James E. Parsons

1.5k total citations
28 papers, 1.1k citations indexed

About

James E. Parsons is a scholar working on Aquatic Science, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, James E. Parsons has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aquatic Science, 13 papers in Genetics and 10 papers in Nature and Landscape Conservation. Recurrent topics in James E. Parsons's work include Aquaculture Nutrition and Growth (13 papers), Fish Ecology and Management Studies (10 papers) and Aquaculture disease management and microbiota (9 papers). James E. Parsons is often cited by papers focused on Aquaculture Nutrition and Growth (13 papers), Fish Ecology and Management Studies (10 papers) and Aquaculture disease management and microbiota (9 papers). James E. Parsons collaborates with scholars based in United States, Netherlands and Finland. James E. Parsons's co-authors include Gary H. Thorgaard, Yniv Palti, Kyle E. Martin, Roger L. Vallejo, Jason P. Evenhuis, Gregory D. Wiens, Timothy D. Leeds, Guangtu Gao, James J. Nagler and Paul D. Scheerer and has published in prestigious journals such as Aquaculture, AIDS and Theoretical and Applied Genetics.

In The Last Decade

James E. Parsons

28 papers receiving 1.1k 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 E. Parsons United States 17 665 498 317 286 255 28 1.1k
Rama Bangera Norway 15 415 0.6× 403 0.8× 57 0.2× 311 1.1× 147 0.6× 23 798
Avshalom Hurvitz Israel 16 246 0.4× 267 0.5× 319 1.0× 501 1.8× 207 0.8× 28 1.0k
Ø. Lie Norway 18 573 0.9× 270 0.5× 63 0.2× 579 2.0× 368 1.4× 40 1.3k
N. Okamoto Japan 15 283 0.4× 317 0.6× 63 0.2× 509 1.8× 104 0.4× 45 857
Ming Wen China 14 254 0.4× 153 0.3× 125 0.4× 213 0.7× 54 0.2× 52 823
Jason P. Evenhuis United States 22 597 0.9× 339 0.7× 37 0.1× 825 2.9× 126 0.5× 39 1.4k
Pierpaolo Patarnello Italy 14 112 0.2× 237 0.5× 114 0.4× 342 1.2× 104 0.4× 16 634
Maria Raquel Moura Coimbra Brazil 13 331 0.5× 307 0.6× 33 0.1× 302 1.1× 69 0.3× 40 738
Mark Henryon Denmark 19 956 1.4× 255 0.5× 34 0.1× 287 1.0× 166 0.7× 52 1.4k
Vı́ctor Martı́nez Chile 16 256 0.4× 195 0.4× 46 0.1× 97 0.3× 94 0.4× 63 591

Countries citing papers authored by James E. Parsons

Since Specialization
Citations

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

Fields of papers citing papers by James E. Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Parsons

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Parsons. A scholar is included among the top collaborators of James E. Parsons 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 E. Parsons. James E. Parsons 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.
Parsons, James E.. (2019). Addressing Workforce Challenges in Healthcare Calls for Proactive Leadership. Frontiers of Health Services Management. 35(4). 11–17. 3 indexed citations
2.
Evenhuis, Jason P., Roger L. Vallejo, S. Tsuruta, et al.. (2018). Variance and covariance estimates for resistance to bacterial cold water disease and columnaris disease in two rainbow trout breeding populations1. Journal of Animal Science. 97(3). 1124–1132. 11 indexed citations
3.
Vallejo, Roger L., Jason P. Evenhuis, Guangtu Gao, et al.. (2018). Accurate genomic predictions for BCWD resistance in rainbow trout are achieved using low‐density SNP panels: Evidence that long‐range LD is a major contributing factor. Journal of Animal Breeding and Genetics. 135(4). 263–274. 78 indexed citations
4.
Vallejo, Roger L., Sixin Liu, Guangtu Gao, et al.. (2017). Similar Genetic Architecture with Shared and Unique Quantitative Trait Loci for Bacterial Cold Water Disease Resistance in Two Rainbow Trout Breeding Populations. Frontiers in Genetics. 8. 156–156. 57 indexed citations
5.
Vallejo, Roger L., Timothy D. Leeds, Guangtu Gao, et al.. (2017). Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture. Genetics Selection Evolution. 49(1). 17–17. 171 indexed citations
6.
Liu, Sixin, Yniv Palti, Kyle E. Martin, James E. Parsons, & Caird E. Rexroad. (2016). Assessment of genetic differentiation and genetic assignment of commercial rainbow trout strains using a SNP panel. Aquaculture. 468. 120–125. 14 indexed citations
7.
Sae‐Lim, Panya, Antti Kause, H.A. Mulder, et al.. (2013). Genotype-by-environment interaction of growth traits in rainbow trout (Oncorhynchus mykiss): A continental scale study1. Journal of Animal Science. 91(12). 5572–5581. 59 indexed citations
8.
Sae‐Lim, Panya, Hans Komen, Antti Kause, et al.. (2012). Enhancing selective breeding for growth, slaughter traits and overall survival in rainbow trout (Oncorhynchus mykiss). Aquaculture. 372-375. 89–96. 24 indexed citations
9.
10.
Parsons, James E., et al.. (2008). The influence of coelomic fluid on in vitro fertilization success in rainbow trout (Oncorhynchus mykiss). Aquaculture. 281(1-4). 155–157. 8 indexed citations
11.
Palti, Yniv, Jeffrey T. Silverstein, Heather L. Wieman, et al.. (2006). Evaluation of family growth response to fishmeal and gluten-based diets in rainbow trout (Oncorhynchus mykiss). Aquaculture. 255(1-4). 548–556. 57 indexed citations
12.
Krisfalusi, Michelle, et al.. (2001). Gonadal regeneration in masculinized female or steroid‐treated rainbow trout (Oncorhynchus mykiss). Journal of Experimental Zoology. 290(4). 396–401. 10 indexed citations
13.
14.
Romanowski, Barbara, et al.. (2000). Efficacy and safety of famciclovir for treating mucocutaneous herpes simplex infection in HIV-infected individuals. AIDS. 14(9). 1211–1217. 41 indexed citations
15.
Nagler, James J., James E. Parsons, & J.G. Cloud. (2000). Single pair mating indicates maternal effects on embryo survival in rainbow trout, Oncorhynchus mykiss. Aquaculture. 184(1-2). 177–183. 61 indexed citations
16.
Thorgaard, Gary H., Paul D. Scheerer, & James E. Parsons. (1985). Residual paternal inheritance in gynogenetic rainbow trout: implications for gene transfer. Theoretical and Applied Genetics. 71(1). 119–121. 48 indexed citations
17.
Parsons, James E. & Gary H. Thorgaard. (1985). Production of androgenetic diploid rainbow trout. Journal of Heredity. 76(3). 177–181. 135 indexed citations
18.
Parsons, James E. & Gary H. Thorgaard. (1984). Induced androgenesis in rainbow trout. Journal of Experimental Zoology. 231(3). 407–412. 47 indexed citations
19.
Parsons, James E., et al.. (1980). Translocation of mercury and microbial adaptation in a model aquatic system. Bulletin of Environmental Contamination and Toxicology. 25(1). 456–464. 3 indexed citations
20.
Stamm, John M., et al.. (1969). Microbiological Study of Water-Softener Resins. Applied Microbiology. 18(3). 376–386. 21 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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