Jin Suzuki

68 papers receiving 948 citations

Peers

Jin Suzuki
Comparison fields: 5 of 95
  • Toxicology 318
  • Pharmacology 281
  • Parasitology 99
  • Microbiology 80
  • Infectious Diseases 182
Replace Annick Gauthier with:
Annick Gauthier Canada
Raquel Brandt Giordani Brazil
Arthur L. Craigmill United States
Andy Crump Japan
Paula Proença Portugal
Danilo Donnarumma Italy
Véronique Blanc France
Otávio Henrique Thiemann Brazil
R Mentel Germany
Luana Rossato Brazil
Jin Suzuki relative to Annick Gauthier Canada Annick Gauthier's profile →
Citations per field
00.5×11.0×
Annick Gauthier · 1×
Citations per year

Countries citing papers authored by Jin Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Jin Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 201187
3 201176
4 201051
5 201251
6 199044
7 201136
8 200830
9 199927
10 201524
11 200024
12 200122
13 201621
14
Effect of oleanolic acid-cyclodextrin inclusion compounds on dental caries by in vitro experiment and rat-caries model.
199921
15 201616
16 201616
17 200816
18 200415
19 201115
20 201615

About Jin Suzuki

Jin Suzuki is a scholar working on Molecular Biology, Pharmacology, Toxicology, Infectious Diseases and Clinical Psychology, having authored 72 papers that have together received 983 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (13 papers), Cannabis and Cannabinoid Research (9 papers), Psychedelics and Drug Studies (9 papers), Microbial infections and disease research (9 papers), Vector-borne infectious diseases (7 papers), Viral Infections and Vectors (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Heavy Metal Exposure and Toxicity (5 papers). The work is most often cited by research in Toxicology (318 citations), Pharmacology (281 citations), Parasitology (99 citations), Microbiology (80 citations) and Infectious Diseases (182 citations). Jin Suzuki has collaborated with scholars based in Japan, Sri Lanka and Bangladesh. Frequent co-authors include Misako Takahashi, Takako Seto, Masao Yoshida, Ryô Harasawa, Chikahisa Takasaki, Nobuo Tamiya, Masatoshi FUJIHARA, Takashi Shimizu, Kenta Watanabe and Masahisa Watarai. Their work appears in journals such as Forensic Toxicology, Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi), Birth Defects Research, Journal of the Chemical Society Perkin Transactions 1 and Scientific Reports.

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.

Explore authors with similar magnitude of impact