Yoichi Satomura

29 total papers · 555 total citations
24 papers, 423 citations indexed

About

Yoichi Satomura is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Yoichi Satomura has authored 24 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Artificial Intelligence. Recurrent topics in Yoichi Satomura's work include Hepatitis B Virus Studies (7 papers), Biomedical Text Mining and Ontologies (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yoichi Satomura is often cited by papers focused on Hepatitis B Virus Studies (7 papers), Biomedical Text Mining and Ontologies (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yoichi Satomura collaborates with scholars based in Japan, United States and Germany. Yoichi Satomura's co-authors include Masao Omata, Takamichi Hattori, Y Sakakibara, Keizo Hirayama, Shohei Watanabe, Yasuhiro Honda, John W. Severinghaus, Masao Omata, Satoshi Kuwabara and Kimiyoshi Arimura and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Applied Physiology.

In The Last Decade

Yoichi Satomura

23 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
Yoichi Satomura	114	112	107	95	67	24	423
Wei Zhou	41 0.4×	46 0.4×	65 0.6×	98 1.0×	57 0.9×	31	456
Jianhong Wang	60 0.5×	59 0.5×	12 0.1×	73 0.8×	33 0.5×	40	440
Serge Désarnaud	52 0.5×	58 0.5×	22 0.2×	28 0.3×	46 0.7×	13	425
Valerio Basile	58 0.5×	39 0.3×	31 0.3×	90 0.9×	53 0.8×	37	427
Motohiro Kano	41 0.4×	30 0.3×	48 0.4×	105 1.1×	52 0.8×	28	468
Yu-Fan Cheng	42 0.4×	71 0.6×	24 0.2×	43 0.5×	22 0.3×	21	403
Patrick Stoll	51 0.4×	19 0.2×	16 0.1×	151 1.6×	25 0.4×	22	477
Chae Young Kim	82 0.7×	40 0.4×	15 0.1×	49 0.5×	74 1.1×	37	385
Jill P. J. M. Hikspoors	99 0.9×	37 0.3×	7 0.1×	144 1.5×	18 0.3×	32	475
Silke Klose	90 0.8×	7 0.1×	80 0.7×	37 0.4×	12 0.2×	34	475

Countries citing papers authored by Yoichi Satomura

Since Specialization

Citations

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

Fields of papers citing papers by Yoichi Satomura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Satomura

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Satomura. A scholar is included among the top collaborators of Yoichi Satomura 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 Yoichi Satomura. Yoichi Satomura 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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