E Paucha

2.3k citations
24 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

  • Oncology top 2%
    • Polyomavirus and related diseases
    • Cancer-related Molecular Pathways
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • Polyomavirus and related diseases 11
    • CRISPR and Genetic Engineering 3
    • Viral Infectious Diseases and Gene Expression in Insects 3

E Paucha

24 papers receiving 1.8k citations

Hit Papers

Organization and expression of early genes of simian virus 40 1978 · 223 citations
223197820261994201050100150200

Peers

E Paucha
Comparison fields: 5 of 79
  • Oncology 1.2k
  • Genetics 801
  • Ophthalmology 233
  • Ecology 459
  • Molecular Biology 872
Replace R. B. Carroll with:
R. B. Carroll United States
Richard Harrop United Kingdom
Mary J. Tevethia United States
Peter Yaciuk United States
Srilata Bagchi United States
T. Durfee United States
Kathleen Rundell United States
Duncan McVey United States
B. Thimmappaya United States
James W. Lillie United States
E Paucha relative to R. B. Carroll United States R. B. Carroll's profile →
Citations per field
00.5×2.5×
R. B. Carroll · 1×
Citations per year

Countries citing papers authored by E Paucha

Since Specialization
Citations

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

Fields of papers citing papers by E Paucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E Paucha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E Paucha Line = papers co-authored together E Paucha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989447
2
Organization and expression of early genes of simian virus 40
Hit paper breakdown →
1978223
3 1989212
4 1988117
5 1979105
6 1986102
7 197894
8 197892
9 199082
10 198879
11 198578
12 197860
13 198053
14 199146
15 197440
16 197836
17 198829
18 198028
19 198523
20 198922

About E Paucha

E Paucha is a scholar working on Oncology, Molecular Biology, Ecology, Genetics and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (11 papers), Bacteriophages and microbial interactions (10 papers), Virus-based gene therapy research (9 papers), Plant Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infections and Immunology Research (4 papers), CRISPR and Genetic Engineering (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Oncology (1.2k citations), Genetics (801 citations), Ophthalmology (233 citations), Ecology (459 citations) and Molecular Biology (872 citations). E Paucha has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alan E. Smith, John W. Ludlow, James A. DeCaprio, Chun‐Ming Huang, W H Lee, R Smith, Robert F. Harvey, Daniel Kalderon, David M. Livingston and Erika Marsilio. Their work appears in journals such as Journal of Virology, Cell, Virology, The EMBO Journal and Molecular and Cellular Biology.

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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