Steven R. Fain

1.7k total citations
31 papers, 1.1k citations indexed

About

Steven R. Fain is a scholar working on Ecology, Genetics and Molecular Biology. According to data from OpenAlex, Steven R. Fain has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 14 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Steven R. Fain's work include Genetic diversity and population structure (13 papers), Wildlife Ecology and Conservation (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Steven R. Fain is often cited by papers focused on Genetic diversity and population structure (13 papers), Wildlife Ecology and Conservation (10 papers) and Genetic and phenotypic traits in livestock (6 papers). Steven R. Fain collaborates with scholars based in United States, Canada and Germany. Steven R. Fain's co-authors include Axel Janke, Frank Hailer, Verena E. Kutschera, Gary M. Koehler, G G Cadd, Samuel K. Wasser, Björn M. Hallström, Tobias Bidon, Steven N. Murray and Úlfur Árnason and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Conservation Biology.

In The Last Decade

Steven R. Fain

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven R. Fain United States 17 727 582 290 170 128 31 1.1k
Verena E. Kutschera Germany 17 375 0.5× 426 0.7× 243 0.8× 108 0.6× 207 1.6× 30 939
Juliana A. Vianna Chile 17 590 0.8× 327 0.6× 202 0.7× 62 0.4× 162 1.3× 66 949
Αristeidis Parmakelis Greece 22 417 0.6× 519 0.9× 258 0.9× 70 0.4× 245 1.9× 75 1.2k
Tania M. King New Zealand 17 400 0.6× 482 0.8× 107 0.4× 127 0.7× 153 1.2× 38 915
Kathleen Helm‐Bychowski United States 6 508 0.7× 910 1.6× 637 2.2× 76 0.4× 264 2.1× 6 1.4k
Eli Knispel Rueness Norway 18 696 1.0× 538 0.9× 210 0.7× 32 0.2× 155 1.2× 26 1.1k
Luise Kruckenhauser Austria 18 520 0.7× 381 0.7× 202 0.7× 37 0.2× 297 2.3× 48 980
Zoltán T. Nagy Belgium 16 307 0.4× 302 0.5× 201 0.7× 190 1.1× 223 1.7× 25 850
Jennifer E. Buhay United States 13 1.2k 1.6× 505 0.9× 455 1.6× 228 1.3× 402 3.1× 14 1.8k
Gontran Sonet Belgium 21 497 0.7× 523 0.9× 374 1.3× 209 1.2× 514 4.0× 52 1.4k

Countries citing papers authored by Steven R. Fain

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. Fain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Fain. 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 Steven R. Fain. The network helps show where Steven R. Fain may publish in the future.

Co-authorship network of co-authors of Steven R. Fain

This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Fain. A scholar is included among the top collaborators of Steven R. Fain 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 Steven R. Fain. Steven R. Fain 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.
Jong, Menno de, Aidin Niamir, Andrew C. Kitchener, et al.. (2023). Range-wide whole-genome resequencing of the brown bear reveals drivers of intraspecies divergence. Communications Biology. 6(1). 153–153. 21 indexed citations
2.
vonHoldt, Bridgett M., Kristin E. Brzeski, Matthew L. Aardema, et al.. (2021). Persistence and expansion of cryptic endangered red wolf genomic ancestry along the American Gulf coast. Molecular Ecology. 31(21). 5440–5454. 8 indexed citations
3.
Sacks, Benjamin N., Kieren J. Mitchell, Mikkel‐Holger S. Sinding, et al.. (2021). Pleistocene origins, western ghost lineages, and the emerging phylogeographic history of the red wolf and coyote. Molecular Ecology. 30(17). 4292–4304. 13 indexed citations
4.
Ersmark, Erik, Cornelya F. C. Klütsch, Yvonne L. Chan, et al.. (2016). From the Past to the Present: Wolf Phylogeography and Demographic History Based on the Mitochondrial Control Region. Frontiers in Ecology and Evolution. 4. 41 indexed citations
5.
Kutschera, Verena E., et al.. (2014). Bears in a Forest of Gene Trees: Phylogenetic Inference Is Complicated by Incomplete Lineage Sorting and Gene Flow. Molecular Biology and Evolution. 31(8). 2004–2017. 112 indexed citations
6.
Bidon, Tobias, Axel Janke, Steven R. Fain, et al.. (2014). Brown and Polar Bear Y Chromosomes Reveal Extensive Male-Biased Gene Flow within Brother Lineages. Molecular Biology and Evolution. 31(6). 1353–1363. 41 indexed citations
7.
Bidon, Tobias, Hans Geir Eiken, Verena E. Kutschera, et al.. (2013). A sensitive and specific multiplex PCR approach for sex identification of ursine and tremarctine bears suitable for non‐invasive samples. Molecular Ecology Resources. 13(3). 362–368. 24 indexed citations
8.
Chambers, Steven M., et al.. (2012). An Account of the Taxonomy of North American Wolves From Morphological and Genetic Analyses. University of North Texas Digital Library (University of North Texas). 77(1). 1–67. 55 indexed citations
9.
Hailer, Frank, Verena E. Kutschera, Björn M. Hallström, et al.. (2012). Nuclear Genomic Sequences Reveal that Polar Bears Are an Old and Distinct Bear Lineage. Science. 336(6079). 344–347. 179 indexed citations
10.
Brown, Sarah K., et al.. (2009). Black Bear Population Genetics in California: Signatures of Population Structure, Competitive Release, and Historical Translocation. Journal of Mammalogy. 90(5). 1066–1074. 30 indexed citations
11.
Scarnecchia, Dennis L., et al.. (2008). Paddlefish Egg Deposition in the Lower Yellowstone River, Montana and North Dakota. Insecta mundi. 1 indexed citations
12.
Burnham‐Curtis, Mary K., et al.. (2002). Experimental search for forensically useful markers in the genus Scaphirhynchus. Journal of Applied Ichthyology. 18(4-6). 621–628. 6 indexed citations
13.
Scribner, Kim T., et al.. (1997). Population genetic studies of the sea otter ( Enhydra lutris ): A review and interpretation of available data. 197–208. 10 indexed citations
14.
Wasser, Samuel K., et al.. (1997). Techniques for application of faecal DNA methods to field studies of Ursids. Molecular Ecology. 6(11). 1091–1097. 209 indexed citations
15.
Alberte, R. S., et al.. (1994). Assessment of genetic diversity of seagrass populations using DNA fingerprinting: implications for population stability and management.. Proceedings of the National Academy of Sciences. 91(3). 1049–1053. 84 indexed citations
16.
Ruth, Jerry L. & Steven R. Fain. (1993). The individualization’ of large North American mammals. Birkhäuser Basel eBooks. 67. 429–436. 3 indexed citations
17.
18.
Fain, Steven R. & Louis D. Druehl. (1984). Isolation and characterization of the chloroplast DNA of Macrocystis integrifolia. Hydrobiologia. 116-117(1). 603–605. 2 indexed citations
19.
Fain, Steven R. & Steven N. Murray. (1982). EFFECTS OF LIGHT AND TEMPERATURE ON NET PHOTOSYNTHESIS AND DARK RESPIRATION OF GAMETOPHYTES AND EMBRYONIC SPOROPHYTES OF MACROCYSTIS PYRIFERA1. Journal of Phycology. 18(1). 92–98. 5 indexed citations
20.
Fain, Steven R.. (1965). Notes sur le genre Notoedres Railliet, 1893 (Sarcoptidae: Sarcoptiformes). Acarologia. 7(2). 2 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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