Denise Petersen

1.0k citations
16 papers · 819 · h-index 12

Impact in

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

Papers in

    • Virus-based gene therapy research 10
    • RNA Interference and Gene Delivery 4
    • Cancer-related gene regulation 2
    • CRISPR and Genetic Engineering 2

Denise Petersen

16 papers receiving 797 citations

Peers

Denise Petersen
Comparison fields: 5 of 68
  • Hematology 230
  • Genetics 340
  • Genetics 101
  • Molecular Biology 494
  • Immunology 127
Replace C. Anthony Blau with:
C. Anthony Blau United States
Allen Coleman United States
Jutta Friel Germany
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Citations per field
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C. Anthony Blau · 1×
Citations per year

Countries citing papers authored by Denise Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Denise Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1996222
2 2006147
3 200598
4 199980
5 200649
6 199945
7
Transduction of green fluorescent protein increased oxidative stress and enhanced sensitivity to cytotoxic drugs in neuroblastoma cell lines.
200344
8 200340
9 200624
10 200621
11 200017
12 200715
13
Deletion within the D17S34 locus in a primitive neuroectodermal tumor.
19979
14 20024
15 20223
16
Deletion within the D17S34 Locus in a Primitive Neuroectodermal Tumor | Cancer Research
19971

About Denise Petersen

Denise Petersen is a scholar working on Genetics, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Hematology, having authored 16 papers that have together received 819 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer-related gene regulation (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), CRISPR and Genetic Engineering (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Hematology (230 citations), Genetics (340 citations), Genetics (101 citations), Molecular Biology (494 citations) and Immunology (127 citations). Denise Petersen has collaborated with scholars based in United States, Australia and Philippines. Frequent co-authors include Donald B. Kohn, GM Crooks, Karen Pepper, Xiaojin Yu, Gay M. Crooks, Catherine K. Yang, Roger P. Hollis, Ingrid Bahner, Judith C. Gasson and Denise A. Carbonaro. Their work appears in journals such as Molecular Therapy, Blood, The Journal of Immunology, Australian Journal of Rural Health and Stem Cells and Development.

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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