Daniel Shriner

14.1k citations
97 papers · 3.8k · h-index 36

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Genetics top 1%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic Associations and Epidemiology 40
    • Genetic Mapping and Diversity in Plants and Animals 20
    • Genetic and phenotypic traits in livestock 14
    • Forensic and Genetic Research 9
    • Race, Genetics, and Society 8
    • Genomic variations and chromosomal abnormalities 7

Daniel Shriner

94 papers receiving 3.7k citations

Peers

Daniel Shriner
Comparison fields: 5 of 151
  • Virology 967
  • Genetics 1.4k
  • Infectious Diseases 588
  • Business and International Management 37
  • Nephrology 111
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Daniel Shriner relative to David J. Munroe United States David J. Munroe's profile →
Citations per field
00.5×6.7×
David J. Munroe · 1×
Citations per year

Countries citing papers authored by Daniel Shriner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shriner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003358
2 2012341
3 2017146
4 2007119
5 2004117
6 1997117
7 2003107
8 2006100
9 200794
10 200388
11 201377
12 201076
13 201174
14 201372
15 201171
16 201969
17 200766
18 201864
19 200763
20 200461

About Daniel Shriner

Daniel Shriner is a scholar working on Genetics, Molecular Biology, Virology, Infectious Diseases and Nephrology, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (40 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Genetic and phenotypic traits in livestock (14 papers), HIV Research and Treatment (13 papers), Forensic and Genetic Research (9 papers), Race, Genetics, and Society (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (967 citations), Genetics (1.4k citations), Infectious Diseases (588 citations), Business and International Management (37 citations) and Nephrology (111 citations). Daniel Shriner has collaborated with scholars based in United States, Brazil and Nigeria. Frequent co-authors include Charles N. Rotimi, James I. Mullins, Adebowale Adeyemo, David C. Nickle, Guanjie Chen, Mark A. Jensen, Ayo P. Doumatey, Nengjun Yi, Jie Zhou and Hanxia Huang. Their work appears in journals such as PLoS ONE, Journal of Virology, Scientific Reports, BMC Genomics and Human Molecular 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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