S. Higuchi

697 citations
34 papers · 605 · h-index 12

Impact in

    • Analytical Methods in Pharmaceuticals
    • Antibiotics Pharmacokinetics and Efficacy
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 9
    • Pharmacogenetics and Drug Metabolism 4
    • Drug-Induced Hepatotoxicity and Protection 3

S. Higuchi

30 papers receiving 496 citations

Peers

S. Higuchi
Comparison fields: 5 of 87
  • Analytical Chemistry 131
  • Pharmacology 115
  • Pharmacology 127
  • Spectroscopy 94
  • Pharmaceutical Science 31
Replace Hideyo Noguchi with:
Hideyo Noguchi Japan
Phillip A. Reece Australia
Gerald J. Yakatan United States
J.J. Vallner United States
Ryosei Kawai Japan
W. Roth Germany
Véronique Maes Belgium
Linyee Shum United States
Chyung S. Cook United States
Elke Schmidt Germany
S. Higuchi relative to Hideyo Noguchi Japan Hideyo Noguchi's profile →
Citations per field
00.5×
Hideyo Noguchi · 1×
Citations per year

Countries citing papers authored by S. Higuchi

Since Specialization
Citations

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

Fields of papers citing papers by S. Higuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980101
2 198379
3 197859
4 197757
5 198044
6 198139
7 198032
8 200527
9 198017
10 199515
11 197115
12 199511
13 199711
14 197211
15 199510
16 199810
17 199710
18 19948
19 19978
20 19756

About S. Higuchi

S. Higuchi is a scholar working on Pharmacology, Organic Chemistry, Oncology, Molecular Biology and Analytical Chemistry, having authored 34 papers that have together received 605 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Analytical Methods in Pharmaceuticals (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Pharmacological Effects and Toxicity Studies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Epilepsy research and treatment (4 papers), Synthesis and Biological Activity (3 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Analytical Chemistry (131 citations), Pharmacology (115 citations), Pharmacology (127 citations), Spectroscopy (94 citations) and Pharmaceutical Science (31 citations). S. Higuchi has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Y. Shiobara, Hirokazu Sasaki, Toshio Teramura, Takashi Nakano, Takashi Seki, M Ikehara, Yoshifumi Nishimura, Masamichi Tsuboi, Tomohiro Sato and Seiichi Uesugi. Their work appears in journals such as Xenobiotica, European Journal of Clinical Pharmacology, Journal of Mass Spectrometry, Chemical and Pharmaceutical Bulletin and IEEE Transactions on Magnetics.

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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