Daniel Dvorkin
Impact in
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
- High Altitude and Hypoxia
- Speech and Hearing top 10%
- Dysphagia Assessment and Management
Papers in
- Genetics 6
- High Altitude and Hypoxia 2
- Genetic and phenotypic traits in livestock 2
- Genetic Associations and Epidemiology 2
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 1
- Co-authors
- Yang Da (2 shared papers)John Garbe (2 shared papers)Hakizumwami Birali Runesha (1 shared paper)Li Ma (1 shared paper)Shengwen Wang (1 shared paper)Li Ma (2 shared papers)Lawrence Hunter (1 shared paper)Karin Verspoor (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Statistical Applications in Genetics and Molecular Biology (1 paper)Bioinformatics (1 paper)Artificial Intelligence in Medicine (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesIranAustralia
In The Last Decade
Daniel Dvorkin
13 papers receiving 374 citations
Peers
Comparison fields: 5 of 65
- Genetics 182
- Speech and Hearing 23
- Cancer Research 38
- Agronomy and Crop Science 21
- Molecular Biology 127
Countries citing papers authored by Daniel Dvorkin
This map shows the geographic impact of Daniel Dvorkin'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 Dvorkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dvorkin more than expected).
Fields of papers citing papers by Daniel Dvorkin
This network shows the impact of papers produced by Daniel Dvorkin. 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 Dvorkin. The network helps show where Daniel Dvorkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dvorkin, 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 | 2016 | 102 | |
| 2 | 2008 | 90 | |
| 3 | 2006 | 50 | |
| 4 | 2012 | 46 | |
| 5 | 2009 | 33 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 9 | |
| 9 | 2007 | 8 | |
| 10 | 2013 | 5 | |
| 11 | 2014 | 1 | |
| 12 | 2005 | 1 | |
| 13 | 2021 | 1 |
About Daniel Dvorkin
Daniel Dvorkin is a scholar working on Genetics, Molecular Biology, Speech and Hearing, Physiology and Cancer Research, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), High Altitude and Hypoxia (2 papers), Dysphagia Assessment and Management (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Associations and Epidemiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Genetics (182 citations), Speech and Hearing (23 citations), Cancer Research (38 citations), Agronomy and Crop Science (21 citations) and Molecular Biology (127 citations). Daniel Dvorkin has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Yang Da, John Garbe, Hakizumwami Birali Runesha, Li Ma, Shengwen Wang, Yang Da, Li Ma, Lawrence Hunter, Karin Verspoor and Kevin Bretonnel Cohen. Their work appears in journals such as BMC Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Bioinformatics, Artificial Intelligence in Medicine and Cell Systems.
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.