Nancy E. Seidel

936 citations
24 papers · 783 · h-index 16

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Blood disorders and treatments
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

Nancy E. Seidel

24 papers receiving 754 citations

Peers

Nancy E. Seidel
Comparison fields: 5 of 55
  • Genetics 481
  • Hematology 109
  • Genetics 41
  • Molecular Biology 135
  • Immunology 35
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Jutta Friel Germany
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Citations per year

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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996129
2
Survival and retrovirus infection of murine hematopoietic stem cells in vitro: effects of 5-FU and method of infection.
1991118
3 200392
4 201454
5 199748
6 200046
7 200037
8 200033
9 201027
10 199823
11 200521
12 201019
13 199718
14
Reversion of monochromosome-mediated suppression of tumorigenicity in malignant melanoma by retroviral transduction.
199617
15 199817
16 200117
17 198614
18 200214
19 201210
20
The combination of IL-3 and IL-6 enhances retrovirus mediated gene transfer into hematopoietic stem cells.
19907

About Nancy E. Seidel

Nancy E. Seidel is a scholar working on Genetics, Nutrition and Dietetics, Hematology, Molecular Biology and Immunology, having authored 24 papers that have together received 783 indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Genomics and Chromatin Dynamics (3 papers), Blood disorders and treatments (2 papers), Cancer-related Molecular Pathways (1 paper), Rice Cultivation and Yield Improvement (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), T-cell and Retrovirus Studies (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Genetics (481 citations), Hematology (109 citations), Genetics (41 citations), Molecular Biology (135 citations) and Immunology (35 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, Stacie M. Anderson, Stéphane Barrette, Cynthia E. Dunbar, Donald Orlic and Robert E. Donahue. 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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