Daniel Taliun
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
Papers in
- Genetics 13
- Genetic Associations and Epidemiology 12
- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic Syndromes and Imprinting 2
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Peter VandeHaar (2 shared papers)Michael Boehnke (4 shared papers)Gonçalo R. Abecasis (4 shared papers)Ryan Welch (2 shared papers)Andrew P. Boughton (2 shared papers)Matthew Flickinger (1 shared paper)Cristian Pattaro (5 shared papers)J. Brent Richards (1 shared paper)
- Journals
- Bioinformatics (5 papers)The American Journal of Human Genetics (2 papers)Nucleic Acids Research (2 papers)BMC Bioinformatics (1 paper)Theoretical Population Biology (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Daniel Taliun
13 papers receiving 411 citations
Peers
Comparison fields: 5 of 93
- Genetics 220
- Cancer Research 41
- Molecular Biology 145
- Endocrinology, Diabetes and Metabolism 28
- Pathology and Forensic Medicine 29
Countries citing papers authored by Daniel Taliun
This map shows the geographic impact of Daniel Taliun'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 Taliun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Taliun more than expected).
Fields of papers citing papers by Daniel Taliun
This network shows the impact of papers produced by Daniel Taliun. 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 Taliun. The network helps show where Daniel Taliun may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Taliun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 135 | |
| 2 | 2023 | 81 | |
| 3 | 2020 | 67 | |
| 4 | 2014 | 30 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2016 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2018 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Daniel Taliun
Daniel Taliun is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 15 papers that have together received 413 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), CRISPR and Genetic Engineering (2 papers), Genetic Syndromes and Imprinting (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (220 citations), Cancer Research (41 citations), Molecular Biology (145 citations), Endocrinology, Diabetes and Metabolism (28 citations) and Pathology and Forensic Medicine (29 citations). Daniel Taliun has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Peter VandeHaar, Michael Boehnke, Gonçalo R. Abecasis, Ryan Welch, Andrew P. Boughton, Matthew Flickinger, Cristian Pattaro, J. Brent Richards, Katerina Trajanoska and Vincent Mooser. Their work appears in journals such as Bioinformatics, The American Journal of Human Genetics, Nucleic Acids Research, BMC Bioinformatics and Theoretical Population Biology.
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.