Daniel Shriner

14.0k citations
95 papers · 3.7k indexed · h-index 36
  • Virology top 0.5%
    • HIV Research and Treatment 13
  • Genetics top 1%
    • Genetic Associations and Epidemiology 42
    • Genetic Mapping and Diversity in Plants and Animals 21
    • Genetic and phenotypic traits in livestock 19
    • Genomic variations and chromosomal abnormalities 10
    • Forensic and Genetic Research 9
    • Race, Genetics, and Society 9
    • HIV/AIDS drug development and treatment 6
  • Immunology top 10%

Daniel Shriner

92 papers receiving 3.6k citations

Peers

Daniel Shriner
Comparison fields: 5 of 156
  • Virology 1.0k
  • Genetics 1.5k
  • Infectious Diseases 717
  • Business and International Management 38
  • Immunology 390
Replace Vinod Scaria with:
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Manuel Garber United States
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Citations per field
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Vinod Scaria · 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-authorship network

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
#Work
1 20251
2 20240
3 20249
4 202316
5 20219
6 20216
7 20217
8 20215
9 20198
10 201863
11 201743
12 2017141
13 20155
14 20156
15 201444
16 201210
17 200926
18 20090
19 200825
20 200735

About Daniel Shriner

Daniel Shriner is a scholar working on Virology, Genetics, Nephrology, Business and International Management and Genetics, having authored 95 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (42 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetic and phenotypic traits in livestock (19 papers), HIV Research and Treatment (13 papers), Genomic variations and chromosomal abnormalities (10 papers), Forensic and Genetic Research (9 papers), Race, Genetics, and Society (9 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (1.0k citations), Genetics (1.5k citations), Infectious Diseases (717 citations), Business and International Management (38 citations) and Immunology (390 citations). Daniel Shriner has collaborated with scholars based in United States, Brazil and United Kingdom. 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, Hanxia Huang and Jie Zhou. Their work appears in journals such as PLoS ONE, Journal of Virology, Scientific Reports, Human Molecular Genetics and BMC Genomics.

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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