Frances E. Leland

1.9k citations
14 papers · 1.7k · h-index 12

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • Animal Genetics and Reproduction 5
    • Virus-based gene therapy research 5
    • Estrogen and related hormone effects 2
    • RNA Interference and Gene Delivery 4
    • Viral Infectious Diseases and Gene Expression in Insects 2

Frances E. Leland

14 papers receiving 1.6k citations

Peers

Frances E. Leland
Comparison fields: 5 of 81
  • Hepatology 269
  • Genetics 938
  • Molecular Biology 996
  • Hematology 126
  • Oncology 221
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J J Toole United States
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Andreas Klein Germany
Dan Eilat Israel
Zhiao Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Frances E. Leland

Since Specialization
Citations

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

Fields of papers citing papers by Frances E. Leland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1991328
2 1993259
3 1994225
4
A novel DNA-peptide complex for efficient gene transfer and expression in mammalian cells.
1996223
5 1992220
6 1992159
7 1995100
8 198261
9 195627
10 198124
11
Inhibition of experimental metastasis and extracellular matrix degradation by butanol extracts from B16-F1 murine melanoma.
198920
12 198217
13 19837
14 19826

About Frances E. Leland

Frances E. Leland is a scholar working on Genetics, Molecular Biology, Oncology, Hepatology and Cancer Research, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (5 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Estrogen and related hormone effects (2 papers), Liver physiology and pathology (2 papers), Cancer Cells and Metastasis (2 papers) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Hepatology (269 citations), Genetics (938 citations), Molecular Biology (996 citations), Hematology (126 citations) and Oncology (221 citations). Frances E. Leland has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Savio L.C. Woo, Milton J. Finegold, Mark A. Kay, Katherine P. Ponder, Gretchen Darlington, Dwight A. Bellinger, Charles N. Landen, Arthur R. Thompson, Janet L. DeMayo and Jayanta Roy Chowdhury. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Gene Therapy, The Journal of Chemical Physics, Journal of Cellular Physiology and Hepatology.

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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