Scott Blankenship

684 total citations
18 papers, 538 citations indexed

About

Scott Blankenship is a scholar working on Nature and Landscape Conservation, Genetics and Ecology. According to data from OpenAlex, Scott Blankenship has authored 18 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 11 papers in Genetics and 10 papers in Ecology. Recurrent topics in Scott Blankenship's work include Fish Ecology and Management Studies (15 papers), Genetic diversity and population structure (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Scott Blankenship is often cited by papers focused on Fish Ecology and Management Studies (15 papers), Genetic diversity and population structure (9 papers) and Genetic and phenotypic traits in livestock (7 papers). Scott Blankenship collaborates with scholars based in United States, South Africa and Denmark. Scott Blankenship's co-authors include Gregg Schumer, Lisa W. Seeb, Shawn R. Narum, Paul Moran, John Carlos Garza, Jeff Stephenson, Michael A. Banks, Christian T. Smith, David J. Teel and Terry D. Beacham and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Scott Blankenship

18 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Blankenship United States 11 342 252 247 168 84 18 538
Andrew P. Matala United States 15 494 1.4× 194 0.8× 468 1.9× 121 0.7× 79 0.9× 30 652
Joseph Stabile United States 16 466 1.4× 236 0.9× 342 1.4× 159 0.9× 104 1.2× 25 622
Christine C. Kozfkay United States 14 542 1.6× 235 0.9× 444 1.8× 89 0.5× 81 1.0× 24 704
Lorraine Maceda United States 17 482 1.4× 270 1.1× 290 1.2× 129 0.8× 233 2.8× 30 638
Patrick W. DeHaan United States 12 391 1.1× 259 1.0× 294 1.2× 91 0.5× 30 0.4× 27 518
Camm C. Swift United States 11 226 0.7× 220 0.9× 157 0.6× 90 0.5× 115 1.4× 26 423
Christopher Habicht United States 18 477 1.4× 169 0.7× 449 1.8× 121 0.7× 128 1.5× 28 701
Gregory R. Moyer United States 16 415 1.2× 417 1.7× 297 1.2× 258 1.5× 100 1.2× 31 760
Anna Elz United States 11 186 0.5× 166 0.7× 211 0.9× 122 0.7× 71 0.8× 20 392
Meredith L. Bartron United States 13 477 1.4× 231 0.9× 322 1.3× 130 0.8× 64 0.8× 28 643

Countries citing papers authored by Scott Blankenship

Since Specialization
Citations

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

Fields of papers citing papers by Scott Blankenship

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Blankenship. 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 Scott Blankenship. The network helps show where Scott Blankenship may publish in the future.

Co-authorship network of co-authors of Scott Blankenship

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Blankenship. A scholar is included among the top collaborators of Scott Blankenship 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 Scott Blankenship. Scott Blankenship is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Blankenship, Scott, et al.. (2024). Applying parentage methods to detect gravel augmentation effects on juvenile Chinook Salmon recruitment rates. River Research and Applications. 40(5). 791–808. 1 indexed citations
2.
Blankenship, Scott, et al.. (2022). The artemis package for environmental DNA analysis in R. Environmental DNA. 4(3). 523–532. 8 indexed citations
3.
Nagarajan, Raman P., Shawn Acuña, Melinda R. Baerwald, et al.. (2022). Environmental DNA Methods for Ecological Monitoring and Biodiversity Assessment in Estuaries. Estuaries and Coasts. 45(7). 2254–2273. 51 indexed citations
4.
Januchowski‐Hartley, Stephanie, Sukhmani Mantel, Jorge Celi, et al.. (2020). Small instream infrastructure: Comparative methods and evidence of environmental and ecological responses. SHILAP Revista de lepidopterología. 1(2). 16 indexed citations
5.
6.
Schumer, Gregg, et al.. (2019). Utilizing environmental DNA for fish eradication effectiveness monitoring in streams. Biological Invasions. 21(11). 3415–3426. 24 indexed citations
7.
Blankenship, Scott, et al.. (2017). Estimating number of spawning white sturgeon adults from embryo relatedness. Fisheries Management and Ecology. 24(2). 163–172. 8 indexed citations
8.
Schumer, Gregg, et al.. (2017). Evaluation and Interpretation of Genetic Effective Population Size of Delta Smelt from 2011–2014. San Francisco Estuary and Watershed Science. 15(2). 3 indexed citations
9.
Schumer, Gregg, et al.. (2016). Detection of Adult Green Sturgeon Using Environmental DNA Analysis. PLoS ONE. 11(4). e0153500–e0153500. 43 indexed citations
10.
Merz, Joseph E., et al.. (2014). Morphological Discrimination of Genetically Distinct Chinook Salmon Populations: an Example from California's Central Valley. North American Journal of Fisheries Management. 34(6). 1259–1269. 4 indexed citations
11.
Sharpe, Cameron S., et al.. (2013). Genetic‐Based Estimates of Adult Chinook Salmon Spawner Abundance from Carcass Surveys and Juvenile Out‐Migrant Traps. Transactions of the American Fisheries Society. 143(1). 55–67. 23 indexed citations
12.
Moran, Paul, David J. Teel, Michael A. Banks, et al.. (2012). Divergent life-history races do not represent Chinook salmon coast-wide: the importance of scale in Quaternary biogeography. Canadian Journal of Fisheries and Aquatic Sciences. 70(3). 415–435. 51 indexed citations
13.
Merz, Joseph E., et al.. (2012). Onset of Melanophore Patterns in the Head Region of Chinook Salmon: A Natural Marker for the Reidentification of Individual Fish. North American Journal of Fisheries Management. 32(4). 806–816. 14 indexed citations
14.
Limborg, Morten T., Scott Blankenship, Sewall F. Young, et al.. (2011). Signatures of natural selection among lineages and habitats inOncorhynchus mykiss. Ecology and Evolution. 2(1). 1–18. 48 indexed citations
15.
Blankenship, Scott, Jon E. Hess, Maureen A. Hess, et al.. (2011). Major Lineages and Metapopulations in Columbia River Oncorhynchus mykiss Are Structured by Dynamic Landscape Features and Environments. Transactions of the American Fisheries Society. 140(3). 665–684. 41 indexed citations
16.
Blankenship, Scott, et al.. (2009). Temporal Stability of Genetic Variation within Natural Populations of Summer Steelhead Receiving Mitigation Hatchery Fish. Transactions of the American Fisheries Society. 138(5). 1052–1064. 3 indexed citations
17.
Seeb, Lisa W., Michael A. Banks, Terry D. Beacham, et al.. (2007). Development of a Standardized DNA Database for Chinook Salmon. Fisheries. 32(11). 540–552. 168 indexed citations
18.
Blankenship, Scott, Bernie May, & Dennis Hedgecock. (2002). Evolution of a Perfect Simple Sequence Repeat Locus in the Context of Its Flanking Sequence. Molecular Biology and Evolution. 19(11). 1943–1951. 27 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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