Daigo Sumi

111 total papers · 3.7k total citations
88 papers, 3.0k citations indexed

About

Daigo Sumi is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Daigo Sumi has authored 88 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 18 papers in Health, Toxicology and Mutagenesis and 18 papers in Physiology. Recurrent topics in Daigo Sumi's work include Genomics, phytochemicals, and oxidative stress (17 papers), Arsenic contamination and mitigation (17 papers) and Nitric Oxide and Endothelin Effects (15 papers). Daigo Sumi is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (17 papers), Arsenic contamination and mitigation (17 papers) and Nitric Oxide and Endothelin Effects (15 papers). Daigo Sumi collaborates with scholars based in Japan, United States and Bangladesh. Daigo Sumi's co-authors include Yoshito Kumagai, Akihisa Iguchi, Louis J. Ignarro, Toshio Hayashi, Hatsuyo Kano, Yasuhiro Shinkai, Navin Kumar Thakur, Hisako Matsui‐Hirai, Muthuvel Jayachandran and Seiichiro Himeno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Daigo Sumi

85 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Daigo Sumi 1.2k 490 458 436 377 88 3.0k
Qiang Zhang 2.0k 1.7× 254 0.5× 419 0.9× 502 1.2× 558 1.5× 98 3.8k
Sefa Küçükler 1.2k 1.0× 412 0.8× 662 1.4× 261 0.6× 215 0.6× 118 4.7k
Stine M. Ulven 1.3k 1.1× 827 1.7× 260 0.6× 956 2.2× 899 2.4× 126 3.7k
Peter J. Gillies 859 0.7× 931 1.9× 548 1.2× 501 1.1× 601 1.6× 70 3.4k
Samuel Santos Valença 867 0.7× 257 0.5× 463 1.0× 427 1.0× 282 0.7× 124 3.4k
Dai Nakae 1.9k 1.6× 425 0.9× 688 1.5× 344 0.8× 270 0.7× 188 5.0k
Shuhei Tomita 1.7k 1.4× 181 0.4× 201 0.4× 633 1.5× 305 0.8× 132 4.4k
Rong Li 1.2k 1.0× 364 0.7× 180 0.4× 253 0.6× 614 1.6× 98 3.1k
Kristian S. Bjerve 952 0.8× 1.5k 3.1× 577 1.3× 584 1.3× 463 1.2× 130 4.2k
Jin‐Ho Chung 977 0.8× 260 0.5× 419 0.9× 507 1.2× 150 0.4× 105 3.4k

Countries citing papers authored by Daigo Sumi

Since Specialization
Citations

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

Fields of papers citing papers by Daigo Sumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daigo Sumi

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