Hiroki Nakata

919 total citations
47 papers, 639 citations indexed

About

Hiroki Nakata is a scholar working on Molecular Biology, Reproductive Medicine and Genetics. According to data from OpenAlex, Hiroki Nakata has authored 47 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Reproductive Medicine and 9 papers in Genetics. Recurrent topics in Hiroki Nakata's work include Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Hiroki Nakata is often cited by papers focused on Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Hiroki Nakata collaborates with scholars based in Japan, Thailand and United States. Hiroki Nakata's co-authors include Shoichi Iseki, Tomohiko Wakayama, Atsushi Mizokami, Yoshimi Takai, Midori Suzuki, Yukihiro Kobayashi, Kazuo Shiomi, Takahiro Sonomura, Miyuki Yamamoto and Kouji Izumi and has published in prestigious journals such as Scientific Reports, Food Chemistry and Journal of Lipid Research.

In The Last Decade

Hiroki Nakata

43 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroki Nakata Japan 14 211 209 122 87 82 47 639
Hugues Jacobs France 11 94 0.4× 480 2.3× 84 0.7× 79 0.9× 152 1.9× 20 706
Ravi Kumar Gutti India 20 86 0.4× 782 3.7× 79 0.6× 81 0.9× 122 1.5× 59 1.3k
Weijie Yang China 14 165 0.8× 308 1.5× 221 1.8× 38 0.4× 41 0.5× 34 679
Xianqin Zhang China 17 116 0.5× 622 3.0× 157 1.3× 26 0.3× 164 2.0× 42 958
Wencong Song China 17 162 0.8× 290 1.4× 128 1.0× 40 0.5× 109 1.3× 25 604
Yongjie Chen China 17 65 0.3× 374 1.8× 42 0.3× 65 0.7× 97 1.2× 66 791
Patrı́cia Gama Brazil 16 59 0.3× 416 2.0× 29 0.2× 200 2.3× 202 2.5× 51 890
Saeed Talebi Iran 15 64 0.3× 273 1.3× 55 0.5× 42 0.5× 95 1.2× 69 667
Emi Nose Japan 18 589 2.8× 222 1.1× 296 2.4× 23 0.3× 73 0.9× 20 1.0k

Countries citing papers authored by Hiroki Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Nakata. A scholar is included among the top collaborators of Hiroki Nakata 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 Hiroki Nakata. Hiroki Nakata 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.
2.
Izumi, Kouji, Hiroshi Kano, Tomoyuki Makino, et al.. (2024). Tumor-associated macrophages promote bladder cancer metastasis through the CCL20-CCR6 axis. Neoplasia. 60. 101103–101103. 4 indexed citations
3.
Nakata, Hiroki & Shoichi Iseki. (2024). Three‐dimensional analysis of partial restoration of spermatogenesis in vitamin A‐deficient mice. Andrology. 13(2). 359–370. 1 indexed citations
4.
Morishige, Jun‐ichi, Kazuaki Yoshioka, Hiroki Nakata, et al.. (2023). Sphingosine kinase 1 is involved in triglyceride breakdown by maintaining lysosomal integrity in brown adipocytes. Journal of Lipid Research. 64(11). 100450–100450.
5.
Naito, Renato, Hiroshi Kano, Suguru Kadomoto, et al.. (2023). Novel α-Trifluoromethyl Chalcone Exerts Antitumor Effects Against Prostate Cancer Cells. Anticancer Research. 43(6). 2433–2444. 1 indexed citations
6.
Omotehara, Takuya, Rex A. Hess, Hiroki Nakata, et al.. (2023). Expression patterns of sex steroid receptors in developing mesonephros of the male mouse: three-dimensional analysis. Cell and Tissue Research. 393(3). 577–593. 4 indexed citations
7.
Omotehara, Takuya, et al.. (2022). Comparative anatomy on the development of sperm transporting pathway between the testis and mesonephros. Histochemistry and Cell Biology. 157(3). 321–332. 3 indexed citations
8.
Nakagawa, Tomomi, Kazuyoshi Shigehara, Yuki Kato, et al.. (2022). Are bladder washing samples suitable for investigation of HPV infection in urinary bladder? Comparison in HPV prevalence between urine and washing samples. Journal of Medical Virology. 95(1). e28110–e28110. 3 indexed citations
9.
Omotehara, Takuya, Hiroki Nakata, & Masahiro Itoh. (2021). Three‐dimensional analysis of mesonephric tubules remodeling into efferent tubules in the male mouse embryo. Developmental Dynamics. 251(3). 513–524. 9 indexed citations
10.
Nakata, Hiroki, Jumpei Terakawa, Shin‐ichi Horike, Takiko Daikoku, & Shoichi Iseki. (2020). The lack of terminal tubule cells in the submandibular gland of mice deficient in submandibular gland protein C. Cell and Tissue Research. 381(2). 229–237. 3 indexed citations
11.
12.
Nakata, Hiroki. (2018). Morphology of mouse seminiferous tubules. Anatomical Science International. 94(1). 1–10. 27 indexed citations
13.
Hirata, Miki, Hidehiro Tajima, Tomoharu Miyashita, et al.. (2017). Extravasated platelet aggregation in the livers of rats with drug-induced hepatic sinusoidal obstruction syndrome. Molecular Medicine Reports. 15(5). 3147–3152. 21 indexed citations
14.
Nakata, Hiroki, Takahiro Sonomura, & Shoichi Iseki. (2017). Three-dimensional analysis of seminiferous tubules and spermatogenic waves in mice. Reproduction. 154(5). 569–579. 21 indexed citations
15.
Nakata, Hiroki, Tomohiko Wakayama, Tomoya Asano, Takumi Nishiuchi, & Shoichi Iseki. (2016). Identification of sperm equatorial segment protein 1 in the acrosome as the primary binding target of peanut agglutinin (PNA) in the mouse testis. Histochemistry and Cell Biology. 147(1). 27–38. 19 indexed citations
16.
Wakayama, Tomohiko, et al.. (2014). Expression and Localization of α-amylase in the Submandibular and Sublingual Glands of Mice. ACTA HISTOCHEMICA ET CYTOCHEMICA. 47(3). 95–102. 11 indexed citations
17.
Nakata, Hiroki, et al.. (2014). Morphology and gene expression profile of the submandibular gland of androgen-receptor-deficient mice. Archives of Oral Biology. 60(2). 320–332. 13 indexed citations
18.
Suzuki, Midori, et al.. (2010). Paramyosin of the disc abalone Haliotis discus discus: Identification as a new allergen and cross-reactivity with tropomyosin. Food Chemistry. 124(3). 921–926. 54 indexed citations
19.
Wakayama, Tomohiko, et al.. (2009). Expression of cAMP response element-binding protein in the duct system of the mouse submandibular gland. Histochemistry and Cell Biology. 132(6). 647–657. 5 indexed citations
20.
Yamashita, Hideomi, Keiichi Nakagawa, Naoki Nakamura, et al.. (2006). Taste dysfunction in patients receiving radiotherapy. Head & Neck. 28(6). 508–516. 79 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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