William Love

468 citations
8 papers · 353 · h-index 7

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Epigenetics and DNA Methylation 1
    • Gene expression and cancer classification 1
    • Pluripotent Stem Cells Research 1
    • Telomeres, Telomerase, and Senescence 6

William Love

8 papers receiving 345 citations

Peers

William Love
Comparison fields: 5 of 62
  • Applied Microbiology and Biotechnology 17
  • Biochemistry 45
  • Geriatrics and Gerontology 20
  • Aging 9
  • Paleontology 28
Replace Juana Pincheira with:
Juana Pincheira Chile
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Citations per field
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Citations per year

Countries citing papers authored by William Love

Since Specialization
Citations

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

Fields of papers citing papers by William Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside William Love, 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 William Love Line = papers co-authored together William Love links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007158
2 1998111
3 200821
4 200720
5
Retinoid-induced histone deacetylation inhibits telomerase activity in estrogen receptor-negative breast cancer cells.
200919
6 200814
7 20089
8
RNA gene expression signatures and DNA copy number changes in hepatocellular carcinoma formalin-fixed paraffin-embedded archived samples compared to fresh and normal tissues from the same patients
20061

About William Love

William Love is a scholar working on Molecular Biology, Physiology, Biochemistry, Pathology and Forensic Medicine and Physiology, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Retinoids in leukemia and cellular processes (4 papers), Antioxidant Activity and Oxidative Stress (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (17 citations), Biochemistry (45 citations), Geriatrics and Gerontology (20 citations), Aging (9 citations) and Paleontology (28 citations). William Love has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Trygve O. Tollefsbol, Lucy G. Andrews, Joel B. Berletch, Santosh K. Katiyar, Canhui Liu, Marta Kostrouchová, Joram Piatigorsky, Emmanuele A. Jannini, Zdeněk Kostrouch and J. E. RALL. Their work appears in journals such as International Journal of Oncology, Translational Oncology, Journal of Cellular Biochemistry, Proceedings of the National Academy of Sciences and Molecular Biotechnology.

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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