Richard Ascione

827 citations
27 papers · 723 indexed · h-index 11
Topics
Animal Disease Management and Epidemiology (7 papers)Viral Infections and Immunology Research (6 papers)Virus-based gene therapy research (5 papers)
Journals
ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología

In The Last Decade

Richard Ascione

27 papers receiving 667 citations

Peers

Richard Ascione
Comparison fields: 5 of 83
  • Molecular Biology 523
  • Immunology 125
  • Oncology 107
  • Genetics 84
  • Cancer Research 49
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Citations per field
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Citations per year

Countries citing papers authored by Richard Ascione

Since Specialization
Citations

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

Fields of papers citing papers by Richard Ascione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Ascione

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Ascione. A scholar is included among the top collaborators of Richard Ascione 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 Richard Ascione. Richard Ascione 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 3
2 6
3 8
4 15
5 14
6
The ets gene family.
101
7
Molecular analysis of the ets genes and their products.
30
8 54
9
The cellular ets genes: molecular probes in human neoplasia.
1
10 1
11 181
12 3
13 6
14
Production of oncogene-specific proteins and human T-cell leukemia (lymphotropic) retrovirus (HTLV-I) envelope protein in bacteria and its potential for use in human cancers and seroepidemiological surveys.
2
15 1
16 5
17 9
18 6
19 142
20 37

About Richard Ascione

Richard Ascione is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 723 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Molecular Biology (523 citations), Immunology (125 citations) and Virology (21 citations). Richard Ascione has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Robert J. Fisher, Jacques R. Fresco, Shigeyoshi Fujiwara, T S Papas, N K Bhat, Takis S. Papas, D. Henley, Tomas Lindahl, Alexandra Adams and George F. Vande Woude. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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