Keiji Terao

7.2k total citations
254 papers, 5.8k citations indexed

About

Keiji Terao is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Keiji Terao has authored 254 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 45 papers in Genetics and 42 papers in Immunology. Recurrent topics in Keiji Terao's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers) and Biochemical Acid Research Studies (20 papers). Keiji Terao is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers) and Biochemical Acid Research Studies (20 papers). Keiji Terao collaborates with scholars based in Japan, United States and India. Keiji Terao's co-authors include Munetaka Kunishima, Shohei Tani, Chiho Kawachi, Fumiaki Iwasaki, Yasuhiro Yoshikawa, Yoshiyuki Ishida, Sakae Uemura, Akio Toshimitsu, Fumiko Ono and Naohide Ageyama and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Keiji Terao

249 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiji Terao Japan 40 2.3k 977 682 552 531 254 5.8k
Takeshi Shimizu Japan 43 2.6k 1.2× 603 0.6× 751 1.1× 1.0k 1.8× 313 0.6× 431 7.5k
Christoph Weise Germany 46 3.7k 1.6× 435 0.4× 946 1.4× 847 1.5× 488 0.9× 177 6.5k
Matt Golding New Zealand 45 3.4k 1.5× 529 0.5× 230 0.3× 588 1.1× 286 0.5× 123 9.7k
Soo Young Choi South Korea 52 4.9k 2.2× 1.3k 1.3× 968 1.4× 1.3k 2.3× 631 1.2× 521 11.1k
Peter de Witte Belgium 54 3.0k 1.3× 490 0.5× 773 1.1× 268 0.5× 351 0.7× 279 9.5k
Noelle S. Williams United States 45 4.3k 1.9× 483 0.5× 994 1.5× 309 0.6× 479 0.9× 113 6.9k
Atsushi Yamashita Japan 43 4.5k 2.0× 455 0.5× 810 1.2× 624 1.1× 854 1.6× 171 11.0k
Sunyoung Kim South Korea 42 6.4k 2.8× 648 0.7× 1.2k 1.8× 259 0.5× 747 1.4× 182 9.5k
R. Reid Townsend United States 39 3.9k 1.7× 896 0.9× 575 0.8× 819 1.5× 274 0.5× 69 6.0k
Mao Ye China 48 3.6k 1.6× 454 0.5× 615 0.9× 326 0.6× 171 0.3× 224 7.2k

Countries citing papers authored by Keiji Terao

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Terao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Terao

