Makoto Sato

8.6k total citations
307 papers, 6.7k citations indexed

About

Makoto Sato is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Makoto Sato has authored 307 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 79 papers in Cellular and Molecular Neuroscience and 38 papers in Physiology. Recurrent topics in Makoto Sato's work include Neuroscience and Neuropharmacology Research (42 papers), Growth Hormone and Insulin-like Growth Factors (26 papers) and Neuropeptides and Animal Physiology (22 papers). Makoto Sato is often cited by papers focused on Neuroscience and Neuropharmacology Research (42 papers), Growth Hormone and Insulin-like Growth Factors (26 papers) and Neuropeptides and Animal Physiology (22 papers). Makoto Sato collaborates with scholars based in Japan, United States and Canada. Makoto Sato's co-authors include Jiro Takahara, Masaya Tohyama, Michio Niimi, Koji Murao, Hideshi Yagi, Takashi Nagano, Koichi Noguchi, Kazuhiko Sasaki, Toshihiko Ishida and Hitomi Imachi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Makoto Sato

296 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Sato Japan 46 2.6k 1.8k 848 716 558 307 6.7k
Elisabetta Baldi Italy 58 2.2k 0.9× 1.7k 1.0× 513 0.6× 354 0.5× 808 1.4× 253 9.9k
Kimio Sugaya Japan 45 2.8k 1.1× 1.2k 0.7× 1.2k 1.4× 559 0.8× 260 0.5× 374 7.7k
Joseph F. DeBold United States 54 3.4k 1.3× 2.1k 1.2× 1.0k 1.2× 598 0.8× 1.1k 2.0× 203 13.0k
H. Kato Japan 40 2.6k 1.0× 795 0.4× 1.0k 1.2× 412 0.6× 919 1.6× 324 6.8k
Theresa L. Powell United States 68 4.6k 1.8× 1.5k 0.9× 1.3k 1.5× 779 1.1× 621 1.1× 277 14.8k
Sylvia Christakos United States 62 3.7k 1.4× 1.7k 1.0× 1.5k 1.8× 571 0.8× 1.1k 2.0× 172 12.8k
Cesar Labarca United States 31 5.9k 2.3× 2.3k 1.3× 890 1.0× 312 0.4× 637 1.1× 46 9.4k
Norman R. Saunders Australia 58 2.9k 1.1× 2.2k 1.2× 999 1.2× 440 0.6× 172 0.3× 248 9.8k
Takayuki Nakagawa Japan 45 1.9k 0.8× 2.1k 1.2× 1.9k 2.2× 972 1.4× 628 1.1× 246 7.1k
Wood Yee Chan Hong Kong 43 2.8k 1.1× 739 0.4× 593 0.7× 515 0.7× 255 0.5× 247 7.2k

Countries citing papers authored by Makoto Sato

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Sato. A scholar is included among the top collaborators of Makoto Sato 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 Makoto Sato. Makoto Sato 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.
Imai, Ayako, Hironori Izumi, Misato Yasumura, et al.. (2024). Cancer‐associated point mutations within the extracellular domain of PTPRD affect protein stability and HSPG interaction. The FASEB Journal. 38(7). e23609–e23609. 2 indexed citations
2.
Sato, Makoto, et al.. (2023). Pathological analysis of lesions in the exocrine pancreas of rats induced by Zinc Maltol. Journal of Toxicologic Pathology. 36(4). 205–211.
3.
Takeuchi, Seiji, et al.. (2022). Cell migration is impaired in XPA‐deficient cells. FASEB BioAdvances. 5(2). 53–61. 5 indexed citations
4.
Ishikawa, Yasuyuki, Hideshi Yagi, Tokuichi Iguchi, et al.. (2019). PIP3-Phldb2 is crucial for LTP regulating synaptic NMDA and AMPA receptor density and PSD95 turnover. Scientific Reports. 9(1). 4305–4305. 15 indexed citations
5.
Baba, Masayuki, Kazuki Nagayasu, Kana Yamamoto, et al.. (2019). Autism-associated protein kinase D2 regulates embryonic cortical neuron development. Biochemical and Biophysical Research Communications. 519(3). 626–632. 4 indexed citations
6.
Iguchi, Tokuichi, et al.. (2017). Developmental downregulation of LIS1 expression limits axonal extension and allows axon pruning. Biology Open. 6(7). 1041–1055. 5 indexed citations
7.
Komeda, Hidetsugu, Hirotaka Kosaka, Daisuke N. Saito, et al.. (2013). Episodic memory retrieval for story characters in high-functioning autism. Molecular Autism. 4(1). 20–20. 14 indexed citations
8.
Sato, Makoto, et al.. (2010). Tourism Development and Amenity Migration in Hill Stations : The case study of Sapa in Vietnam. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 7(7). 1–16. 3 indexed citations
9.
Kinebuchi, Takashi, et al.. (2006). Stimulation of DNA Strand Exchange by the Human TBPIP/Hop2-Mnd1 Complex. Journal of Biological Chemistry. 281(9). 5575–5581. 46 indexed citations
10.
Sayo, Yoshitaka, Koji Murao, Hitomi Imachi, et al.. (2002). The Multiple Endocrine Neoplasia Type 1 Gene Product, Menin, Inhibits Insulin Production in Rat Insulinoma Cells. Endocrinology. 143(6). 2437–2440. 52 indexed citations
11.
Takizawa, Hajime, Masashi Desaki, Takayuki Ohtoshi, et al.. (1998). Erythromycin and clarithromycin attenuate cytokine-induced endothelin-1 expression in human bronchial epithelial cells. European Respiratory Journal. 12(1). 57–63. 47 indexed citations
12.
Nagano, Takashi, Akira Nakamura, Yasutake Mori, et al.. (1998). Differentially expressed olfactomedin-related glycoproteins (Pancortins) in the brain. Molecular Brain Research. 53(1-2). 13–23. 54 indexed citations
13.
Takizawa, Hajime, Masashi Desaki, Takayuki Ohtoshi, et al.. (1997). Erythromycin Modulates IL-8 Expression in Normal and Inflamed Human Bronchial Epithelial Cells. American Journal of Respiratory and Critical Care Medicine. 156(1). 266–271. 187 indexed citations
14.
Inui, Ken‐ichi, et al.. (1993). Effect of MHS-G, an amino acids granule, on hepatic encephalopathy in portacaval anastomosis rats.. Folia Pharmacologica Japonica. 102(6). 379–388. 1 indexed citations
15.
Higashi, Kunio, et al.. (1993). Synthesis and antibacterial activity of new 2-substituted penems. I.. The Journal of Antibiotics. 46(11). 1740–1751. 2 indexed citations
16.
17.
Abe, Koichiro, et al.. (1986). The outline of JICST English version database service.. Journal of Information Processing and Management. 29(7). 555–566. 2 indexed citations
18.
Sato, Makoto, et al.. (1984). Production, purification and some properties of extracellular amylase of Schizophyllum commune. Journal of Fermentation Technology. 62(2). 165–170. 10 indexed citations
19.
IWAI, Zenta, et al.. (1982). An Adaptive Observer with Exponential Rate of Convergence. Transactions of the Society of Instrument and Control Engineers. 18(4). 343–348. 9 indexed citations
20.
Sato, Makoto, et al.. (1977). Selective blocking action of mercurials on the inhibitory postsynaptic response of cholinoceptive neurones in aplysia.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 39(7). 182–5. 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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