Hideaki Tojo

2.5k total citations
145 papers, 2.1k citations indexed

About

Hideaki Tojo is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hideaki Tojo has authored 145 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 54 papers in Genetics and 29 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hideaki Tojo's work include Animal Genetics and Reproduction (38 papers), Reproductive Biology and Fertility (26 papers) and Atrial Fibrillation Management and Outcomes (12 papers). Hideaki Tojo is often cited by papers focused on Animal Genetics and Reproduction (38 papers), Reproductive Biology and Fertility (26 papers) and Atrial Fibrillation Management and Outcomes (12 papers). Hideaki Tojo collaborates with scholars based in Japan, United States and India. Hideaki Tojo's co-authors include Kunihiko Naito, Keitaro Yamanouchi, Chikashi Tachi, Motoharu Seiki, Koji Sugiura, Naoki Iwamori, Keijiro Saku, Koichiro Kumagai, Tomoo Yasuda and Hiroo Noguchi and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Brain Research.

In The Last Decade

Hideaki Tojo

144 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Tojo Japan 25 1.1k 486 450 263 218 145 2.1k
Leslie O. Goodwin United States 22 938 0.8× 217 0.4× 186 0.4× 207 0.8× 134 0.6× 42 1.6k
Heidi Dorward United States 17 954 0.8× 373 0.8× 277 0.6× 117 0.4× 50 0.2× 27 1.9k
Nafis A. Rahman Finland 31 1.3k 1.1× 452 0.9× 850 1.9× 775 2.9× 67 0.3× 95 2.8k
Keesook Lee South Korea 29 1.3k 1.2× 203 0.4× 716 1.6× 457 1.7× 28 0.1× 74 2.7k
Haiwei Mou United States 18 1.3k 1.1× 174 0.4× 334 0.7× 588 2.2× 37 0.2× 32 2.1k
Éric Nguyen France 16 1.0k 0.9× 194 0.4× 246 0.5× 54 0.2× 47 0.2× 37 1.5k
Kwan‐Hyuck Baek South Korea 26 1.1k 1.0× 171 0.4× 150 0.3× 90 0.3× 62 0.3× 50 1.9k
Nicolas Gévry Canada 25 1.9k 1.6× 181 0.4× 290 0.6× 140 0.5× 42 0.2× 52 2.6k
Yueshuai Guo China 28 1.9k 1.6× 679 1.4× 383 0.9× 742 2.8× 32 0.1× 74 2.7k
Xiangyuan Wang United States 24 1.5k 1.3× 481 1.0× 553 1.2× 452 1.7× 15 0.1× 43 2.0k

Countries citing papers authored by Hideaki Tojo

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Tojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Tojo

