Masahiro Goto

24.7k citations
777 papers · 19.9k indexed · 1 hit paper · h-index 63

Masahiro Goto

743 papers receiving 19.4k citations

Hit Papers

Ulva Seaweed-Derived Ulvan: A Promising Marine Polysaccha...24202520265101520

Peers

Masahiro Goto
Comparison fields: 5 of 183
  • Catalysis 4.8k
  • Filtration and Separation 816
  • Pharmaceutical Science 1.5k
  • Electrochemistry 1.1k
  • Analytical Chemistry 1.6k
Replace T. Alan Hatton with:
T. Alan Hatton United States
Tejraj M. Aminabhavi India
Huizhou Liu China
Jianji Wang China
Douglas R. MacFarlane Australia
Tianwei Tan China
Abdullah M. Asiri Saudi Arabia
Gary A. Baker United States
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Masahiro Goto relative to T. Alan Hatton United States T. Alan Hatton's profile →
Citations per field
00.5×3.6×
T. Alan Hatton · 1×
Citations per year

Countries citing papers authored by Masahiro Goto

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masahiro Goto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masahiro Goto Line = papers co-authored together Masahiro Goto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Ulva Seaweed-Derived Ulvan: A Promising Marine Polysaccharide as a Sustainable Resource for Biomaterial Designbreakdown →
202524
2 20242
3 20249
4 202310
5 20238
6 202331
7 202344
8 20232
9 20222
10 20201
11 202016
12 202010
13 201913
14 2019117
15 20199
16 20152
17 20092
18 20069
19 20045
20 20002

About Masahiro Goto

Masahiro Goto is a scholar working on Catalysis, Pharmaceutical Science and Filtration and Separation, having authored 777 papers that have together received 19.9k indexed citations. Recurring topics across this work include Extraction and Separation Processes (152 papers), Ionic liquids properties and applications (116 papers), Enzyme Catalysis and Immobilization (75 papers), Analytical Chemistry and Chromatography (59 papers), Advancements in Transdermal Drug Delivery (56 papers), Analytical chemistry methods development (53 papers), Surfactants and Colloidal Systems (49 papers) and Radioactive element chemistry and processing (46 papers). The work is most often cited by research in Catalysis (4.8k citations), Filtration and Separation (816 citations) and Pharmaceutical Science (1.5k citations). Masahiro Goto has collaborated with scholars based in Japan, Malaysia and South Korea. Frequent co-authors include Noriho Kamiya, Muhammad Moniruzzaman, Fukiko Kubota, Tatsuo Maruyama, Fumiyuki Nakashio, Kazunori Nakashima, Rie Wakabayashi, Shintaro Furusaki, Yoshiro Tahara and Kojiro Shimojo. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Investigation.

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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