Tara Cox Matise Google Scholar: h-index, Total Citations, and Citation Map
Tara Cox Matise's h-index is 55 (115 i10-index, 29,803+ total citations across 192+ publications) according to Google Scholar as of October 2026. Tara Cox Matise is affiliated with Department of Genetics, Rutgers University.
Tara Cox Matise is a researcher affiliated with Department of Genetics, Rutgers University, specializing in Human Genetics, Computational Genetics, Statistical Genetics. Their work has been cited 29,803 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tara Cox Matise's Citation Metrics
Bibliometric impact based on 192 indexed publications.
- H-Index
- 55
- i10-Index
- 115
- Total Citations
- 29,803
- Citing Countries
- 53
As of October 2026.
Tara Cox Matise has an h-index of 55 and 29,803 total citations across 192 publications, with research cited by institutions in 53 countries.
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Identification of the cystic fibrosis gene: genetic analysis
19895,844
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Tara Cox Matise's research
Tara Cox Matise is a researcher in Human Genetics, Computational Genetics and Statistical Genetics at Department of Genetics, Rutgers University. Their work has been cited 29,803 times across 192 publications (h-index 55), according to Google Scholar.
Their most-cited work, “Identification of the cystic fibrosis gene: genetic analysis” (1989), has accumulated 5,844 citations. Other influential works include “Genetic studies of body mass index yield new insights for obesity biology” (2015) with 5,643 citations and “Defining the role of common variation in the genomic and biological architecture of adult human height” (2014) with 2,348 citations.
Citations of Tara Cox Matise's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
