Fred M. Utter

7.9k citations
99 papers · 6.2k indexed · 3 hit papers · h-index 40

Fred M. Utter

98 papers receiving 5.3k citations

Hit Papers

Genetic Effects of Cultured Fish on Natural Fish Populations5521989202620012013100200300400500

Peers

Fred M. Utter
Comparison fields: 5 of 100
  • Nature and Landscape Conservation 3.7k
  • Aquatic Science 1.8k
  • Genetics 3.8k
  • Physiology 546
  • Ecology 1.4k
Replace Terry D. Beacham with:
Terry D. Beacham Canada
Kjetil Hindar Norway
Philip McGinnity Ireland
E. Verspoor United Kingdom
Ruth E. Withler Canada
Patrick Berrebi France
Filip Volckaert Belgium
Einar Eg Nielsen Denmark
Roy G. Danzmann Canada
James E. Seeb United States
Fred M. Utter relative to Terry D. Beacham Canada Terry D. Beacham's profile →
Citations per field
00.5×1.5×
Terry D. Beacham · 1×
Citations per year

Countries citing papers authored by Fred M. Utter

Since Specialization
Citations

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

Fields of papers citing papers by Fred M. Utter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred M. Utter. 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 Fred M. Utter. The network helps show where Fred M. Utter may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fred M. Utter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fred M. Utter Line = papers co-authored together Fred M. Utter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201348
2 20104
3 20093
4 200923
5 200882
6 20079
7 200644
8 200413
9 19983
10 199879
11 1995241
12 199135
13 198743
14
Manual for Starch Gel Electrophoresis: A Method for the Detection of Genetic Variation
1987211
15 198628
16 198520
17 1985104
18 197382
19 19713
20 197024

About Fred M. Utter

Fred M. Utter is a scholar working on Nature and Landscape Conservation, Aquatic Science, Genetics, Physiology and Ecology, having authored 99 papers that have together received 6.2k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (54 papers), Genetic diversity and population structure (48 papers), Genetic and phenotypic traits in livestock (31 papers), Identification and Quantification in Food (21 papers), Aquaculture Nutrition and Growth (10 papers), Reproductive biology and impacts on aquatic species (9 papers), Animal Genetics and Reproduction (9 papers) and Aquaculture disease management and microbiota (8 papers). The work is most often cited by research in Nature and Landscape Conservation (3.7k citations), Aquatic Science (1.8k citations), Genetics (3.8k citations), Physiology (546 citations) and Ecology (1.4k citations). Fred M. Utter has collaborated with scholars based in United States, Spain and Sweden. Frequent co-authors include Nils Ryman, Kjetil Hindar, Alan J. Jamieson, Donald G. Buth, Harold O. Hodgins, Fred W. Allendorf, W. Stewart Grant, Linda Laikre, José‐Luis García‐Marín and Carles Plá. Their work appears in journals such as Canadian Journal of Fisheries and Aquatic Sciences, Transactions of the American Fisheries Society, Aquaculture, Reviews in Fish Biology and Fisheries and Ecology Of Freshwater Fish.

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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