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Tojo. A scholar is included among the top collaborators of Hideaki Tojo 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 Hideaki Tojo. Hideaki Tojo 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.
Nishioka, Keisuke, Yusuke Sakai, Daisuke Motooka, et al.. (2025). Engineered DPP4 decoy confers broad-spectrum inhibition of MERS-CoV infection. 1(2). 100018–100018. 1 indexed citations
2.
Ito, Masanori, et al.. (2010). Ubiquitous expression of Sry induces embryonic lethality related to suppression of Tie2/Tek expression. Advances in Bioscience and Biotechnology. 1(5). 444–452. 2 indexed citations
5.
Kumagai, Koichiro, Hideaki Tojo, Hiroo Noguchi, et al.. (2004). Effects of the Na+ Channel Blocker Pilsicainide on the Electrophysiologic Properties of Pulmonary Veins in Patients with Atrial Fibrillation. Journal of Cardiovascular Electrophysiology. 15(12). 1396–1401. 26 indexed citations
6.
Kikuchi, Kazuhiro, Kunihiko Naito, Junko Noguchi, Hiroyuki Kaneko, & Hideaki Tojo. (2002). Maturation/M-Phase Promoting Factor Regulates Aging of Porcine Oocytes Matured In Vitro. Cloning and Stem Cells. 4(3). 211–222. 60 indexed citations
7.
Mori, Hiroyuki, Naohiko Koshikawa, Masahiro Kajita, et al.. (2002). CD44 directs membrane-type 1 matrix metalloproteinase (MT1-MMP) to lamellipodia by associating with its hemopexin-like domain (PEX). Molecular Biology of the Cell. 13. 2 indexed citations
8.
Naito, Kunihiko, Satoshi Ohashi, Koji Sugiura, et al.. (2002). Effects of spindle removal on MPF and MAP kinase activities in porcine matured oocytes. Molecular Reproduction and Development. 63(3). 388–393. 18 indexed citations
9.
Ito, Masanori, Kunihiko Naito, Hitoshi Endo, et al.. (2002). In vitro Cre/loxP system in cells from developing gonads: Investigation of the Sry promoter. Development Growth & Differentiation. 44(6). 549–557. 6 indexed citations
10.
Yamanouchi, Keitaro, et al.. (1999). Endometrial expression of cellular protooncogene c‐ski and its regulation by estradiol‐17β. FEBS Letters. 449(2-3). 273–276. 7 indexed citations
11.
Toyooka, Yayoi, Satomi Tanaka, Satoshi Tanaka, et al.. (1998). Wilms' tumor suppressor gene (WT1) as a target gene of SRY function in a mouse ES cell line transfected with SRY. The International Journal of Developmental Biology. 42(8). 1143–1151. 17 indexed citations
12.
Seo, Byoung Boo, Hideaki Tojo, Satoshi Tanaka, et al.. (1997). Efficient selection of preimplantation transgenic embryos by an improved procedure using Dpn I– Bal 31 digestion and the polymerase chain reaction. Reproduction Fertility and Development. 9(2). 263–270. 7 indexed citations
13.
Ikeda, Akihiro, Yoshiki Matsumoto, Kyu‐Tae Chang, et al.. (1997). Different Female Reproductive Phenotypes Determined by Human Growth Hormone (hGH) Levels in hGH-Transgenic Rats1. Biology of Reproduction. 56(4). 847–851. 10 indexed citations
14.
Sasaki, Fumihiko, Hideaki Tojo, Nobuhiro Miki, et al.. (1997). Growth Hormone‐Releasing Hormone (GHRH)‐GH‐Somatic Growth and Luteinizing Hormone (LH)RH‐LH‐Ovarian Axes in Adult Female Transgenic Mice Expressing Human GH Gene. Journal of Neuroendocrinology. 9(8). 615–626. 8 indexed citations
15.
Tojo, Hideaki, Kenji Takami, Yoshihiko Kaisho, et al.. (1996). Analysis of neurotrophin-3 expression using the lacZ reporter gene suggests its local mode of neurotrophic activity. Neuroscience. 71(1). 221–230. 16 indexed citations
16.
Nagasawa, Hiroshi, Michiko Hasegawa, Kazutoshi Yamamoto, et al.. (1993). Normal and neoplastic growth of mammary glands and circulating levels of prolactin and growth hormone in mouse whey acidic protein promoter/human growth hormone (mWAP/hGH) transgenic mice. ZOOLOGICAL SCIENCE. 10(6). 963–970. 2 indexed citations
17.
18.
Tojo, Hideaki, et al.. (1980). Effects of Estrogen and Progesterone on the Ovulation Induced by LH in the Hypophysectomized Hen. Nihon Chikusan Gakkaiho. 51(2). 105–111. 1 indexed citations
19.
Tojo, Hideaki, et al.. (1978). Fractionation of the Chicken Pituitary for Growth Hormone. Nihon Chikusan Gakkaiho. 49(1). 75–77. 4 indexed citations
20.
Tojo, Hideaki, et al.. (1977). Inhibitory Effects of Prolactin on Ovulation and Egg Shell Formation in the Hen. Nihon Chikusan Gakkaiho. 48(7). 341–346. 7 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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