Koichiro Gen

2.1k total citations
78 papers, 1.6k citations indexed

About

Koichiro Gen is a scholar working on Physiology, Aquatic Science and Genetics. According to data from OpenAlex, Koichiro Gen has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Physiology, 46 papers in Aquatic Science and 42 papers in Genetics. Recurrent topics in Koichiro Gen's work include Reproductive biology and impacts on aquatic species (62 papers), Aquaculture Nutrition and Growth (46 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (35 papers). Koichiro Gen is often cited by papers focused on Reproductive biology and impacts on aquatic species (62 papers), Aquaculture Nutrition and Growth (46 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (35 papers). Koichiro Gen collaborates with scholars based in Japan, Taiwan and Netherlands. Koichiro Gen's co-authors include Koichi Okuzawa, Hirohiko Kagawa, Hideki Tanaka, Yukinori Kazeto, Naoki Kumakura, Sonoko Yamaguchi, Toshiya Yamaguchi, Takeshi Kitano, N Yoshinaga and Takashi Yazawa and has published in prestigious journals such as Scientific Reports, Endocrinology and Aquaculture.

In The Last Decade

Koichiro Gen

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichiro Gen Japan 21 1.2k 860 709 333 249 78 1.6k
Yukinori Kazeto Japan 26 1.7k 1.5× 1.3k 1.5× 863 1.2× 567 1.7× 375 1.5× 89 2.3k
J. Adam Luckenbach United States 24 944 0.8× 927 1.1× 687 1.0× 181 0.5× 336 1.3× 50 1.7k
P. Mark Lokman New Zealand 25 1.6k 1.4× 1.0k 1.2× 1.0k 1.5× 536 1.6× 476 1.9× 110 2.2k
Ángel García-López Spain 23 937 0.8× 646 0.8× 562 0.8× 374 1.1× 169 0.7× 34 1.4k
Hanna Rosenfeld Israel 19 884 0.8× 531 0.6× 517 0.7× 367 1.1× 250 1.0× 46 1.5k
Víctor Gallego Spain 23 1.1k 0.9× 501 0.6× 531 0.7× 738 2.2× 340 1.4× 75 1.4k
Juan I. Fernandino Argentina 22 1.1k 1.0× 1.3k 1.5× 393 0.6× 338 1.0× 179 0.7× 48 1.9k
J.G. Cloud United States 22 784 0.7× 422 0.5× 436 0.6× 312 0.9× 390 1.6× 55 1.2k
Ricardo Shohei Hattori Japan 22 1.2k 1.1× 1.5k 1.7× 420 0.6× 319 1.0× 232 0.9× 52 1.9k
Monika Schmitz Sweden 27 812 0.7× 434 0.5× 692 1.0× 248 0.7× 599 2.4× 70 1.7k

Countries citing papers authored by Koichiro Gen

Since Specialization
Citations

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

Fields of papers citing papers by Koichiro Gen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichiro Gen

This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Gen. A scholar is included among the top collaborators of Koichiro Gen 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 Koichiro Gen. Koichiro Gen 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
3.
Yamazaki, Wataru, Katsumi Yamaguchi, Yoshitaka Sakakura, et al.. (2024). Application of the plankton-kreisel tank for small-scale larviculture of Pacific bluefin tuna Thunnus orientalis. Fisheries Science. 90(3). 475–484.
4.
Nakamura, Yoji, et al.. (2023). Transcriptome characterization of gonadal sex differentiation in Pacific bluefin tuna, Thunnus orientalis (Temminck et Schlegel). Scientific Reports. 13(1). 13867–13867. 4 indexed citations
6.
Nakamura, Yoji, et al.. (2021). Prediction of the Sex-Associated Genomic Region in Tunas (Thunnus Fishes). International Journal of Genomics. 2021. 1–14. 11 indexed citations
7.
Higuchi, Kentaro, Hiroshi Hashimoto, Yukinori Kazeto, et al.. (2021). Gonadal sex differentiation and early ovarian/testicular development in cultured Pacific bluefin tuna, Thunnus orientalis (Temminck et Schlegel). Theriogenology. 173. 56–63. 5 indexed citations
9.
Yamazaki, Wataru, et al.. (2020). Effect of tank shape on survival and growth of Pacific bluefin tuna Thunnus orientalis larvae. Aquaculture. 524. 735283–735283. 4 indexed citations
10.
Higuchi, Kentaro, et al.. (2019). Early development of primordial germ cells in Pacific bluefin tuna Thunnus orientalis. Theriogenology. 131. 106–112. 8 indexed citations
11.
Gen, Koichiro, et al.. (2016). Quantitative comparisons of maternal transcripts related to cell division between good and poor quality eggs from artificially matured Japanese eel Anguilla japonica. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 64(1). 29–42. 7 indexed citations
12.
Higuchi, Kentaro, Yosuke Tanaka, Ayako Suzuki, et al.. (2015). Effect of electrolyzed seawater treatment on the hatching rate of Pacific bluefin tuna Thunnus orientalis eggs. Aquaculture Science. 63(3). 333–341. 6 indexed citations
13.
Nyuji, Mitsuo, Yukinori Kazeto, Hiroshi Suzuki, et al.. (2015). Greater amberjack Fsh, Lh, and their receptors: Plasma and mRNA profiles during ovarian development. General and Comparative Endocrinology. 225. 224–234. 54 indexed citations
15.
Kurokawa, Tadahide, Hiroyuki Kaiya, Hiroshi Hashimoto, et al.. (2011). Distribution of pepsinogen- and ghrelin-producing cells in the digestive tract of Japanese eel (Anguilla japonica) during metamorphosis and the adult stage. General and Comparative Endocrinology. 173(3). 475–482. 10 indexed citations
16.
Kurogi, Hiroaki, Makoto Okazaki, Noritaka Mochioka, et al.. (2011). First capture of post-spawning female of the Japanese eel Anguilla japonica at the southern West Mariana Ridge. Fisheries Science. 77(2). 199–205. 47 indexed citations
17.
Kumakura, Naoki, et al.. (2004). Effects of gonadotropin-releasing hormone on pituitary–ovarian axis of one-year old pre-pubertal red seabream. General and Comparative Endocrinology. 138(2). 105–112. 22 indexed citations
18.
Ohta, Kohei, Sonoko Yamaguchi, Akihiko Yamaguchi, et al.. (2002). Biosynthesis of steroids in ovarian follicles of red seabream, Pagrus major (Sparidae, Teleostei) during final oocyte maturation and the relative effectiveness of steroid metabolites for germinal vesicle breakdown in vitro. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 133(1). 45–54. 15 indexed citations
19.
Fukada, Haruhisa, Naoshi Hiramatsu, Koichiro Gen, & Akihiko Hara. (1997). Development of an ELISA for Chum Salmon (Oncorhynchus keta) Growth Hormone. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 117(3). 387–392. 10 indexed citations
20.
Yamada, Hideaki, Ryuya Horiuchi, Koichiro Gen, & Kohei Yamauchi. (1993). Involvement of Four Hormones in Thyroxine Deiodination in Several Tissues of Immature Yearling Masu Salmon,Oncorhynchus masou. ZOOLOGICAL SCIENCE. 10(4). 587–596. 13 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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