Mitiko Go

25 total papers · 484 total citations
15 papers, 415 citations indexed

About

Mitiko Go is a scholar working on Molecular Biology, Organic Chemistry and Plant Science. According to data from OpenAlex, Mitiko Go has authored 15 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Plant Science. Recurrent topics in Mitiko Go's work include Studies on Chitinases and Chitosanases (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mitiko Go is often cited by papers focused on Studies on Chitinases and Chitosanases (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mitiko Go collaborates with scholars based in Japan, United States and Cambodia. Mitiko Go's co-authors include Mizuho Nosaka, Kei Yura, Satoshi Kaneko, Tsuyoshi Shirai, Atsushi Kuno, Zui Fujimoto, Isao Kusakabe, Hiroshi Mizuno, Takuro Yaoi and Tairo Oshima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Mitiko Go

15 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Mitiko Go 332 79 78 74 36 15 415
Justin Acheson 355 1.1× 52 0.7× 39 0.5× 46 0.6× 49 1.4× 13 494
W. Chuenchor 268 0.8× 60 0.8× 126 1.6× 50 0.7× 48 1.3× 14 411
William L. McLellan 257 0.8× 50 0.6× 63 0.8× 34 0.5× 59 1.6× 18 409
Hideaki Hashimoto 357 1.1× 67 0.8× 116 1.5× 21 0.3× 64 1.8× 16 480
Rosalie Lipsh‐Sokolik 402 1.2× 51 0.6× 46 0.6× 94 1.3× 26 0.7× 12 490
Bence Asbóth 265 0.8× 44 0.6× 59 0.8× 69 0.9× 39 1.1× 24 415
Md. Suhail Alam† 196 0.6× 33 0.4× 40 0.5× 40 0.5× 18 0.5× 18 458
Daniela V. Rial 426 1.3× 69 0.9× 22 0.3× 39 0.5× 64 1.8× 20 494
M. A. Mitz 270 0.8× 56 0.7× 52 0.7× 28 0.4× 57 1.6× 17 440
Prakash Chandra Rathi 348 1.0× 47 0.6× 54 0.7× 123 1.7× 20 0.6× 12 494

Countries citing papers authored by Mitiko Go

Since Specialization
Citations

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

Fields of papers citing papers by Mitiko Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitiko Go

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