Mitsuaki Goto

1.4k total citations
55 papers, 1.2k citations indexed

About

Mitsuaki Goto is a scholar working on Molecular Biology, Organic Chemistry and Surgery. According to data from OpenAlex, Mitsuaki Goto has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 11 papers in Organic Chemistry and 10 papers in Surgery. Recurrent topics in Mitsuaki Goto's work include RNA Interference and Gene Delivery (14 papers), Liver physiology and pathology (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Mitsuaki Goto is often cited by papers focused on RNA Interference and Gene Delivery (14 papers), Liver physiology and pathology (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Mitsuaki Goto collaborates with scholars based in Japan, South Korea and India. Mitsuaki Goto's co-authors include Toshihiro Akaike, Hirohiko Ise, Toshihiro Akaike, Kazukiyo Kobayashi, Chong‐Su Cho, Jun Yang, Chong-Su Cho, Shuhei Yamada, Junzo Sunamoto and Takeshi Endo and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Macromolecules.

In The Last Decade

Mitsuaki Goto

55 papers receiving 1.2k citations

Peers

Mitsuaki Goto
Comparison fields: 5 of 91
  • Molecular Biology 554
  • Biomaterials 380
  • Organic Chemistry 306
  • Biomedical Engineering 290
  • Surgery 198
Replace Sandro Sieber with:
Sandro Sieber Switzerland
Qingsong Yu China
Sang Mun Bae South Korea
Sarwat F. Khattak United States
Dale M. Marecak Canada
Brendan M. Leung Canada
Philip Grossen Switzerland
Yoo-Shin Kim South Korea
Giovanna Lollo France
Jiaojun Wei China
Sandro Sieber Switzerland View profile →
Citations per field, relative to Mitsuaki Goto
Mitsuaki Goto · 1×
Citations per year, relative to Mitsuaki Goto
Mitsuaki Goto · 1×

Countries citing papers authored by Mitsuaki Goto

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuaki Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuaki Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuaki Goto. A scholar is included among the top collaborators of Mitsuaki 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 Mitsuaki Goto. Mitsuaki 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 21
2 10
3 14
4
Characterization of Cation-exchange Membranes Prepared by Ion-track Graft Polymerization
1
5 4
6 26
7 37
8 31
9 12
10 13
11 24
12 119
13 1
14 47
15 4
16 20
17 4
18 20
19 16
20 5

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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