James D. Austin

2.5k total citations
102 papers, 1.9k citations indexed

About

James D. Austin is a scholar working on Ecology, Genetics and Global and Planetary Change. According to data from OpenAlex, James D. Austin has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 53 papers in Genetics and 34 papers in Global and Planetary Change. Recurrent topics in James D. Austin's work include Genetic diversity and population structure (47 papers), Wildlife Ecology and Conservation (31 papers) and Amphibian and Reptile Biology (23 papers). James D. Austin is often cited by papers focused on Genetic diversity and population structure (47 papers), Wildlife Ecology and Conservation (31 papers) and Amphibian and Reptile Biology (23 papers). James D. Austin collaborates with scholars based in United States, Canada and South Africa. James D. Austin's co-authors include Stephen C. Lougheed, Peter T. Boag, Robert J. Fletcher, Brian E. Reichert, Matthew H. Shirley, Kent A. Vliet, Andrew A. Chek, Cathryn H. Greenberg, Ellen P. Robertson and Wiley M. Kitchens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

James D. Austin

100 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Austin United States 26 881 709 606 605 384 102 1.9k
Michael R. J. Forstner United States 25 697 0.8× 545 0.8× 931 1.5× 619 1.0× 510 1.3× 143 2.1k
Claúdio Ciofi Italy 29 955 1.1× 964 1.4× 641 1.1× 688 1.1× 480 1.3× 89 2.2k
Ella Vázquez‐Domínguez Mexico 24 928 1.1× 707 1.0× 295 0.5× 399 0.7× 402 1.0× 102 1.8k
Matthew L. Niemiller United States 21 686 0.8× 574 0.8× 520 0.9× 439 0.7× 361 0.9× 89 1.7k
Travis Ingram New Zealand 23 1.1k 1.2× 692 1.0× 560 0.9× 900 1.5× 760 2.0× 62 2.4k
Brenden S. Holland United States 20 1.0k 1.2× 775 1.1× 530 0.9× 304 0.5× 618 1.6× 43 2.2k
Guillermo Velo‐Antón Portugal 27 794 0.9× 884 1.2× 930 1.5× 491 0.8× 518 1.3× 119 1.9k
Nikos Poulakakis Greece 30 685 0.8× 1.2k 1.7× 937 1.5× 352 0.6× 636 1.7× 93 2.3k
Ylenia Chiari United States 21 729 0.8× 1.1k 1.5× 929 1.5× 517 0.9× 593 1.5× 59 2.6k
J. W. Arntzen United Kingdom 26 817 0.9× 876 1.2× 1.1k 1.8× 476 0.8× 615 1.6× 46 2.0k

Countries citing papers authored by James D. Austin

Since Specialization
Citations

This map shows the geographic impact of James D. Austin'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 James D. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Austin more than expected).

Fields of papers citing papers by James D. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Austin. 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 James D. Austin. The network helps show where James D. Austin may publish in the future.

Co-authorship network of co-authors of James D. Austin

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Austin. A scholar is included among the top collaborators of James D. Austin 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 James D. Austin. James D. Austin 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
1.
Li, Xiaolong, Brandon Parker, Raoul K. Boughton, et al.. (2024). Torque Teno Sus Virus 1: A Potential Surrogate Pathogen to Study Pig-Transmitted Transboundary Animal Diseases. Viruses. 16(9). 1397–1397. 2 indexed citations
2.
McCleery, Robert A., Elizabeth I. Parsons, L. Mike Conner, et al.. (2024). Genetic support for discrete conservation units of the fossorial rodent Geomys pinetis. Conservation Genetics. 25(5). 1087–1101.
3.
4.
Conner, L. Mike, Steven B. Castleberry, Elizabeth I. Parsons, et al.. (2023). Experimental translocation for restoration of an ecosystem engineer. Restoration Ecology. 31(4). 1 indexed citations
5.
Fletcher, Robert J., Jorge A. Sefair, Rodolfo Jaffé, et al.. (2022). Extending isolation by resistance to predict genetic connectivity. Methods in Ecology and Evolution. 13(11). 2463–2477. 9 indexed citations
6.
7.
Song, Jingwei, James D. Austin, & Huiping Yang. (2022). Comparative Transcriptomics of the Northern Quahog Mercenaria mercenaria and Southern Quahog Mercenaria campechiensis in Response to Chronic Heat Stress. Marine Biotechnology. 24(2). 276–292. 6 indexed citations
8.
Parsons, Elizabeth I., Robert A. Gitzen, L. Mike Conner, et al.. (2021). Determining habitat requirements for the southeastern pocket gopher (Geomys pinetis) at multiple scales. Journal of Mammalogy. 103(3). 672–679. 5 indexed citations
9.
Powell, James A., et al.. (2021). Causes of Mortality for Endangered Antillean Manatees in Cuba. Frontiers in Marine Science. 8. 6 indexed citations
10.
Murie, Debra J., et al.. (2018). Mixing rates in weakly differentiated stocks of greater amberjack (Seriola dumerili) in the Gulf of Mexico. Genetica. 146(4-5). 393–402. 6 indexed citations
11.
Johnson, Nathan A., Chase H. Smith, John M. Pfeiffer, et al.. (2018). Integrative taxonomy resolves taxonomic uncertainty for freshwater mussels being considered for protection under the U.S. Endangered Species Act. Scientific Reports. 8(1). 15892–15892. 59 indexed citations
12.
Austin, James D., et al.. (2017). Microsatellite Mutation Rate in Atlantic Sturgeon (Acipenser oxyrinchus). Journal of Heredity. 108(6). 686–692. 4 indexed citations
13.
Austin, James D., et al.. (2016). Conservation genetics of an endangered grassland butterfly ( Oarisma poweshiek ) reveals historically high gene flow despite recent and rapid range loss. Insect Conservation and Diversity. 9(6). 517–528. 15 indexed citations
14.
Fletcher, Robert J., et al.. (2016). Divergent Perspectives on Landscape Connectivity Reveal Consistent Effects from Genes to Communities. 1(2). 67–79. 98 indexed citations
15.
Hekkala, Evon, Matthew H. Shirley, George Amato, et al.. (2011). An ancient icon reveals new mysteries: mummy DNA resurrects a cryptic species within the Nile crocodile. Molecular Ecology. 20(20). 4199–4215. 124 indexed citations
16.
Austin, James D., et al.. (2009). Genetic estimates of contemporary effective population size in an endangered butterfly indicate a possible role for genetic compensation. Evolutionary Applications. 3(1). 28–39. 32 indexed citations
17.
Austin, James D. & Kelly R. Zamudio. (2008). Incongruence in the pattern and timing of intra-specific diversification in bronze frogs and bullfrogs (Ranidae). Molecular Phylogenetics and Evolution. 48(3). 1041–1053. 13 indexed citations
18.
Chek, Andrew A., James D. Austin, & Stephen C. Lougheed. (2003). Why is there a tropical-temperate disparity in the genetic diversity and taxonomy of species?. Evolutionary ecology research. 5(1). 69–77. 36 indexed citations
19.
Austin, James D.. (2002). Cryptic lineages in a small frog: the post-glacial history of the spring peeper, Pseudacris crucifer (Anura: Hylidae). Molecular Phylogenetics and Evolution. 25(2). 316–329. 96 indexed citations
20.
Austin, James D.. (2001). Food habits of the racer (Coluber constrictor mormon) in the northern part of its range. Herpetological Journal. 11(4). 151–155. 10 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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