Ronald A. Salerno

525 citations
15 papers · 259 indexed · h-index 8
Topics
Virus-based gene therapy research (5 papers)Computational Drug Discovery Methods (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
Partner nations
United StatesGermany

In The Last Decade

Ronald A. Salerno

14 papers receiving 222 citations

Peers

Ronald A. Salerno
Comparison fields: 5 of 56
  • Molecular Biology 101
  • Pharmacology 83
  • Genetics 56
  • Immunology 52
  • Cancer Research 49
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P. Straub United States
E. Löser Germany
B. Griniuvienė United States
Carrie E. Whitmire United States
D. Runge Germany
Ivanise Marina Moretti Rebecchi Brazil
H Melderis Germany
Angelique M. Leone United States
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Citations per field
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Citations per year

Countries citing papers authored by Ronald A. Salerno

Since Specialization
Citations

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

Fields of papers citing papers by Ronald A. Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald A. Salerno

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald A. Salerno. A scholar is included among the top collaborators of Ronald A. Salerno 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 Ronald A. Salerno. Ronald A. Salerno 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 5
2 4
3 11
4 26
5 29
6 14
7 4
8 21
9 75
10 1
11
Effect of age at treatment and dose of 3-methylcholanthrene on development of leukemia and sarcoma in AKR mice.
1
12 32
13 3
14
RNA tumor virus gs antigen and tumor induction by various doses of 3-methylcholanthrene in various strains of mice treated as weanlings.
6
15 27

About Ronald A. Salerno

Ronald A. Salerno is a scholar working on Pharmacology, Virology and Computational Theory and Mathematics, having authored 15 papers that have together received 259 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Computational Drug Discovery Methods (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (83 citations), Cancer Research (49 citations) and Virology (12 citations). Ronald A. Salerno has collaborated with scholars based in United States and Germany. Frequent co-authors include Carrie E. Whitmire, Lawrence J. Lesko, Richard E. Kouri, Robert J. Huebner, Louise S. Rabstein, M. R. Hilleman, H. C. Turner, E. Dale Lehman, Bernard Bubnis and Alan L. Gray. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Analytical Biochemistry and Experimental Biology and Medicine.

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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