Yoji Hakamata

4.4k total citations
129 papers, 3.5k citations indexed

About

Yoji Hakamata is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Yoji Hakamata has authored 129 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 36 papers in Genetics and 31 papers in Surgery. Recurrent topics in Yoji Hakamata's work include Virus-based gene therapy research (16 papers), Neuroscience and Neuropharmacology Research (13 papers) and Animal Genetics and Reproduction (13 papers). Yoji Hakamata is often cited by papers focused on Virus-based gene therapy research (16 papers), Neuroscience and Neuropharmacology Research (13 papers) and Animal Genetics and Reproduction (13 papers). Yoji Hakamata collaborates with scholars based in Japan, United States and United Kingdom. Yoji Hakamata's co-authors include Junichi Nakai, Eiji Kobayashi, Hiroshi Takeshima, Takashi Murakami, Keiji Imoto, Masafumi Takahashi, Shosaku Numa, Umeo Ito, Toshiaki Imagawa and Munekazu Shigekawa and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yoji Hakamata

128 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoji Hakamata Japan 30 1.9k 685 666 588 356 129 3.5k
David R. Manning United States 45 4.1k 2.2× 1.2k 1.8× 449 0.7× 334 0.6× 625 1.8× 76 5.5k
Kurenai Tanji United States 39 3.5k 1.8× 618 0.9× 390 0.6× 257 0.4× 420 1.2× 119 5.2k
Guangju Ji China 33 2.3k 1.2× 585 0.9× 176 0.3× 332 0.6× 586 1.6× 99 3.7k
T. Voyno-Yasenetskaya United States 36 2.7k 1.4× 751 1.1× 195 0.3× 274 0.5× 286 0.8× 65 4.4k
Rusty L. Montgomery United States 24 5.3k 2.8× 518 0.8× 770 1.2× 338 0.6× 388 1.1× 31 6.4k
Roberto Ravazzolo Italy 39 3.6k 1.9× 882 1.3× 936 1.4× 754 1.3× 510 1.4× 206 6.5k
Erik M. Schwiebert United States 45 3.3k 1.7× 680 1.0× 987 1.5× 430 0.7× 371 1.0× 84 6.3k
Ke‐Yu Deng China 31 1.7k 0.9× 186 0.3× 335 0.5× 314 0.5× 232 0.7× 72 3.0k
Ingo Kurth Germany 31 1.6k 0.9× 730 1.1× 399 0.6× 174 0.3× 109 0.3× 110 3.5k
Ralph Witzgall Germany 35 3.4k 1.8× 434 0.6× 1.8k 2.7× 337 0.6× 223 0.6× 95 5.2k

Countries citing papers authored by Yoji Hakamata

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Hakamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoji Hakamata

This figure shows the co-authorship network connecting the top 25 collaborators of Yoji Hakamata. A scholar is included among the top collaborators of Yoji Hakamata 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 Yoji Hakamata. Yoji Hakamata 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.
Ishii, Masami, et al.. (2024). A neural cell automated analysis system based on pathological specimens in a gerbil brain ischemia model. Acta Cirúrgica Brasileira. 39. e394224–e394224. 1 indexed citations
2.
Hiraide, Takahiro, Motoaki Sano, Keiichi Fukuda, et al.. (2024). CXCL12/CXCR4 pathway as a novel therapeutic target for RNF213-associated pulmonary arterial hypertension. Scientific Reports. 14(1). 26604–26604. 2 indexed citations
3.
Ohara, Masayuki, et al.. (2023). A rat model of dual-flow liver machine perfusion system. Acta Cirúrgica Brasileira. 38. e387723–e387723. 1 indexed citations
4.
Iwai, Satomi, Eiji Kobayashi, Yoji Hakamata, et al.. (2023). Direct evidence of hydrogen absorption from the skin – a pig study. 8(1). 9–17. 1 indexed citations
5.
Hakamata, Yoji, et al.. (2023). A case of adrenal lymphangioma successfully treated with laparoscopic partial adrenalectomy. IJU Case Reports. 6(6). 341–344. 1 indexed citations
7.
Sugimoto, Shinya, Eiji Kobayashi, Masayuki Fujii, et al.. (2021). An organoid-based organ-repurposing approach to treat short bowel syndrome. Nature. 592(7852). 99–104. 113 indexed citations
8.
Isobe, Sarasa, Masaharu Kataoka, Jin Endo, et al.. (2019). Endothelial–Mesenchymal Transition Drives Expression of CD44 Variant and xCT in Pulmonary Hypertension. American Journal of Respiratory Cell and Molecular Biology. 61(3). 367–379. 27 indexed citations
9.
Hakamata, Yoji, et al.. (2013). Effectiveness of Care Bundles in Preventing Ventilator-Associated Pneumonia in The Intensive Care Unit. Japanese Journal of Infection Prevention and Control. 28(5). 267–272.
10.
Arao, Yukitomo, Yoji Hakamata, Yuka Igarashi, et al.. (2009). Characterization of hepatic sexual dimorphism in Alb-DsRed2 transgenic rats. Biochemical and Biophysical Research Communications. 382(1). 46–50. 2 indexed citations
11.
Kuramochi, Takashi, Shu Hashimoto, Ichiro Miyoshi, et al.. (2006). Establishment and characterization of CAG/EGFP transgenic rabbit line. Transgenic Research. 16(1). 115–120. 19 indexed citations
12.
Sato, Yuki, Keiji Matsui, Takashi Ajiki, et al.. (2005). Can a bone marrow cell contribute to organ regeneration? In vivo analysis using transgenic rats with reporter genes. Transplantation Proceedings. 37(1). 273–275. 4 indexed citations
13.
Shimizu, Hisashi, Masafumi Takahashi, Shin’ichi Takeda, et al.. (2004). MYCOPHENOLATE MOFETIL PREVENTS TRANSPLANT ARTERIOSCLEROSIS BY DIRECT INHIBITION OF VASCULAR SMOOTH MUSCLE CELL PROLIFERATION1. Transplantation. 77(11). 1661–1667. 56 indexed citations
14.
15.
Inoue, Seiichiro, Kazunori Tahara, Hisashi Shimizu, et al.. (2003). Rat liver transplantation for total vascular reconstruction, using a suture method. Microsurgery. 23(5). 470–475. 16 indexed citations
16.
Sato, Yuki, Yuka Igarashi, Yoji Hakamata, et al.. (2003). Establishment of Alb-DsRed2 transgenic rat for liver regeneration research. Biochemical and Biophysical Research Communications. 311(2). 478–481. 31 indexed citations
17.
Iwamoto, Sadahiko, Maki Kumada, Toyomi Kamesaki, et al.. (2002). Rat Encodes the Paralogous Gene Equivalent of the Human Histo-blood Group ABO Gene. Journal of Biological Chemistry. 277(48). 46463–46469. 20 indexed citations
18.
Ichida, Masaru, Yoji Hakamata, Morisada Hayakawa, et al.. (2000). Differential Regulation of Exonic Regulatory Elements for Muscle-specific Alternative Splicing during Myogenesis and Cardiogenesis. Journal of Biological Chemistry. 275(21). 15992–16001. 23 indexed citations
19.
Hozumi, Yasuo, Mikihiko Kawano, Yoji Hakamata, Michio Miyata, & V. Craig Jordan. (2000). Tamoxifen Inhibits Lipoprotein Activity: In vivo and in vitro Studies. Hormone Research in Paediatrics. 53(1). 36–39. 16 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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