Sumió Shinoda

365 total papers · 7.9k total citations
296 papers, 6.5k citations indexed

About

Sumió Shinoda is a scholar working on Endocrinology, Molecular Biology and Immunology. According to data from OpenAlex, Sumió Shinoda has authored 296 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Endocrinology, 85 papers in Molecular Biology and 55 papers in Immunology. Recurrent topics in Sumió Shinoda's work include Vibrio bacteria research studies (120 papers), Aquaculture disease management and microbiota (51 papers) and Polyamine Metabolism and Applications (24 papers). Sumió Shinoda is often cited by papers focused on Vibrio bacteria research studies (120 papers), Aquaculture disease management and microbiota (51 papers) and Polyamine Metabolism and Applications (24 papers). Sumió Shinoda collaborates with scholars based in Japan, Czechia and India. Sumió Shinoda's co-authors include Shin-ichi Miyoshi, Shin‐ichi Miyoshi, Yasukazu Saito, Shigeo Yamamoto, Thandavarayan Ramamurthy, Gururaja Perumal Pazhani, Ken‐ichi Tomochika, S Miyoshi, Tetsu Yamakawa and Amit Ghosh and has published in prestigious journals such as Journal of the American Chemical Society, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Sumió Shinoda

291 papers receiving 6.2k citations

Author Peers

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

Author Last Decade Papers Cites
Sumió Shinoda 2.9k 2.2k 1.8k 909 636 296 6.5k
Youhei Takeda 3.4k 1.2× 819 0.4× 1.7k 1.0× 1.4k 1.5× 523 0.8× 184 8.0k
Afsar Ali 2.0k 0.7× 885 0.4× 1.1k 0.6× 470 0.5× 254 0.4× 107 3.5k
Lu Feng 2.1k 0.7× 2.6k 1.2× 356 0.2× 954 1.0× 781 1.2× 192 6.2k
Takeshi Honda 4.7k 1.6× 3.3k 1.5× 2.8k 1.6× 1.4k 1.6× 1.2k 1.9× 337 9.0k
Michael P. Jennings 930 0.3× 5.3k 2.4× 1.3k 0.7× 367 0.4× 1.6k 2.5× 291 11.2k
Manfred Nimtz 962 0.3× 7.1k 3.2× 729 0.4× 975 1.1× 1.3k 2.0× 251 11.4k
Bin Liu 1.6k 0.6× 1.7k 0.8× 348 0.2× 862 0.9× 644 1.0× 227 5.0k
Lennart Kenne 864 0.3× 3.7k 1.7× 506 0.3× 1.4k 1.5× 330 0.5× 243 8.1k
Bart Devreese 358 0.1× 5.9k 2.7× 811 0.5× 1.0k 1.2× 1.2k 1.9× 307 10.9k
Shelley M. Payne 3.7k 1.3× 3.2k 1.4× 755 0.4× 1.0k 1.1× 2.6k 4.1× 144 8.6k

Countries citing papers authored by Sumió Shinoda

Since Specialization
Citations

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

Fields of papers citing papers by Sumió Shinoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumió Shinoda

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