T. Suzuki

14.4k total citations · 2 hit papers
87 papers, 3.5k citations indexed

About

T. Suzuki is a scholar working on Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Condensed Matter Physics. According to data from OpenAlex, T. Suzuki has authored 87 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 15 papers in Nuclear and High Energy Physics and 12 papers in Condensed Matter Physics. Recurrent topics in T. Suzuki's work include Cold Atom Physics and Bose-Einstein Condensates (20 papers), Quantum, superfluid, helium dynamics (19 papers) and Nuclear physics research studies (13 papers). T. Suzuki is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (20 papers), Quantum, superfluid, helium dynamics (19 papers) and Nuclear physics research studies (13 papers). T. Suzuki collaborates with scholars based in Japan, United States and Germany. T. Suzuki's co-authors include Toshio Suda, Ken Ninomiya, Takeshi Miyamoto, Yoshiaki Toyama, Nobuyuki Fujita, Mitsuru Yagi, Kana Miyamoto, Kozo Morita, Hiroshi Kuratsuji and Hiroyuki Yabu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

T. Suzuki

82 papers receiving 3.5k citations

Hit Papers

DC-STAMP is essential for cell–cell fusion in osteoclasts... 2005 2026 2012 2019 2005 2016 200 400 600

Peers

T. Suzuki
Steven O. Smith United States
John W. Wright United States
Peter Styles United Kingdom
Franklyn A. Howe United Kingdom
Éva Kovács Australia
Klaus Becker Germany
Steven O. Smith United States
T. Suzuki
Citations per year, relative to T. Suzuki T. Suzuki (= 1×) peers Steven O. Smith

Countries citing papers authored by T. Suzuki

Since Specialization
Citations

This map shows the geographic impact of T. Suzuki'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 T. Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Suzuki more than expected).

Fields of papers citing papers by T. Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of T. Suzuki. A scholar is included among the top collaborators of T. Suzuki 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 T. Suzuki. T. Suzuki 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.
Yamaguchi, Yoshiaki, T. Suzuki, Satoru Masubuchi, et al.. (2023). An intact pituitary vasopressin system is critical for building a robust circadian clock in the suprachiasmatic nucleus. Proceedings of the National Academy of Sciences. 120(43). e2308489120–e2308489120. 1 indexed citations
2.
Abe, Yoshifumi, Sho Yagishita, Hiromi Sano, et al.. (2023). Shared GABA transmission pathology in dopamine agonist- and antagonist-induced dyskinesia. Cell Reports Medicine. 4(10). 101208–101208. 9 indexed citations
3.
Suzuki, T. & Kenji F. Tanaka. (2022). Downregulation of Bdnf Expression in Adult Mice Causes Body Weight Gain. Neurochemical Research. 47(9). 2645–2655. 2 indexed citations
4.
Zhang, Zhixin, Jamie M. Kass, Stefano Mammola, et al.. (2021). Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish. Diversity and Distributions. 27(4). 684–695. 56 indexed citations
5.
Kosugi, Kenzo, Keitaro Yoshida, T. Suzuki, et al.. (2020). Activation of ventral CA1 hippocampal neurons projecting to the lateral septum during feeding. Hippocampus. 31(3). 294–304. 17 indexed citations
6.
Zhang, Kai, Chun Yang, Lijia Chang, et al.. (2020). Essential role of microglial transforming growth factor-β1 in antidepressant actions of (R)-ketamine and the novel antidepressant TGF-β1. Translational Psychiatry. 10(1). 32–32. 94 indexed citations
7.
Kawashima, Motoko, Toshihiro Imada, T. Suzuki, et al.. (2019). Enriched environment alleviates stress-induced dry-eye through the BDNF axis. Scientific Reports. 9(1). 3422–3422. 14 indexed citations
8.
Ishii, Masayoshi, et al.. (2017). Accuracy of Global Upper Ocean Heat Content Estimation Expected from Present Observational Data Sets. SOLA. 13(0). 163–167. 140 indexed citations
9.
Olsen, Are, Robert M. Key, Steven van Heuven, et al.. (2016). The Global Ocean Data Analysis Project version 2 (GLODAPv2) – an internallyconsistent data product for the world ocean. Earth system science data. 8(2). 297–323. 443 indexed citations breakdown →
10.
Olsen, Are, Robert M. Key, Steven van Heuven, et al.. (2016). An internally consistent data product for the world ocean: the Global Ocean Data Analysis Project, version 2 (GLODAPv2). Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 8 indexed citations
11.
Zhan, Hong, Kenichi Aizawa, Junqing Sun, et al.. (2016). Ataxia telangiectasia mutated in cardiac fibroblasts regulates doxorubicin-induced cardiotoxicity. Figshare. 1 indexed citations
12.
Yamaguchi, Yoshiaki, T. Suzuki, Yasutaka Mizoro, et al.. (2013). Mice Genetically Deficient in Vasopressin V1a and V1b Receptors Are Resistant to Jet Lag. Science. 342(6154). 85–90. 255 indexed citations
13.
Fujita, Nobuyuki, Jun-ichi Imai, T. Suzuki, et al.. (2008). Vascular endothelial growth factor-A is a survival factor for nucleus pulposus cells in the intervertebral disc. Biochemical and Biophysical Research Communications. 372(2). 367–372. 67 indexed citations
14.
Iwasaki, Ryotaro, Ken Ninomiya, Kana Miyamoto, et al.. (2008). Cell fusion in osteoclasts plays a critical role in controlling bone mass and osteoblastic activity. Biochemical and Biophysical Research Communications. 377(3). 899–904. 47 indexed citations
15.
Miyamoto, Takeshi, Shigenori Nagai, Mikako Maruya, et al.. (2008). The role of DC-STAMP in maintenance of immune tolerance through regulation of dendritic cell function. International Immunology. 20(10). 1259–1268. 32 indexed citations
16.
Ninomiya, Ken, Takeshi Miyamoto, Jun-ichi Imai, et al.. (2007). Osteoclastic activity induces osteomodulin expression in osteoblasts. Biochemical and Biophysical Research Communications. 362(2). 460–466. 37 indexed citations
17.
18.
Yagi, Mitsuru, Takeshi Miyamoto, Katsuya Iwamoto, et al.. (2005). DC-STAMP is essential for cell–cell fusion in osteoclasts and foreign body giant cells. The Journal of Experimental Medicine. 202(3). 345–351. 717 indexed citations breakdown →
19.
Suzuki, T., et al.. (2001). A GIS modelling method applied to predicted landscape-level habitat preference. 6(2). 53–56. 2 indexed citations
20.
Abe, Hiroshi, Sato Honma, Ken‐ichi Honma, T. Suzuki, & Shizufumi Ebihara. (1999). Functional diversities of two activity components of circadian rhythm in genetical splitting mice (CS strain). Journal of Comparative Physiology A. 184(3). 243–251. 28 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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