Ken Overturf

4.7k total citations · 1 hit paper
78 papers, 3.6k citations indexed

About

Ken Overturf is a scholar working on Aquatic Science, Immunology and Molecular Biology. According to data from OpenAlex, Ken Overturf has authored 78 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Aquatic Science, 42 papers in Immunology and 20 papers in Molecular Biology. Recurrent topics in Ken Overturf's work include Aquaculture Nutrition and Growth (47 papers), Aquaculture disease management and microbiota (41 papers) and Reproductive biology and impacts on aquatic species (17 papers). Ken Overturf is often cited by papers focused on Aquaculture Nutrition and Growth (47 papers), Aquaculture disease management and microbiota (41 papers) and Reproductive biology and impacts on aquatic species (17 papers). Ken Overturf collaborates with scholars based in United States, Canada and Chile. Ken Overturf's co-authors include Milton J. Finegold, Markus Grompe, Muhsen Al-Dhalimy, Katherine A. Johansen, Ronald W. Hardy, C N Ou, Scott E. LaPatra, Robert M. Tanguay, Mark Brantly and Ching-Nan Ou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Ken Overturf

76 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Serial transplantation reveals the stem-cell-like regenerative potential of adult mouse hepatocytes.

1997 446 citations Ken Overturf, Muhsen Al-Dhalimy et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Overturf United States	33	1.3k	1.1k	962	753	747	78	3.6k
Jen‐Leih Wu Taiwan	32	464 0.3×	1.4k 1.3×	819 0.9×	69 0.1×	225 0.3×	111	2.9k
Li‐xin Xiang China	37	411 0.3×	1.2k 1.1×	2.4k 2.5×	183 0.2×	306 0.4×	102	4.0k
Keitaro Kato Japan	34	542 0.4×	1.8k 1.7×	479 0.5×	31 0.0×	198 0.3×	182	3.8k
C. C. Whitehead United Kingdom	42	841 0.6×	1.0k 0.9×	128 0.1×	34 0.0×	203 0.3×	185	5.9k
Hong‐Yi Gong Taiwan	24	327 0.2×	817 0.7×	520 0.5×	63 0.1×	114 0.2×	70	1.7k
Alejandro J. Yáñez Chile	27	278 0.2×	960 0.9×	942 1.0×	10 0.0×	392 0.5×	120	2.7k
Xin Qi China	28	473 0.4×	756 0.7×	404 0.4×	16 0.0×	52 0.1×	147	2.2k
Hee Jeong Kong South Korea	25	232 0.2×	1.1k 1.0×	1.5k 1.5×	27 0.0×	62 0.1×	124	2.7k
Xiaozhen Yang China	28	821 0.6×	455 0.4×	591 0.6×	91 0.1×	28 0.0×	97	2.3k

Countries citing papers authored by Ken Overturf

Since Specialization

Citations

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

Fields of papers citing papers by Ken Overturf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Overturf

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

All Works

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20 of 20 papers shown

Phelps, Michael, et al.. (2025). Muscle hyperplasia and hypertrophy dynamics in rainbow trout ( Oncorhynchus mykiss ): impact of high plant-based protein and additive mixtures on muscle physiology. British Journal Of Nutrition. 134(8). 617–633.

Overturf, Ken, Jason Abernathy, Dietmar Kültz, et al.. (2025). Potential physiological mechanisms behind variation in rainbow trout (Oncorhynchus mykiss) to biosynthesize EPA and DHA when reared on plant oil replacement feeds. Aquaculture Reports. 41. 102655–102655. 1 indexed citations

Kajbaf, Kimia, Ken Overturf, Beth M. Cleveland, & Vikas Kumar. (2025). Regulation of the ω-3 fatty acid biosynthetic pathway and fatty acids bioconversion capacity in selected rainbow trout (Oncorhynchus mykiss) using alternative dietary oils. Animal Feed Science and Technology. 320. 116219–116219.

