Matthew Flickinger
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Forensic and Genetic Research
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- Cancer Genomics and Diagnostics
Papers in
-
- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 1
- Genetics 4
- Genetic Associations and Epidemiology 3
- Forensic and Genetic Research 1
- Co-authors
- Gonçalo R. Abecasis (5 shared papers)Michael Boehnke (4 shared papers)Hyun Min Kang (4 shared papers)Goo Jun (3 shared papers)Kurt N. Hetrick (1 shared paper)Kimberly F. Doheny (1 shared paper)Jane Romm (1 shared paper)Peter VandeHaar (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Genome Research (1 paper)Bioinformatics (1 paper)Psychophysiology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Matthew Flickinger
6 papers receiving 419 citations
Peers
Comparison fields: 5 of 83
- Genetics 233
- Cancer Research 63
- Molecular Biology 217
- Clinical Biochemistry 10
- Biological Psychiatry 3
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 | 205 | |
| 2 | 2021 | 135 | |
| 3 | 2020 | 30 | |
| 4 | 2015 | 29 | |
| 5 | 2014 | 21 | |
| 6 | 2022 | 1 |
About Matthew Flickinger
Matthew Flickinger is a scholar working on Molecular Biology, Genetics, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 421 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers), Forensic and Genetic Research (1 paper), Bioinformatics and Genomic Networks (1 paper), Data Analysis with R (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Genetics (233 citations), Cancer Research (63 citations), Molecular Biology (217 citations), Clinical Biochemistry (10 citations) and Biological Psychiatry (3 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, Kurt N. Hetrick, Kimberly F. Doheny, Jane Romm, Peter VandeHaar, Ryan Welch and Daniel Taliun. Their work appears in journals such as The American Journal of Human Genetics, Genome Research, Bioinformatics, Psychophysiology 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.