Jin Suzuki

69 papers and 916 indexed citations i.

About

Jin Suzuki is a scholar working on Molecular Biology, Toxicology and Pharmacology. According to data from OpenAlex, Jin Suzuki has authored 69 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Toxicology and 13 papers in Pharmacology. Recurrent topics in Jin Suzuki’s work include Forensic Toxicology and Drug Analysis (14 papers), Cannabis and Cannabinoid Research (9 papers) and Psychedelics and Drug Studies (9 papers). Jin Suzuki is often cited by papers focused on Forensic Toxicology and Drug Analysis (14 papers), Cannabis and Cannabinoid Research (9 papers) and Psychedelics and Drug Studies (9 papers). Jin Suzuki collaborates with scholars based in Japan, Bangladesh and Sri Lanka. Jin Suzuki's co-authors include Misako Takahashi, Takako Seto, Masao Yoshida, Ryô Harasawa, Chikahisa Takasaki, Nobuo Tamiya, Masatoshi FUJIHARA, Kenta Watanabe, Takashi Shimizu and Ryouichi Nonaka and has published in prestigious journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Co-authorship network of co-authors of Jin Suzuki i

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.

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).

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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