Daniel Logsdon

1.8k citations
21 papers · 1.4k · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Estrogen and related hormone effects 4
    • Virus-based gene therapy research 2

Daniel Logsdon

21 papers receiving 1.4k citations

Peers

Daniel Logsdon
Comparison fields: 5 of 101
  • Cancer Research 293
  • Oncology 309
  • Health, Toxicology and Mutagenesis 151
  • Molecular Biology 691
  • Pathology and Forensic Medicine 175
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Hung‐Ming Lam United States
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Naoki Morito Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Logsdon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Logsdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007318
2 2014175
3 2011157
4 1996134
5 2007128
6
1 alpha,25-Dihydroxy-16-ene-23-yne-26,27-hexafluorocholecalciferol (Ro24-5531), a new deltanoid (vitamin D analogue) for prevention of breast cancer in the rat.
1994106
7
Chemopreventive activity of tamoxifen, N-(4-hydroxyphenyl)retinamide, and the vitamin D analogue Ro24-5531 for androgen-promoted carcinomas of the rat seminal vesicle and prostate.
199585
8 199964
9 200960
10 199431
11 199830
12 199322
13 199220
14 199220
15 200519
16 201116
17 199412
18 20089
19 19904
20 19912

About Daniel Logsdon

Daniel Logsdon is a scholar working on Molecular Biology, Genetics, Health, Toxicology and Mutagenesis, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Epigenetics and DNA Methylation (3 papers), Arsenic contamination and mitigation (2 papers), Virus-based gene therapy research (2 papers), Vitamin D Research Studies (2 papers), Toxic Organic Pollutants Impact (2 papers), Heavy Metal Exposure and Toxicity (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (293 citations), Oncology (309 citations), Health, Toxicology and Mutagenesis (151 citations), Molecular Biology (691 citations) and Pathology and Forensic Medicine (175 citations). Daniel Logsdon has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Brad St. Croix, Steven Seaman, Janine Stevens, Mi Yang, Cari Graff‐Cherry, Craig L. Driver, Diana C. Haines, Bhalchandra A. Diwan, Mario A. Anzano and Mary Beth Hilton. Their work appears in journals such as Toxicology and Applied Pharmacology, Carcinogenesis, Cancer Letters, Molecular Carcinogenesis and JNCI Journal of the National Cancer Institute.

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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