Matthew Flickinger
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Forensic and Genetic Research
- Genomic variations and chromosomal abnormalities
- Genetic Mapping and Diversity in Plants and Animals
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- Cancer Genomics and Diagnostics
Papers in
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 1
- Forensic and Genetic Research 1
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- Molecular Biology Techniques and Applications 3
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 2
- Co-authors
- Gonçalo R. Abecasis (5 shared papers)Michael Boehnke (4 shared papers)Hyun Min Kang (4 shared papers)Goo Jun (3 shared papers)Kimberly F. Doheny (1 shared paper)Kurt N. Hetrick (1 shared paper)Jane Romm (1 shared paper)Andrew P. Boughton (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Bioinformatics (1 paper)Psychophysiology (1 paper)Genome Research (1 paper)PubMed (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Matthew Flickinger
6 papers receiving 446 citations
Matthew Flickinger's Hit Papers
Peers
Comparison fields: 5 of 84
- Genetics 220
- Cancer Research 56
- Molecular Biology 189
- Clinical Biochemistry 7
- Nephrology 6
Countries citing papers authored by Matthew Flickinger
This map shows the geographic impact of Matthew Flickinger'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 Matthew Flickinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Flickinger more than expected).
Fields of papers citing papers by Matthew Flickinger
This network shows the impact of papers produced by Matthew Flickinger. 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 Matthew Flickinger. The network helps show where Matthew Flickinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Flickinger, 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 | 2012 | 215 | |
| 2 | LocusZoom.js: interactive and embeddable visualization of genetic association study results Hit paper breakdown → | 2021 | 145 |
| 3 | 2020 | 36 | |
| 4 | 2015 | 30 | |
| 5 | 2014 | 22 | |
| 6 | 2022 | 1 |
About Matthew Flickinger
Matthew Flickinger is a scholar working on Genetics, Molecular Biology, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 449 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Molecular Biology Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers), Research Data Management Practices (1 paper), Scientific Computing and Data Management (1 paper), Genomics and Rare Diseases (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Genetics (220 citations), Cancer Research (56 citations), Molecular Biology (189 citations), Clinical Biochemistry (7 citations) and Nephrology (6 citations). Matthew Flickinger has collaborated with scholars based in United States and Poland. Frequent co-authors include Gonçalo R. Abecasis, Michael Boehnke, Hyun Min Kang, Goo Jun, Kimberly F. Doheny, Kurt N. Hetrick, Jane Romm, Andrew P. Boughton, Ryan Welch and Peter VandeHaar. Their work appears in journals such as The American Journal of Human Genetics, Bioinformatics, Psychophysiology, Genome Research and PubMed.
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.