Hiroshi Takei

2.5k total citations
91 papers, 1.9k citations indexed

About

Hiroshi Takei is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Hiroshi Takei has authored 91 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Molecular Biology. Recurrent topics in Hiroshi Takei's work include Hemoglobin structure and function (9 papers), Systemic Lupus Erythematosus Research (6 papers) and Hemoglobinopathies and Related Disorders (6 papers). Hiroshi Takei is often cited by papers focused on Hemoglobin structure and function (9 papers), Systemic Lupus Erythematosus Research (6 papers) and Hemoglobinopathies and Related Disorders (6 papers). Hiroshi Takei collaborates with scholars based in Japan, United States and Switzerland. Hiroshi Takei's co-authors include Fujiro Sendo, Akemi Araki, Dominique P. Pioletti, Akitada Ichinose, Hiroshi Watanabe, Soon Yong Kwon, K‐L. Paul Sung, Douglas E. Wood, Yuji Takeda and K.L. Paul Sung and has published in prestigious journals such as The Lancet, Nucleic Acids Research and The Journal of Immunology.

In The Last Decade

Hiroshi Takei

81 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Takei Japan 24 576 572 443 327 273 91 1.9k
Karen Fox-Talbot United States 31 725 1.3× 1.2k 2.1× 552 1.2× 300 0.9× 321 1.2× 54 3.6k
Melanie L. Hart Germany 31 569 1.0× 506 0.9× 550 1.2× 175 0.5× 239 0.9× 69 2.4k
Anto De Pol Italy 34 570 1.0× 1.3k 2.2× 220 0.5× 172 0.5× 293 1.1× 90 2.8k
Carmelo Mavilia Italy 27 268 0.5× 572 1.0× 584 1.3× 182 0.6× 110 0.4× 49 2.3k
Jill E. Bishop United States 32 489 0.8× 796 1.4× 164 0.4× 615 1.9× 219 0.8× 42 3.0k
Norbert Schütze Germany 32 611 1.1× 1.1k 1.9× 174 0.4× 219 0.7× 380 1.4× 77 2.8k
Anca Sindrilaru Germany 26 350 0.6× 681 1.2× 1.1k 2.5× 239 0.7× 132 0.5× 50 3.0k
Catarina R. Almeida Portugal 23 303 0.5× 539 0.9× 583 1.3× 403 1.2× 377 1.4× 62 1.9k
Martina Seifert Germany 28 655 1.1× 856 1.5× 403 0.9× 89 0.3× 177 0.6× 87 2.3k
Najma Latif United Kingdom 28 630 1.1× 761 1.3× 127 0.3× 213 0.7× 411 1.5× 73 2.5k

Countries citing papers authored by Hiroshi Takei

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Takei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Takei. A scholar is included among the top collaborators of Hiroshi Takei 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 Hiroshi Takei. Hiroshi Takei 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.
Ono, Yūichi, Ryuta Saito, Noriyasu Seki, et al.. (2024). Interleukin-17A is a potential therapeutic target predicted by proteomics for systemic sclerosis patients at high risk of pulmonary arterial hypertension. Scientific Reports. 14(1). 29484–29484. 4 indexed citations
2.
Miyakoshi, Naohisa, Kota Suda, Daisuke Kudo, et al.. (2020). A nationwide survey on the incidence and characteristics of traumatic spinal cord injury in Japan in 2018. Spinal Cord. 59(6). 626–634. 72 indexed citations
3.
Takei, Hiroshi, Hidekata Yasuoka, Keiko Yoshimoto, & Tsutomu Takeuchi. (2020). Aryl hydrocarbon receptor signals attenuate lung fibrosis in the bleomycin-induced mouse model for pulmonary fibrosis through increase of regulatory T cells. Arthritis Research & Therapy. 22(1). 20–20. 35 indexed citations
4.
5.
Furukawa, Takashi, Kazuo Ito, Junichi Hashimoto, et al.. (2009). Absence of Biglycan Accelerates the Degenerative Process in Mouse Intervertebral Disc. Spine. 34(25). E911–E917. 44 indexed citations
6.
7.
Pioletti, Dominique P., Lorenzo M. Leoni, Davide Genini, et al.. (2002). Gene expression analysis of osteoblastic cells contacted by orthopedic implant particles. Journal of Biomedical Materials Research. 61(3). 408–420. 50 indexed citations
8.
Sasaki, Hayato, et al.. (2000). Os Odontoideum With Cerebellar Infarction. Spine. 25(9). 1178–1181. 22 indexed citations
9.
Pioletti, Dominique P., Hiroshi Takei, Tong Lin, et al.. (2000). The effects of calcium phosphate cement particles on osteoblast functions. Biomaterials. 21(11). 1103–1114. 105 indexed citations
10.
Maehira, Fusako, Minoru Oshiro, Tsuyoshi Asato, et al.. (2000). A Possible Interaction of Thioredoxin with VDUP1 in HeLa Cells Detected in a Yeast Two-Hybrid System. Biochemical and Biophysical Research Communications. 271(3). 796–800. 106 indexed citations
11.
Koyama, Teruyuki, et al.. (1998). Cardiac Rupture Caused by Blunt Trauma: Pitfalls in Diagnosis and Treatment.. Japanese Journal of Cardiovascular Surgery. 27(6). 345–350. 1 indexed citations
12.
Kawada, T, Teruyuki Koyama, Shigeki Miyamoto, et al.. (1996). Operative Results of Stanford Type A Aortic Dissection Associated with a Compromised Coronary Artery. Annals of Thoracic and Cardiovascular Surgery. 2(4). 255–260. 1 indexed citations
13.
14.
Kawada, T, Kengo Nishimura, Shota Nakamura, et al.. (1993). [Surgical treatment of type A aortic dissection combined with aortic root lesions].. PubMed. 41(8). 1341–6. 1 indexed citations
15.
Eguchi, Yukinori, et al.. (1993). DNA Amplification and Nucleotide Sequence Determination of a Region of Mitochondrial DNA in the Sea Snake, Laticauda Semifasciata. Nagasaki University's Academic Output SITE (Nagasaki University). 38(2). 175–178. 1 indexed citations
16.
Sanguansermsri, Torpong, et al.. (1993). [原著］Molecular Characterization and the Severity of Hemoglobin H Disease in Northern Thailand. 13(2). 159–166.
17.
Eguchi, Yukinori, Yasutsugu Nakashima, Minoru Oshiro, & Hiroshi Takei. (1990). Complete nucleotide sequence of a pigeon alpha-globin cDNA. Nucleic Acids Research. 18(23). 7135–7135. 2 indexed citations
18.
Toda, Takayoshi, et al.. (1989). Effects of dietary lard and fish oil on the serum lipid level and aortic tissue : a comparison in quail animal model. Nagasaki University's Academic Output SITE (Nagasaki University). 34(2). 99–104. 1 indexed citations
19.
Toda, Takayoshi, et al.. (1989). Atherosclerosis as a Proliferative Disease of Arterial Intimal Cells : An ultrastructural, immunohistochemical, and in situ hybridization study. Acta medica Nagasakiensia. 34(2). 250–256. 2 indexed citations
20.
Oshiro, Minoru, Yukinori Eguchi, Takayoshi Toda, Hiroshi Takei, & Yasutsugu Nakashima. (1989). Molecular Cloning of the Japanese Quail α A Globin cDNA. Acta medica Nagasakiensia. 34(2). 18–23. 1 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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