Hiroko Satoh

62 papers receiving 1.1k citations

Peers

Hiroko Satoh
Comparison fields: 5 of 115
  • Organic Chemistry 436
  • Computational Theory and Mathematics 180
  • Catalysis 71
  • Spectroscopy 143
  • Biotechnology 66
Replace Guillaume Godin with:
Guillaume Godin Switzerland
Anna Iuliano Italy
Jason M. Stevens United States
Generosa Gómez Spain
Matthew N. Grayson United Kingdom
Justin A. M. Lummiss Canada
Yue Yang China
François Lévesque United States
A. Srinivas Reddy India
Micholas Dean Smith United States
Hiroko Satoh relative to Guillaume Godin Switzerland Guillaume Godin's profile →
Citations per field
00.5×2.8×
Guillaume Godin · 1×
Citations per year

Countries citing papers authored by Hiroko Satoh

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Satoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroko Satoh, 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 Hiroko Satoh Line = papers co-authored together Hiroko Satoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010144
2 201887
3 201374
4 199568
5 201156
6 199841
7 199838
8 199835
9 200733
10 202028
11 201624
12 199823
13 201423
14 200922
15 199920
16 200620
17 201319
18 199619
19 201116
20 200716

About Hiroko Satoh

Hiroko Satoh is a scholar working on Organic Chemistry, Molecular Biology, Spectroscopy, Materials Chemistry and Computational Theory and Mathematics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Advanced Chemical Physics Studies (7 papers), Machine Learning in Materials Science (7 papers), Fullerene Chemistry and Applications (6 papers), Molecular spectroscopy and chirality (6 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Organic Chemistry (436 citations), Computational Theory and Mathematics (180 citations), Catalysis (71 citations), Spectroscopy (143 citations) and Biotechnology (66 citations). Hiroko Satoh has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Shino Manabe, Kimito Funatsu, Hiroyuki Koshino, Koichi Ohno, Wilfred F. van Gunsteren, Philippe H. Hünenberger, Halvor S. Hansen, Tadashi Nakata, Satoru Iwata and Yukishige Ito. Their work appears in journals such as Chemical Physics Letters, Tetrahedron, Bulletin of the Chemical Society of Japan, Journal of Computational Chemistry and Journal of Chemical Information and Modeling.

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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