Nobuo Suzuki

7.5k total citations · 1 hit paper
434 papers, 5.6k citations indexed

About

Nobuo Suzuki is a scholar working on Molecular Biology, Immunology and Aquatic Science. According to data from OpenAlex, Nobuo Suzuki has authored 434 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 51 papers in Immunology and 42 papers in Aquatic Science. Recurrent topics in Nobuo Suzuki's work include Aquaculture Nutrition and Growth (31 papers), Environmental Toxicology and Ecotoxicology (29 papers) and Bone Metabolism and Diseases (24 papers). Nobuo Suzuki is often cited by papers focused on Aquaculture Nutrition and Growth (31 papers), Environmental Toxicology and Ecotoxicology (29 papers) and Bone Metabolism and Diseases (24 papers). Nobuo Suzuki collaborates with scholars based in Japan, India and United States. Nobuo Suzuki's co-authors include Atsuhiko Hattori, Masato Honda, Yuichi Sasayama, K Kita, Ajai K. Srivastav, Tadahide Kurokawa, Akihiko Ohta, Akira Kambegawa, Toshio Sekiguchi and Ikuo Igarashi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Nobuo Suzuki

407 papers receiving 5.4k citations

Hit Papers

Toxicities of Polycyclic ... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nobuo Suzuki 1.6k 800 631 498 475 434 5.6k
Han Wang 2.5k 1.5× 548 0.7× 644 1.0× 423 0.8× 216 0.5× 257 7.2k
John D. Bancroft 1.4k 0.9× 451 0.6× 633 1.0× 442 0.9× 349 0.7× 25 6.9k
Terry M. Mayhew 1.8k 1.1× 482 0.6× 2.1k 3.3× 669 1.3× 1.2k 2.6× 182 8.5k
Joel N. Meyer 3.2k 2.0× 1.8k 2.2× 587 0.9× 878 1.8× 116 0.2× 158 9.0k
Chung‐Der Hsiao 1.6k 1.0× 725 0.9× 401 0.6× 232 0.5× 414 0.9× 196 5.2k
Giuseppe Radaelli 754 0.5× 253 0.3× 701 1.1× 500 1.0× 916 1.9× 165 4.7k
Masahiro Murakami 2.0k 1.2× 288 0.4× 242 0.4× 254 0.5× 175 0.4× 322 6.5k
Inho Choi 3.6k 2.2× 606 0.8× 479 0.8× 1.1k 2.3× 118 0.2× 283 9.4k
Wenhao Zhou 2.2k 1.4× 322 0.4× 734 1.2× 348 0.7× 479 1.0× 366 7.2k
Jianghua Wang 2.3k 1.4× 564 0.7× 406 0.6× 839 1.7× 104 0.2× 165 6.0k

