Grace E. Ungers

1.6k citations
18 papers · 1.4k · h-index 15

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • DNA Repair Mechanisms 5
    • DNA and Nucleic Acid Chemistry 4
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 4

Grace E. Ungers

17 papers receiving 1.3k citations

Peers

Grace E. Ungers
Comparison fields: 5 of 88
  • Virology 240
  • Genetics 497
  • Molecular Biology 1.0k
  • Immunology 209
  • Infectious Diseases 142
Replace Marc Lemaître with:
Marc Lemaître France
Serguei Popov United States
F Maxwell United States
M. Wintzerith France
Stéphanie Pébernard Switzerland
Ronald Mertz Germany
Patricia Jans Australia
Yoshihiro Sokawa Japan
Elizabeth Baker United States
Christopher A. Jones United States
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Citations per field
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Citations per year

Countries citing papers authored by Grace E. Ungers

Since Specialization
Citations

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

Fields of papers citing papers by Grace E. Ungers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Grace E. Ungers, 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 Grace E. Ungers Line = papers co-authored together Grace E. Ungers links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1990380
2 1999224
3 1989168
4 1991136
5 1991110
6 199079
7 198964
8 200343
9 200337
10 197635
11 196929
12 198127
13 196827
14 199024
15 199722
16 197713
17 19826
18 19861

About Grace E. Ungers

Grace E. Ungers is a scholar working on Molecular Biology, Genetics, Virology, Oncology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Virus-based gene therapy research (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), HIV Research and Treatment (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (240 citations), Genetics (497 citations), Molecular Biology (1.0k citations), Immunology (209 citations) and Infectious Diseases (142 citations). Grace E. Ungers has collaborated with scholars based in United States and Italy. Frequent co-authors include Eli Gilboa, Bruce A. Sullenger, Humilidad F. Gallardo, Petros Hantzopoulos, Barbara Hatch Rosenberg, Clayton A. Smith, Claudio Bordignon, Samuel J. Danishefsky, Urs Rutishauser and Krystyna M. Olkiewicz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nucleic Acids Research, Journal of Virology and The Journal of Immunology.

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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