Gen Hiyama

756 total citations
31 papers, 566 citations indexed

About

Gen Hiyama is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Gen Hiyama has authored 31 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 13 papers in Reproductive Medicine. Recurrent topics in Gen Hiyama's work include Sperm and Testicular Function (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). Gen Hiyama is often cited by papers focused on Sperm and Testicular Function (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). Gen Hiyama collaborates with scholars based in Japan, Canada and South Korea. Gen Hiyama's co-authors include Tomohiro Sasanami, Shusei Mizushima, Mei Matsuzaki, Norio Kansaku, D. Zadworny, Hideo Dohra, Kogiku Shiba, Kazuo Inaba, Takashi Yoshimura and Motoki Takagi and has published in prestigious journals such as Development, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gen Hiyama

30 papers receiving 548 citations

Peers

Gen Hiyama

GENET

PHEOH

EEBS

Osamu Nakabayashi Japan

H. M. Sang United Kingdom

Andrew T. Major Australia

Daniel H. Dubois United States

Usha Natraj India

Rory M. Hope Australia

Ana Jedlicki Chile

Aurore Thélie France

Nina Bausek United Kingdom

L.C. Christian United States

Osamu Nakabayashi Japan

Gen Hiyama

95 ×0.4

352 ×1.9

GENET

320 ×2.3

14 ×0.1

PHEOH

35 ×0.4

EEBS

Citations per year, relative to Gen Hiyama Gen Hiyama (= 1×) peers Osamu Nakabayashi

Countries citing papers authored by Gen Hiyama

Since Specialization

Citations

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

Fields of papers citing papers by Gen Hiyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Hiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Hiyama. A scholar is included among the top collaborators of Gen Hiyama 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 Gen Hiyama. Gen Hiyama 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

Takagi, Motoki, et al.. (2024). A deep-learning model for characterizing tumor heterogeneity using patient-derived organoids. Scientific Reports. 14(1). 22769–22769. 6 indexed citations

Nanamiya, Hideaki, et al.. (2024). Detection of four isomers of the human cytomegalovirus genome using nanopore long-read sequencing. Virus Genes. 60(4). 377–384. 1 indexed citations

Hiyama, Gen, et al.. (2023). Tyrosine Kinase Inhibitor Profiling Using Multiple Forskolin-Responsive Reporter Cells. International Journal of Molecular Sciences. 24(18). 13863–13863.

Higa, Arisa, Nobuhiko Takahashi, Gen Hiyama, et al.. (2021). High-Throughput In Vitro Assay using Patient-Derived Tumor Organoids. Journal of Visualized Experiments. 4 indexed citations

Hiyama, Gen, Shusei Mizushima, Mei Matsuzaki, et al.. (2018). Female Japanese quail visually differentiate testosterone-dependent male attractiveness for mating preferences. Scientific Reports. 8(1). 10012–10012. 10 indexed citations

Tamura, Hirosumi, Arisa Higa, Hirotaka Hoshi, et al.. (2018). Evaluation of anticancer agents using patient-derived tumor organoids characteristically similar to source tissues. Oncology Reports. 43 indexed citations

Hoshi, Hirotaka, Gen Hiyama, Kosuke Ishikawa, et al.. (2016). Construction of a novel cell-based assay for the evaluation of anti-EGFR drug efficacy against EGFR mutation. Oncology Reports. 37(1). 66–76. 17 indexed citations

Matsuzaki, Mei, Shusei Mizushima, Gen Hiyama, et al.. (2015). Lactic acid is a sperm motility inactivation factor in the sperm storage tubules. Scientific Reports. 5(1). 17643–17643. 49 indexed citations

Sasanami, Tomohiro, Shunsuke Izumi, Naoki Sakurai, et al.. (2015). A unique mechanism of successful fertilization in a domestic bird. Scientific Reports. 5(1). 7700–7700. 24 indexed citations

10.

Hiyama, Gen, et al.. (2015). Characterization and Expression of Turkey Prolactin Regulatory Element Binding in the Anterior Pituitary Gland and Pancreas During Embryogenesis. The Journal of Poultry Science. 53(1). 67–75. 2 indexed citations

11.

Hiyama, Gen, Norio Kansaku, Toshio Tanaka, Shin Wakui, & D. Zadworny. (2014). Characterization of Chicken Prolactin Regulatory Element Binding Protein and its Expression in the Anterior Pituitary Gland during Embryogenesis and Different Reproductive Stages. The Journal of Poultry Science. 52(1). 42–51. 7 indexed citations

12.

Sasanami, Tomohiro, Mei Matsuzaki, Shusei Mizushima, & Gen Hiyama. (2013). Sperm Storage in the Female Reproductive Tract in Birds. Journal of Reproduction and Development. 59(4). 334–338. 87 indexed citations

13.

Hiyama, Gen, Mei Matsuzaki, Shusei Mizushima, et al.. (2013). Sperm activation by heat shock protein 70 supports the migration of sperm released from sperm storage tubules in Japanese quail ( Coturnix japonica ). Reproduction. 147(2). 167–178. 41 indexed citations

14.

Sasanami, Tomohiro, Toshinobu Tokumoto, Norio Yoshizaki, et al.. (2012). Sperm proteasome degrades egg envelope glycoprotein ZP1 during fertilization of Japanese quail ( Coturnix japonica ). Reproduction. 144(4). 423–431. 25 indexed citations

15.

Hiyama, Gen, et al.. (2009). Cloning of PRL and VIP cDNAs of the Java sparrow (Padda oryzivora). Animal Science Journal. 80(2). 176–186. 5 indexed citations

16.

Hiyama, Gen, Norio Kansaku, Tomohiro Sasanami, et al.. (2009). Changes in post-translational modifications of prolactin during development and reproductive cycles in the chicken. General and Comparative Endocrinology. 161(2). 238–245. 20 indexed citations

17.

Kansaku, Norio, Gen Hiyama, Tomohiro Sasanami, & D. Zadworny. (2008). Prolactin and Growth Hormone in Birds: Protein Structure, Gene Structure and Genetic Variation. The Journal of Poultry Science. 45(1). 1–6. 39 indexed citations

18.

Sasanami, Tomohiro, Takeomi Murata, Kayoko Matsushima, et al.. (2007). Induction of sperm acrosome reaction by perivitelline membrane glycoprotein ZP1 in Japanese quail ( Coturnix japonica ). Reproduction. 133(1). 41–49. 30 indexed citations

19.

Sasanami, Tomohiro, Kayoko Matsushima, Gen Hiyama, et al.. (2006). Zona Pellucida Domain of ZPB1 Controls Specific Binding of ZPB1 and ZPC in Japanese Quail (Coturnix japonica). Cells Tissues Organs. 183(1). 41–52. 17 indexed citations

20.

Sasanami, Tomohiro, et al.. (2005). Vectorial Secretion of Perivitelline Membrane Glycoprotein ZPC of Japanese Quail (Coturnix japonica) in Polarized Madin-Darby Canine Kidney Cells. Cells Tissues Organs. 180(3). 169–177. 4 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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