Masashi Goto

5.3k total citations
235 papers, 4.2k citations indexed

About

Masashi Goto is a scholar working on Bioengineering, Electrochemistry and Biomedical Engineering. According to data from OpenAlex, Masashi Goto has authored 235 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Bioengineering, 32 papers in Electrochemistry and 32 papers in Biomedical Engineering. Recurrent topics in Masashi Goto's work include Analytical Chemistry and Sensors (33 papers), Electrochemical Analysis and Applications (32 papers) and Electrochemical sensors and biosensors (20 papers). Masashi Goto is often cited by papers focused on Analytical Chemistry and Sensors (33 papers), Electrochemical Analysis and Applications (32 papers) and Electrochemical sensors and biosensors (20 papers). Masashi Goto collaborates with scholars based in Japan, United States and United Kingdom. Masashi Goto's co-authors include Daido Ishii, Keith B. Oldham, Yukihiro Esaka, Kenji Kano, Toyohide Takeuchi, Wataru Kajiyama, Hideyuki Nomura, Seizaburo Kashiwagi, Bunji Uno and Yukio Ito and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Masashi Goto

219 papers receiving 3.9k citations

Peers

Masashi Goto
Comparison fields: 5 of 165
  • Spectroscopy 639
  • Electrochemistry 615
  • Electrical and Electronic Engineering 612
  • Molecular Biology 540
  • Biomedical Engineering 502
Replace Yukio Saitō with:
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Kazuhiko Tanaka Japan
James T. Stewart United States
Krystyna Pawlak Poland
Akira Yamada Japan
Hiroshi Kawaguchi Japan
Akira Miyazaki Japan
Richard B. Thompson United States
David G. Levitt United States
Yukio Saitō Japan View profile →
Citations per field, relative to Masashi Goto
Masashi Goto · 1×
Citations per year, relative to Masashi Goto
Masashi Goto · 1×

Countries citing papers authored by Masashi Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Goto. A scholar is included among the top collaborators of Masashi 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 Masashi Goto. Masashi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 3
3 53
4 6
5 1
6 0
7 1
8 0
9
Spectroelectrochemical approach for analysing the reaction kinetics of N, N-dimethyl-p-anisidine cation radical with the neutral molecule in acetonitrile
1
10 2
11 2
12 4
13
Present Development of Statistical Graphics: Creation of Clients and Methods for Visual Representation
1
14 2
15 1
16 3
17 1
18 2
19 2
20 2

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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