Deborah Farson

1.7k citations
14 papers · 1.4k · 1 hit paper · h-index 12

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • CRISPR and Genetic Engineering 3
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 7

Deborah Farson

13 papers receiving 1.4k citations

Deborah Farson's Hit Papers

Influence of a reconstituted basement membrane and its components on casein gene expression and secretion in mouse mammary epithelial cells. 1987 · 516 citations
5160+13+26Years since publication100200300400500

Peers

Deborah Farson
Comparison fields: 5 of 86
  • Immunology and Allergy 176
  • Genetics 539
  • Oncology 462
  • Cell Biology 215
  • Molecular Biology 778
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Pamela Hawley‐Nelson United States
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Joan B. Christensen United States
G J Dougherty Canada
Béatrice Quantin France
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Citations per field
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Citations per year

Countries citing papers authored by Deborah Farson

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Farson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Influence of a reconstituted basement membrane and its components on casein gene expression and secretion in mouse mammary epithelial cells.
Hit paper breakdown →
1987516
2 1982230
3 1994189
4 2001117
5 1997101
6
Antigen-specific cytolysis by neutrophils and NK cells expressing chimeric immune receptors bearing zeta or gamma signaling domains.
199867
7 199855
8 200453
9 197840
10 197926
11 199923
12 199415
13 20068
14 19990

About Deborah Farson

Deborah Farson is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Virology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), HIV Research and Treatment (3 papers), T-cell and B-cell Immunology (3 papers), CRISPR and Genetic Engineering (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology and Allergy (176 citations), Genetics (539 citations), Oncology (462 citations), Cell Biology (215 citations) and Molecular Biology (778 citations). Deborah Farson has collaborated with scholars based in United States and Italy. Frequent co-authors include Mina J. Bissell, Judith Aggeler, John R. Hassell, H.Glenn Hall, Lu Qin, M H Finer, Donna O. Bunch, G. Greenburg, Ryan McGuinness and Michael T. Kelly. Their work appears in journals such as The Journal of Gene Medicine, Blood, Proceedings of the National Academy of Sciences, Molecular Therapy 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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