Daniel Garrigan
Impact in
Papers in
- Genetics 25
- Genetic diversity and population structure 21
- Evolution and Genetic Dynamics 13
- Forensic and Genetic Research 7
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- Genomics and Phylogenetic Studies 6
- Molecular Biology Techniques and Applications 2
- Co-authors
- Philip W. Hedrick (6 shared papers)Michael F. Hammer (5 shared papers)Sarah B. Kingan (10 shared papers)Anthony J. Geneva (5 shared papers)Daven C. Presgraves (3 shared papers)Jason A. Wilder (4 shared papers)Scott V. Edwards (3 shared papers)Andrew G. Clark (1 shared paper)
- Journals
- Genetics (6 papers)Molecular Biology and Evolution (4 papers)Evolution (3 papers)G3 Genes Genomes Genetics (2 papers)Animal Conservation (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Daniel Garrigan
33 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 118
- Genetics 1.2k
- Aging 67
- Immunology 406
- Ecology, Evolution, Behavior and Systematics 296
- Microbiology 93
Countries citing papers authored by Daniel Garrigan
This map shows the geographic impact of Daniel Garrigan'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 Garrigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Garrigan more than expected).
Fields of papers citing papers by Daniel Garrigan
This network shows the impact of papers produced by Daniel Garrigan. 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 Garrigan. The network helps show where Daniel Garrigan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Garrigan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 395 | |
| 2 | 2012 | 162 | |
| 3 | 2006 | 161 | |
| 4 | 2018 | 123 | |
| 5 | 2001 | 91 | |
| 6 | 2002 | 87 | |
| 7 | 2004 | 73 | |
| 8 | 2003 | 68 | |
| 9 | 2004 | 65 | |
| 10 | 2005 | 55 | |
| 11 | DETECTING ADAPTIVE MOLECULAR POLYMORPHISM: LESSONS FROM THE MHC | 2003 | 55 |
| 12 | 2007 | 54 | |
| 13 | 1999 | 52 | |
| 14 | 2018 | 50 | |
| 15 | 2001 | 48 | |
| 16 | 2014 | 47 | |
| 17 | 2003 | 45 | |
| 18 | 2004 | 44 | |
| 19 | 2000 | 39 | |
| 20 | 2015 | 36 |
About Daniel Garrigan
Daniel Garrigan is a scholar working on Genetics, Molecular Biology, Plant Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Evolution and Genetic Dynamics (13 papers), Forensic and Genetic Research (7 papers), Chromosomal and Genetic Variations (7 papers), Genomics and Phylogenetic Studies (6 papers), T-cell and B-cell Immunology (4 papers), Birth, Development, and Health (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Genetics (1.2k citations), Aging (67 citations), Immunology (406 citations), Ecology, Evolution, Behavior and Systematics (296 citations) and Microbiology (93 citations). Daniel Garrigan has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Philip W. Hedrick, Michael F. Hammer, Sarah B. Kingan, Anthony J. Geneva, Daven C. Presgraves, Jason A. Wilder, Scott V. Edwards, Andrew G. Clark, Zahra Mobasher and Peter Andolfatto. Their work appears in journals such as Genetics, Molecular Biology and Evolution, Evolution, G3 Genes Genomes Genetics and Animal Conservation.
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.