M. Goto

77 total papers · 565 total citations
27 papers, 443 citations indexed

About

M. Goto is a scholar working on Molecular Biology, Clinical Biochemistry and Environmental Chemistry. According to data from OpenAlex, M. Goto has authored 27 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 3 papers in Environmental Chemistry. Recurrent topics in M. Goto's work include Metabolism and Genetic Disorders (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Biochemical and Molecular Research (2 papers). M. Goto is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Biochemical and Molecular Research (2 papers). M. Goto collaborates with scholars based in Japan, Germany and United States. M. Goto's co-authors include Kensuke Sugiura, Teppei Goto, Hiroshi Kasai, Shinya Matsuura, H. S. Forrest, Masayuki Hattori, Masashi Okamura, Mitsuo Hattori, Yoshiko Mizuno and Mario Zama and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and Chemosphere.

In The Last Decade

M. Goto

25 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
M. Goto 213 53 46 45 39 27 443
Thomas D. Lockwood 197 0.9× 28 0.5× 25 0.5× 47 1.0× 46 1.2× 26 473
Mikiko Ikeda 178 0.8× 17 0.3× 42 0.9× 17 0.4× 35 0.9× 34 455
Monique Saintot 186 0.9× 25 0.5× 68 1.5× 50 1.1× 36 0.9× 26 491
D. Godinger 166 0.8× 92 1.7× 42 0.9× 92 2.0× 77 2.0× 21 487
Alan B. Combs 122 0.6× 47 0.9× 26 0.6× 16 0.4× 30 0.8× 34 464
Fan Jin 191 0.9× 44 0.8× 33 0.7× 21 0.5× 20 0.5× 24 405
Ali Taravati 135 0.6× 55 1.0× 38 0.8× 41 0.9× 25 0.6× 26 385
Paul Melius 184 0.9× 55 1.0× 68 1.5× 20 0.4× 22 0.6× 49 458
Tetsuo Adachi 175 0.8× 29 0.5× 19 0.4× 52 1.2× 16 0.4× 25 399
Mahmoud Mohamed El-Merzabani 164 0.8× 41 0.8× 15 0.3× 16 0.4× 17 0.4× 27 411

Countries citing papers authored by M. Goto

Since Specialization
Citations

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

Fields of papers citing papers by M. Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Goto

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