Kajbaf, Kimia, Ken Overturf, & Vikas Kumar. (2024). Integrated alternative approaches to select feed-efficient rainbow trout families to enhance the plant protein utilization. Scientific Reports. 14(1). 3869–3869. 2 indexed citations

Welker, Thomas L. & Ken Overturf. (2023). Effect of Dietary Soy Protein Source on Effluent Water Quality and Growth Performance of Rainbow Trout Reared in a Serial Reuse Water System. Animals. 13(19). 3090–3090. 1 indexed citations

Bledsoe, Jacob W., et al.. (2022). Multi-tissue RNAseq reveals genetic and temporal differences in acute response to viral (IHNV) infection among three selected lines of rainbow trout with varying resistance. Fish & Shellfish Immunology. 124. 343–361. 5 indexed citations

Fawole, Femi J., Shyam Narayan Labh, Md. Sakhawat Hossain, et al.. (2021). Insect (black soldier fly larvae) oil as a potential substitute for fish or soy oil in the fish meal-based diet of juvenile rainbow trout (Oncorhynchus mykiss). Animal nutrition. 7(4). 1360–1370. 50 indexed citations

Kumar, Vikas, et al.. (2021). Dietary amino acid supplementation affects temporal expression of amino acid transporters and metabolic genes in selected and commercial strains of rainbow trout (Oncorhynchus mykiss). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 255. 110589–110589. 8 indexed citations

Kumar, Vikas, Femi J. Fawole, Nicholas Romano, et al.. (2020). Insect (black soldier fly, Hermetia illucens) meal supplementation prevents the soybean meal-induced intestinal enteritis in rainbow trout and health benefits of using insect oil. Fish & Shellfish Immunology. 109. 116–124. 93 indexed citations

10.

Villasante, Alejandro, Madison S. Powell, Gordon K. Murdoch, et al.. (2016). Effect of anthocyanidins on myogenic differentiation in induced and non-induced primary myoblasts from rainbow trout ( Oncorhynchus mykiss ). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 196-197. 102–108. 6 indexed citations

11.

Abernathy, Jason, Stéphane Panserat, Thomas L. Welker, et al.. (2015). Food Shortage Causes Differential Effects on Body Composition and Tissue-Specific Gene Expression in Salmon Modified for Increased Growth Hormone Production. Marine Biotechnology. 17(6). 753–767. 9 indexed citations

12.

Overturf, Ken & Scott E. LaPatra. (2006). Quantitative expression (Walbaum) of immunological factors in rainbow trout, Oncorhynchus mykiss (Walbaum), after infection with either Flavobacterium psychrophilum, Aeromonas salmonicida, or infectious haematopoietic necrosis virus. Journal of Fish Diseases. 29(4). 215–224. 36 indexed citations

13.

Johansen, Katherine A. & Ken Overturf. (2005). Quantitative Expression Analysis of Genes AffectingMuscle Growth During Development of Rainbow Trout(Oncorhynchus mykiss). Marine Biotechnology. 7(6). 576–587. 103 indexed citations

14.

Powell, Madison S., et al.. (2005). Detection of Renibacterium salmoninarum in chinook salmon, Oncorhynchus tshawytscha (Walbaum), using quantitative PCR. Journal of Fish Diseases. 28(10). 615–622. 29 indexed citations

15.

Al-Dhalimy, Muhsen, Ken Overturf, Milton J. Finegold, & Markus Grompe. (2002). Long-Term Therapy with NTBC and Tyrosine-Restricted Diet in a Murine Model of Hereditary Tyrosinemia Type I. Molecular Genetics and Metabolism. 75(1). 38–45. 65 indexed citations

16.

Overturf, Ken, Muhsen Al-Dhalimy, Milton J. Finegold, & Markus Grompe. (1999). The Repopulation Potential of Hepatocyte Populations Differing in Size and Prior Mitotic Expansion. American Journal Of Pathology. 155(6). 2135–2143. 143 indexed citations

17.

Overturf, Ken, et al.. (1998). Ex Vivo Hepatic Gene Therapy of a Mouse Model of Hereditary Tyrosinemia Type I. Human Gene Therapy. 9(3). 295–304. 49 indexed citations

18.

Overturf, Ken, Muhsen Al-Dhalimy, Milton J. Finegold, & Markus Grompe. (1997). Serial transplantation reveals stem cell like regenerative potential in parenchymal mouse hepatocytes. The FASEB Journal. 11(3). 3 indexed citations

19.

Overturf, Ken, Muhsen Al-Dhalimy, Ching N. Ou, et al.. (1997). Adenovirus-Mediated Gene Therapy in a Mouse Model of Hereditary Tyrosinemia Type I. Human Gene Therapy. 8(5). 513–521. 58 indexed citations

20.

Overturf, Ken, et al.. (1994). Heterotetramer formation and charybdotoxin sensitivity of two K+ channels cloned from smooth muscle. American Journal of Physiology-Cell Physiology. 267(6). C1729–C1733. 48 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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