Daniel York

889 citations
30 papers · 609 · h-index 13

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Glioma Diagnosis and Treatment

Papers in

    • Hedgehog Signaling Pathway Studies 4
    • Epigenetics and DNA Methylation 4
    • Virus-based gene therapy research 4
    • Forensic and Genetic Research 3
    • Genetic diversity and population structure 3

Daniel York

28 papers receiving 593 citations

Peers

Daniel York
Comparison fields: 5 of 84
  • Genetics 250
  • Small Animals 47
  • Genetics 50
  • Equine 7
  • Pulmonary and Respiratory Medicine 130
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Citations per field
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Citations per year

Countries citing papers authored by Daniel York

Since Specialization
Citations

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

Fields of papers citing papers by Daniel York

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polymorphic Alu insertions and the Asian origin of Native American populations.
199895
2 201583
3 201858
4 201151
5 201642
6 201837
7 202029
8 201527
9 201126
10 201920
11 201818
12 201518
13 202114
14 201712
15 200010
16 20169
17 20228
18 19998
19
02. Brooding in the Malayan pit viper, Caloselasma rhodostoma temperature, relative humidity, and defensive behaviour
19887
20 20177

About Daniel York

Daniel York is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 609 indexed citations. Recurring topics across this work include Veterinary Oncology Research (8 papers), Hedgehog Signaling Pathway Studies (4 papers), Virus-based gene therapy research (4 papers), Epigenetics and DNA Methylation (4 papers), Forensic and Genetic Research (3 papers), Cancer Research and Treatments (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Genetics (250 citations), Small Animals (47 citations), Genetics (50 citations), Equine (7 citations) and Pulmonary and Respiratory Medicine (130 citations). Daniel York has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include Robert B. Rebhun, Peter J. Dickinson, Danika L. Bannasch, Sita S. Withers, René J. Herrera, W. Douglas Scheer, Richard A. LeCouteur, Juan J. Yunis, Prescott L. Deininger and Mark Stoneking. Their work appears in journals such as Veterinary and Comparative Oncology, PLoS Genetics, Genes, GeroScience and Journal of Biogeography.

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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