Yuto Suzuki

80 total papers · 502 total citations
50 papers, 347 citations indexed

About

Yuto Suzuki is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Yuto Suzuki has authored 50 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Cognitive Neuroscience. Recurrent topics in Yuto Suzuki's work include Heme Oxygenase-1 and Carbon Monoxide (8 papers), Neonatal Health and Biochemistry (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Yuto Suzuki is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (8 papers), Neonatal Health and Biochemistry (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Yuto Suzuki collaborates with scholars based in Japan, United Kingdom and France. Yuto Suzuki's co-authors include Nobuhiro Mikuni, Rei Enatsu, Kazuaki Taguchi, Yuki Enoki, Aya Kanno, Kazuaki Matsumoto, Hideki Muramatsu, H Sato, Makoto Nakao and Kohei Fujita and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yuto Suzuki

45 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Yuto Suzuki	89	58	46	40	37	50	347
Akiko Hachisuka	93 1.0×	22 0.4×	16 0.3×	26 0.7×	9 0.2×	63	382
Gabriela Soares	191 2.1×	15 0.3×	30 0.7×	34 0.8×	27 0.7×	29	366
Jiayu Li	104 1.2×	38 0.7×	7 0.2×	13 0.3×	14 0.4×	37	376
M Ohata	67 0.8×	43 0.7×	19 0.4×	6 0.1×	12 0.3×	24	324
Hong Jin	135 1.5×	103 1.8×	29 0.6×	19 0.5×	15 0.4×	34	346
Shijun Li	50 0.6×	17 0.3×	89 1.9×	5 0.1×	11 0.3×	38	326
Ayako Ishida	131 1.5×	6 0.1×	25 0.5×	19 0.5×	13 0.4×	24	368
Esra Sağlam	63 0.7×	24 0.4×	9 0.2×	6 0.1×	12 0.3×	72	396
Min‐Jee Kim	78 0.9×	24 0.4×	60 1.3×	18 0.5×	40 1.1×	42	305
Huifang Yang	73 0.8×	23 0.4×	13 0.3×	8 0.2×	5 0.1×	27	345

Countries citing papers authored by Yuto Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Yuto Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuto Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuto Suzuki. A scholar is included among the top collaborators of Yuto 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 Yuto Suzuki. Yuto Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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