Michele Harvey

6.9k citations
11 papers · 5.7k indexed · 1 hit paper · h-index 11
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 5
  • Biotechnology top 0.2%
    • Cancer Research and Treatments 4
    • Microbial Inactivation Methods 1
    • Hedgehog Signaling Pathway Studies 2
    • Epigenetics and DNA Methylation 2
    • Developmental Biology and Gene Regulation 2
  • Aging top 5%
    • Virus-based gene therapy research 2
    • HIV Research and Treatment 1

Michele Harvey

11 papers receiving 5.6k citations

Hit Papers

Mice deficient for p53 are developmentally normal but sus...3.8k199220262003201410002.0k3.0k

Peers

Michele Harvey
Comparison fields: 5 of 115
  • Oncology 3.7k
  • Biotechnology 1.1k
  • Cancer Research 1.0k
  • Molecular Biology 4.0k
  • Aging 89
Replace Earlene M. Schmitt with:
Earlene M. Schmitt United States
Dawn E. Quelle United States
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Jin‐Yuh Shew Taiwan
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Citations per field
00.5×1.5×
Earlene M. Schmitt · 1×
Citations per year

Countries citing papers authored by Michele Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Michele Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 199828
2 1996317
3 199668
4 1995207
5 1995192
6
Mice deficient in both p53 and Rb develop tumors primarily of endocrine origin.
1995148
7 1993441
8
In vitro growth characteristics of embryo fibroblasts isolated from p53-deficient mice.
1993415
9
Mice deficient for p53 are developmentally normal but susceptible to spontaneous tumoursbreakdown →
19923806
10 199256
11 199142

About Michele Harvey

Michele Harvey is a scholar working on Biotechnology, Developmental Neuroscience and Virology, having authored 11 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer Research and Treatments (4 papers), Virus-based gene therapy research (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Developmental Biology and Gene Regulation (2 papers), HIV Research and Treatment (1 paper) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Oncology (3.7k citations), Biotechnology (1.1k citations) and Cancer Research (1.0k citations). Michele Harvey has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Allan Bradley, Lawrence A. Donehower, Charles A. Montgomery, Mark J. McArthur, Janet S. Butel, Betty L. Slagle, Hannes Vogel, Panagiotis Pantazis, B. C. Giovanella and L A Donehower. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

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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