Shiro Maeda

16.8k citations
261 papers · 6.6k · h-index 44

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 11
    • Molecular spectroscopy and chirality 26
    • Spectroscopy and Laser Applications 13

Shiro Maeda

254 papers receiving 6.4k citations

Peers

Shiro Maeda
Comparison fields: 5 of 162
  • Nephrology 650
  • Clinical Biochemistry 339
  • Endocrinology, Diabetes and Metabolism 748
  • Genetics 1.2k
  • Spectroscopy 651
Replace E.F. Pai with:
E.F. Pai Canada
David F. Wilson United States
Donald Small United States
James A. Hamilton United States
James Evans United States
Takehiko Wada Japan
Daniel Raftery United States
Wolfgang Junge Germany
Alan N. Schechter United States
A. K. Solomon United States
Shiro Maeda relative to E.F. Pai Canada E.F. Pai's profile →
Citations per field
00.5×6.3×
E.F. Pai · 1×
Citations per year

Countries citing papers authored by Shiro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000345
2 2007229
3 2012177
4 2000163
5 2000148
6 2012137
7 2004133
8 2005128
9 2007125
10 2011114
11 2005106
12 1983101
13 196895
14 199191
15 196189
16 199984
17 201282
18 198882
19 200382
20 199971

About Shiro Maeda

Shiro Maeda is a scholar working on Molecular Biology, Spectroscopy, Atomic and Molecular Physics, and Optics, Genetics and Organic Chemistry, having authored 261 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Molecular spectroscopy and chirality (26 papers), Spectroscopy and Quantum Chemical Studies (25 papers), Photochemistry and Electron Transfer Studies (19 papers), Chronic Kidney Disease and Diabetes (17 papers), Spectroscopy and Laser Applications (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Metabolism, Diabetes, and Cancer (11 papers). The work is most often cited by research in Nephrology (650 citations), Clinical Biochemistry (339 citations), Endocrinology, Diabetes and Metabolism (748 citations), Genetics (1.2k citations) and Spectroscopy (651 citations). Shiro Maeda has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Ryuichi Kikkawa, Daisuke Koya, Masakazu Haneda, Yasushi Tanaka, Ryuzo Kawamori, Kohei Kaku, Minako Imamura, Atsunori Kashiwagi, Keiji Isshiki and Toshiro Sugimoto. Their work appears in journals such as Bulletin of the Chemical Society of Japan, The Journal of Chemical Physics, Chemical Physics Letters, The Journal of the Geological Society of Japan and PLoS ONE.

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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