Countries citing papers authored by Nobuo Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Suzuki. A scholar is included among the top collaborators of Nobuo 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 Nobuo Suzuki. Nobuo 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
2.
Hattori, Atsuhiko & Nobuo Suzuki. (2024). Receptor-Mediated and Receptor-Independent Actions of Melatonin in Vertebrates. ZOOLOGICAL SCIENCE. 41(1). 105–116. 5 indexed citations
3.
Suzuki, Nobuo, Makiko Kakikawa, Sotoshi Yamada, et al.. (2024). Bone regeneration–enhancing effects of extremely low-frequency electromag- netic fields: Analysis using fish scales as a bone model. Biomedical Research. 45(5). 187–195.
4.
Hayashi, Kentarō, Soichi Watanabe, Kazutoshi Yoshitake, et al.. (2024). Epidermal distribution of tetrodotoxin-rich cells in newly hatched larvae of Takifugu spp.. Marine Biotechnology. 26(6). 1367–1374. 1 indexed citations
5.
Yazawa, Takashi, Yoshitaka Imamichi, Takeshi Kitano, et al.. (2023). Expression of Chrna9 is regulated by Tbx3 in undifferentiated pluripotent stem cells. Scientific Reports. 13(1). 1611–1611. 1 indexed citations
6.
Yoshida, Masaaki, Jun Hirayama, Yoichiro Kitani, et al.. (2023). Deep ocean water alters the cholesterol and mineral metabolism of squid Todarodes pacificus and suppresses its weight loss. Scientific Reports. 13(1). 7591–7591. 2 indexed citations
7.
Tanaka, Masahiro, Hiromi Kato, Nobuo Suzuki, et al.. (2021). Removal of tritium from vacuum vessel by RF heated plasmas in LHD. Physica Scripta. 96(12). 124007–124007. 4 indexed citations
8.
Yazawa, Takashi, Takahiro Sato, Takahiro Nemoto, et al.. (2021). 11-Ketotestosterone is a major androgen produced in porcine adrenal glands and testes. The Journal of Steroid Biochemistry and Molecular Biology. 210. 105847–105847. 13 indexed citations
9.
Sekiguchi, Toshio, Kei‐ichiro Kitamura, Yoichiro Kitani, et al.. (2018). α-Melanocyte-stimulating hormone promotes bone resorption resulting from increased osteoblastic and osteoclastic activities in goldfish. General and Comparative Endocrinology. 262. 99–105. 6 indexed citations
10.
Suzuki, Nobuo, et al.. (2014). Aerobic fitness and skewness of frequency distribution of continuously measured heart rate in adults with brain injury.. PubMed. 50(5). 535–41. 1 indexed citations
11.
Nagai, Takeshi, et al.. (2014). Collagen hydrolysates derived from Yezo sika deer (Cervus nippon yesoensis) tendon have highly health-promoting potentials.. International Food Research Journal. 21(4). 1395–1404. 4 indexed citations
12.
Suzuki, Nobuo, et al.. (2002). EFFECTS OF HORMONES RELATED TO BONE METABOLISM ON THE SCALE OSTEOCLASTIC AND OSTEOBLASTIC CELLS USING AN IN VITRO ASSAY SYSTEM WITH THE GOLDFISH SCALE. 94. 1 indexed citations
13.
Nomura, Jun, Shigeru Sugaya, Shunji Takahashi, et al.. (2001). Increased and decreased expression of CD69 and CD23, respectively, in gravity-stressed lymphocytes.. PubMed. 72(8). 727–32. 5 indexed citations
14.
Suzuki, Nobuo & Nikolaos Sofikitis. (1999). Protective Effects of Antioxidants on Testicular Functions of Varico- celized Rats. Yonago acta medica. 42(1). 87–94. 29 indexed citations
15.
Ishiyama, Keiki, et al.. (1999). Analyses of the transgenic rice plants expression antisense NADH-GOGAT RNA. Plant and Cell Physiology. 40. 2 indexed citations
16.
Ohnishi, K, Mitsuru Saito, Fumio Nomura, et al.. (1987). Effect of famotidine on hepatic hemodynamics and peptic ulcer.. PubMed. 82(5). 415–8. 9 indexed citations
17.
Suzuki, Nobuo, Masakazu Kurita, K. Yoshino, & Mai Yamaguchi. (1987). Speract binds exclusively to sperm tails and causes an electrophoretic mobility shift in a major sperm tail protein of sea urchins. ZOOLOGICAL SCIENCE. 4(4). 641–648. 19 indexed citations
18.
Oka, Akira, Nobuo Suzuki, & Tomowo Watanabe. (1980). Effect of fatty acids in rotifers on growth and fatty acid composition of larval ayu Plecoglossus altivelis.. Bulletin of the Japanese Society of Scientific Fisheries. 46(11). 1413–1418. 5 indexed citations
19.
Suzuki, Nobuo. (1963). Late Tertiary Maples from Northeastern Hokkaido, Japan. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 11(4). 683–693. 17 indexed citations
20.
Suzuki, Nobuo. (1962). A contribution to the neurobiological study on the acoustico-lateral area in the teleostean brain(Mugil cephalus).. 11(1). 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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