Lee E. Babiss

2.6k citations
55 papers · 2.3k · h-index 24

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • DNA and Nucleic Acid Chemistry
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • RNA and protein synthesis mechanisms

Papers in

    • Virus-based gene therapy research 36
    • Viral Infectious Diseases and Gene Expression in Insects 18
    • RNA Interference and Gene Delivery 13
    • CRISPR and Genetic Engineering 5
    • RNA Research and Splicing 5

Lee E. Babiss

54 papers receiving 2.1k citations

Peers

Lee E. Babiss
Comparison fields: 5 of 92
  • Genetics 867
  • Molecular Biology 1.8k
  • Oncology 445
  • Infectious Diseases 197
  • Immunology 151
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G. Schaffner Austria
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Citations per year

Countries citing papers authored by Lee E. Babiss

Since Specialization
Citations

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

Fields of papers citing papers by Lee E. Babiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992463
2 1993146
3 1995145
4 1984138
5 1982119
6 2004117
7 1995112
8 197962
9 198356
10 198456
11 198353
12 199051
13 199548
14 198643
15 198442
16 199141
17 198537
18 198937
19 199132
20 198630

About Lee E. Babiss

Lee E. Babiss is a scholar working on Genetics, Molecular Biology, Oncology, Infectious Diseases and Cell Biology, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (36 papers), Viral Infectious Diseases and Gene Expression in Insects (18 papers), RNA Interference and Gene Delivery (13 papers), CAR-T cell therapy research (9 papers), Viral gastroenteritis research and epidemiology (8 papers), CRISPR and Genetic Engineering (5 papers), RNA Research and Splicing (5 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Genetics (867 citations), Molecular Biology (1.8k citations), Oncology (445 citations), Infectious Diseases (197 citations) and Immunology (151 citations). Lee E. Babiss has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Paul B. Fisher, H S Ginsberg, John Bisi, Michele A. Bonham, Jeffery C. Hanvey, Stephen A. Thomson, Stewart A. Noble, C. Fred Hassman, Nancy J. Peffer and David A. Bruckenstein. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Proceedings of the National Academy of Sciences, The EMBO Journal and Science.

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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