Daniel Garrigan

2.9k total citations
33 papers, 2.0k citations indexed

About

Daniel Garrigan is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Daniel Garrigan has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 11 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Daniel Garrigan's work include Genetic diversity and population structure (21 papers), Evolution and Genetic Dynamics (13 papers) and Forensic and Genetic Research (7 papers). Daniel Garrigan is often cited by papers focused on Genetic diversity and population structure (21 papers), Evolution and Genetic Dynamics (13 papers) and Forensic and Genetic Research (7 papers). Daniel Garrigan collaborates with scholars based in United States, Israel and France. Daniel Garrigan's co-authors include Philip W. Hedrick, Michael F. Hammer, Sarah B. Kingan, Anthony J. Geneva, Daven C. Presgraves, Jason A. Wilder, Scott V. Edwards, Peter Andolfatto, Kevin Thornton and Zahra Mobasher and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and Genetics.

In The Last Decade

Daniel Garrigan

33 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Garrigan United States 25 1.2k 506 406 296 249 33 2.0k
Brigitte Crouau‐Roy France 26 719 0.6× 550 1.1× 456 1.1× 356 1.2× 428 1.7× 85 2.1k
A. K. Roychoudhury India 9 1.4k 1.2× 605 1.2× 89 0.2× 212 0.7× 259 1.0× 26 2.0k
Priya Moorjani United States 18 2.3k 1.9× 770 1.5× 85 0.2× 162 0.5× 211 0.8× 30 3.0k
Alan N. Wilton Australia 31 979 0.8× 448 0.9× 326 0.8× 129 0.4× 707 2.8× 56 2.3k
James N. Derr United States 26 1.1k 0.9× 522 1.0× 60 0.1× 152 0.5× 586 2.4× 76 1.8k
Sridhar Kudaravalli United States 7 2.8k 2.2× 1.3k 2.6× 210 0.5× 100 0.3× 116 0.5× 8 4.0k
Jaime Gongora Australia 19 504 0.4× 296 0.6× 103 0.3× 104 0.4× 285 1.1× 55 1.2k
Christian Pitra Germany 28 1.1k 0.9× 578 1.1× 62 0.2× 218 0.7× 693 2.8× 59 2.1k
Audrey M. Southwick United States 6 1.6k 1.3× 914 1.8× 96 0.2× 187 0.6× 185 0.7× 7 2.5k
Amit Indap United States 13 1.9k 1.6× 1.1k 2.1× 137 0.3× 116 0.4× 110 0.4× 14 2.7k

Countries citing papers authored by Daniel Garrigan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Garrigan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Garrigan. A scholar is included among the top collaborators of Daniel Garrigan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Garrigan. Daniel Garrigan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ruby, J. Graham, Kevin M. Wright, Kristin A. Rand, et al.. (2018). Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating. Genetics. 210(3). 1109–1124. 123 indexed citations
3.
Geneva, Anthony J., Christina A. Muirhead, Sarah B. Kingan, & Daniel Garrigan. (2015). A New Method to Scan Genomes for Introgression in a Secondary Contact Model. PLoS ONE. 10(4). e0118621–e0118621. 36 indexed citations
4.
Vedanayagam, Jeffrey & Daniel Garrigan. (2015). The effects of natural selection across molecular pathways in Drosophila melanogaster. BMC Evolutionary Biology. 15(1). 203–203. 3 indexed citations
5.
Garrigan, Daniel, Sarah B. Kingan, Anthony J. Geneva, Jeffrey Vedanayagam, & Daven C. Presgraves. (2014). Genome Diversity and Divergence in Drosophila mauritiana : Multiple Signatures of Faster X Evolution. Genome Biology and Evolution. 6(9). 2444–2458. 47 indexed citations
6.
Garrigan, Daniel. (2013). POPBAM: Tools for Evolutionary Analysis of Short Read Sequence Alignments. Evolutionary Bioinformatics. 9. 343–53. 13 indexed citations
7.
Kingan, Sarah B., et al.. (2013). A Selective Sweep across Species Boundaries in Drosophila. Molecular Biology and Evolution. 30(9). 2177–2186. 34 indexed citations
8.
Garrigan, Daniel, Sarah B. Kingan, Anthony J. Geneva, et al.. (2012). Genome sequencing reveals complex speciation in the Drosophila simulans clade. Genome Research. 22(8). 1499–1511. 162 indexed citations
9.
Shpak, Max, John Wakeley, Daniel Garrigan, & Richard C Lewontin. (2009). A STRUCTURED COALESCENT PROCESS FOR SEASONALLY FLUCTUATING POPULATIONS. Evolution. 64(5). 1395–409. 11 indexed citations
10.
Garrigan, Daniel. (2009). Composite likelihood estimation of demographic parameters. BMC Genetics. 10(1). 72–72. 12 indexed citations
11.
Garrigan, Daniel, Richard C Lewontin, & John Wakeley. (2009). Measuring the Sensitivity of Single-locus "Neutrality Tests" Using a Direct Perturbation Approach. Molecular Biology and Evolution. 27(1). 73–89. 22 indexed citations
12.
Garrigan, Daniel & Michael F. Hammer. (2006). Reconstructing human origins in the genomic era. Nature Reviews Genetics. 7(9). 669–680. 161 indexed citations
13.
Behar, Doron M., Michael F. Hammer, Daniel Garrigan, et al.. (2004). MtDNA evidence for a genetic bottleneck in the early history of the Ashkenazi Jewish population. European Journal of Human Genetics. 12(5). 355–364. 73 indexed citations
14.
Behar, Doron M., Daniel Garrigan, Matthew E. Kaplan, et al.. (2004). Contrasting patterns of Y chromosome variation in Ashkenazi Jewish and host non-Jewish European populations. Human Genetics. 114(4). 354–365. 65 indexed citations
15.
Garrigan, Daniel & Philip W. Hedrick. (2003). PERSPECTIVE: DETECTING ADAPTIVE MOLECULAR POLYMORPHISM: LESSONS FROM THE MHC. Evolution. 57(8). 1707–1722. 395 indexed citations
16.
Garrigan, Daniel & Philip W. Hedrick. (2003). PERSPECTIVE: DETECTING ADAPTIVE MOLECULAR POLYMORPHISM: LESSONS FROM THE MHC. Evolution. 57(8). 1707–1707. 45 indexed citations
17.
Hedrick, Philip W., et al.. (2002). Major histocompatibility complex variation in red wolves: evidence for common ancestry with coyotes and balancing selection. Molecular Ecology. 11(10). 1905–1913. 87 indexed citations
18.
Gutiérrez‐Espeleta, Gustavo A., Philip W. Hedrick, Steven T. Kalinowski, Daniel Garrigan, & Walter M. Boyce. (2001). Is the decline of desert bighorn sheep from infectious disease the result of low MHC variation?. Heredity. 86(4). 439–450. 91 indexed citations
19.
Edwards, Scott V., Joe Gasper, Daniel Garrigan, Duane W. Martindale, & Ben F. Koop. (2000). A 39-kb Sequence Around a Blackbird Mhc Class II Gene: Ghost of Selection Past and Songbird Genome Architecture. Molecular Biology and Evolution. 17(9). 1384–1395. 39 indexed citations
20.
Edwards, Scott V., et al.. (1999). Toward an evolutionary genomics of the avian Mhc. Immunological Reviews. 167(1). 119–132. 52 indexed citations

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.

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