Sam Gabbara

527 citations
11 papers · 457 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • DNA and Nucleic Acid Chemistry
    • Cancer-related gene regulation
    • DNA Repair Mechanisms

Papers in

    • Epigenetics and DNA Methylation 6
    • DNA and Nucleic Acid Chemistry 3
    • RNA modifications and cancer 3
    • Cancer-related gene regulation 2
    • CRISPR and Genetic Engineering 2
    • HIV Research and Treatment 6

Sam Gabbara

11 papers receiving 450 citations

Peers

Sam Gabbara
Comparison fields: 5 of 65
  • Virology 72
  • Molecular Biology 399
  • Infectious Diseases 56
  • Genetics 83
  • Ecology 27
Replace Daniel J. Krosky with:
Daniel J. Krosky United States
Yoshiyuki Kuchino Germany
Essam Karawya United States
R. Brundiers Germany
J. Brunner Switzerland
Kiyomi Tanihara Japan
Darin Vanderpool United States
Matthew W. Kellinger United States
Elizaveta S. Gromova Russia
William T. Wolfle United States
Sam Gabbara relative to Daniel J. Krosky United States Daniel J. Krosky's profile →
Citations per field
00.5×2.7×
Daniel J. Krosky · 1×
Citations per year

Countries citing papers authored by Sam Gabbara

Since Specialization
Citations

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

Fields of papers citing papers by Sam Gabbara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Sam Gabbara, 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 Sam Gabbara Line = papers co-authored together Sam Gabbara links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199581
2 199370
3 199457
4 199255
5 199940
6 199840
7 199539
8 199235
9 200222
10 199413
11 19965

About Sam Gabbara

Sam Gabbara is a scholar working on Molecular Biology, Virology, Infectious Diseases, Ecology and Genetics, having authored 11 papers that have together received 457 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Bacteriophages and microbial interactions (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Virology (72 citations), Molecular Biology (399 citations), Infectious Diseases (56 citations), Genetics (83 citations) and Ecology (27 citations). Sam Gabbara has collaborated with scholars based in United States and Russia. Frequent co-authors include Ashok S. Bhagwat, Michael Wyszynski, James A. Peliska, Donald Hupe, Tatiana S. Oretskaya, Е. А. Романова, Е. А. Кубарева, Elizaveta S. Gromova, L. M. Viranga Tillekeratne and Richard Hudson. Their work appears in journals such as Biochemistry, Nucleic Acids Research, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Biochemical Journal.

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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