate to isolated nuclei and nuclear macromolecules in mouse epidermis.
29
14
Spermine-induced variations in the adenosine 5'-diphosphate ribosylation patterns of nuclear proteins from rat liver and hepatoma.
13
15 10

About Frank W. Perrella

Frank W. Perrella is a scholar working on Toxicology, Biochemistry and Physiology, having authored 15 papers that have together received 589 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (3 papers), Polyamine Metabolism and Applications (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biochemistry (50 citations), Molecular Biology (353 citations) and Pharmacology (41 citations). Frank W. Perrella has collaborated with scholars based in United States. Frequent co-authors include Anthony A. Gaspari, D L Behrens, Shih-Fong Chen, R. K. Boutwell, Steven P. Seitz, Robert F. Kaltenbach, Michael A. Lea, Curtis L. Ashendel, Leila Diamond and Brian D. Hellmig. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

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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