This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Terao. A scholar is included among the top collaborators of Keiji Terao 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 Keiji Terao. Keiji Terao 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.
Lüersen, Kai, Alexandra Fischer, Ilka E. Bauer, et al.. (2023). Soy Extract, Rich in Hydroxylated Isoflavones, Exhibits Antidiabetic Properties In Vitro and in Drosophila melanogaster In Vivo. Nutrients. 15(6). 1392–1392. 4 indexed citations
2.
Kumar, Vipul, Sunil C. Kaul, Yoshiyuki Ishida, et al.. (2023). Molecular insights to the anti-COVID-19 potential of α-, β- and γ-cyclodextrins. Journal of Biomolecular Structure and Dynamics. 43(6). 2890–2900. 5 indexed citations
3.
Inoue, Yutaka, Takashi Tanikawa, Koichi Takao, et al.. (2023). Inclusion complexes of Ursolic acid with Cyclodextrin-based metal-organic Framework-1 enhance its solubility. Journal of Drug Delivery Science and Technology. 89. 104986–104986. 4 indexed citations
4.
Dhanjal, Jaspreet Kaur, Vipul Kumar, Huayue Zhang, et al.. (2022). A Low Dose Combination of Withaferin A and Caffeic Acid Phenethyl Ester Possesses Anti-Metastatic Potential In Vitro: Molecular Targets and Mechanisms. Cancers. 14(3). 787–787. 20 indexed citations
5.
Hashimoto, Yuki, et al.. (2021). Exercise Performance Upregulatory Effect of R-α-Lipoic Acid with γ-Cyclodextrin. Nutrients. 14(1). 21–21. 2 indexed citations
6.
7.
Ishida, Yoshiyuki, Daisuke Nakata, Keiji Terao, et al.. (2021). Preparation and Characterization of a Hybrid Complex of Cyclodextrin-Based Metal—Organic Frameworks-1 and Ascorbic Acid Derivatives. Materials. 14(23). 7309–7309. 6 indexed citations
8.
Garg, Sukant, Divya Adiga, Yoshiyuki Ishida, et al.. (2020). Anti-Stress, Glial- and Neuro-Differentiation Potential of Resveratrol: Characterization by Cellular, Biochemical and Imaging Assays. Nutrients. 12(3). 671–671. 4 indexed citations
9.
Ikuta, Naoko, et al.. (2017). Time Course Effect of R-Alpha-Lipoic Acid on Cellular Metabolomics in Cultured Hepatoma Cells. Journal of Medicinal Food. 20(3). 211–222. 10 indexed citations
10.
Inoue, Yutaka, et al.. (2016). Effect of cyclodextrin on postprandial blood glucose and triglycerides. International Journal of Pharmacy. 6(22). 13–19. 1 indexed citations
11.
Ikuta, Naoko, Takatsugu Endo, Noriko Ogawa, et al.. (2015). Structural Analysis of Crystalline R(+)-α-Lipoic Acid-α-cyclodextrin Complex Based on Microscopic and Spectroscopic Studies. International Journal of Molecular Sciences. 16(10). 24614–24628. 12 indexed citations
12.
Ikuta, Naoko, Akira Tanaka, Noriko Ogawa, et al.. (2014). Spectroscopic Studies of R(+)-α-Lipoic Acid—Cyclodextrin Complexes. International Journal of Molecular Sciences. 15(11). 20469–20485. 33 indexed citations
13.
Osada, Naoki, Shigeki Nakagome, Shuhei Mano, et al.. (2013). Finding the Factors of Reduced Genetic Diversity on X Chromosomes of Macaca fascicularis : Male-Driven Evolution, Demography, and Natural Selection. Genetics. 195(3). 1027–1035. 14 indexed citations
14.
Muramatsu, Shin‐ichi, T. Okuno, Yutaka Suzuki, et al.. (2009). Multitracer assessment of dopamine function after transplantation of embryonic stem cell‐derived neural stem cells in a primate model of Parkinson's disease. Synapse. 63(7). 541–548. 36 indexed citations
15.
Sato, Yuki, Yuichi Tanaka, Yusuke Tozuka, et al.. (2009). White matter activated glial cells produce BDNF in a stroke model of monkeys. Neuroscience Research. 65(1). 71–78. 43 indexed citations
16.
Terao, Keiji. (2009). Dynamic changes in early development of immune system in macaque monkeys : The significance from standpoint of preclinical toxicity test using nonhuman primates. The Journal of Toxicological Sciences. 34. 2 indexed citations
17.
Nomiyama, Hisayuki, Retsu Miura, Naoki Osada, et al.. (2007). Identification of a Novel CXCL1-Like Chemokine Gene in Macaques and Its Inactivation in Hominids. Journal of Interferon & Cytokine Research. 27(1). 32–37. 4 indexed citations
18.
Ayyagari, Radha, Rando Allikmets, H. Okamoto, et al.. (2004). Linkage and mutation analysis to identify the gene associated with macular degeneration segregating in a cynomolgus monkey (Macaca fascicularis) pedigree.. Investigative Ophthalmology & Visual Science. 45(13). 1825–1825. 1 indexed citations
19.
Koyama, Takamasa, et al.. (2001). Behavioral compensations in a positional learning and memory task by aged monkeys. Behavioural Processes. 56(1). 15–22. 6 indexed citations
20.
Kasai, Fumio, Eiichi Takahashi, Kumiko Koyama, et al.. (2000). Comparative FISH mapping of the ancestral fusion point of human chromosome 2. Chromosome Research. 8(8). 727–735. 20 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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