Nancy E. Seidel

1.0k citations
30 papers · 839 · h-index 17

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • CRISPR and Genetic Engineering 11
    • RNA Interference and Gene Delivery 9
    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
    • Cancer-related gene regulation 4
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Virus-based gene therapy research 18
    • Animal Genetics and Reproduction 4

Nancy E. Seidel

29 papers receiving 813 citations

Peers

Nancy E. Seidel
Comparison fields: 5 of 71
  • Genetics 466
  • Hematology 107
  • Molecular Biology 615
  • Genetics 76
  • Oncology 163
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Countries citing papers authored by Nancy E. Seidel

Since Specialization
Citations

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

Fields of papers citing papers by Nancy E. Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996133
2
Survival and retrovirus infection of murine hematopoietic stem cells in vitro: effects of 5-FU and method of infection.
1991124
3 200390
4 199750
5 201445
6 200042
7 200038
8 200031
9 199428
10 201024
11 199823
12 200521
13 201019
14 199719
15 200218
16 199818
17 200117
18
Reversion of monochromosome-mediated suppression of tumorigenicity in malignant melanoma by retroviral transduction.
199616
19 200014
20 198614

About Nancy E. Seidel

Nancy E. Seidel is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Oncology and Physiology, having authored 30 papers that have together received 839 indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), CRISPR and Genetic Engineering (11 papers), RNA Interference and Gene Delivery (9 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Genetics (466 citations), Hematology (107 citations), Molecular Biology (615 citations), Genetics (76 citations) and Oncology (163 citations). Nancy E. Seidel has collaborated with scholars based in United States and Italy. Frequent co-authors include David M. Bodine, David M. Bodine, Amanda P. Cline, Kevin T. McDonagh, Arthur W. Nienhuis, Stéphane Barrette, Stacie M. Anderson, Janet L. Douglas, Robert E. Donahue and Donald Orlic. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences, Stem Cells, Molecular Therapy and Proceedings of the National Academy of Sciences.

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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