Susumu Taniguchi
- Molecular Biology
- Biochemistry top 1%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Kunihisa KobayashiHajime NawataLawrence ChanBrian Y. IshidaToyoshi InoguchiShoichiro IkuyamaLan LiWilliam C. Heird
- Topics
- Adipose Tissue and Metabolism (5 papers)Lipid metabolism and biosynthesis (4 papers)Hormonal and reproductive studies (4 papers)
- Journals
- Molecular and Cellular BiologyBiochemical and Biophysical Research CommunicationsArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Susumu Taniguchi
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 465
- Biochemistry 374
- Physiology 315
- Endocrinology, Diabetes and Metabolism 211
- Surgery 178
Countries citing papers authored by Susumu Taniguchi
This map shows the geographic impact of Susumu Taniguchi'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 Susumu Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Taniguchi more than expected).
Fields of papers citing papers by Susumu Taniguchi
This network shows the impact of papers produced by Susumu Taniguchi. 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 Susumu Taniguchi. The network helps show where Susumu Taniguchi may publish in the future.
Co-authorship network of co-authors of Susumu Taniguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Taniguchi. A scholar is included among the top collaborators of Susumu Taniguchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susumu Taniguchi. Susumu Taniguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | [Temporary inferior vena cava filter applied to 4 patients with urological disease]. | 1 |
| 5 | 261 | |
| 6 | 27 | |
| 7 | 239 | |
| 8 | 209 | |
| 9 | 17 | |
| 10 | 47 | |
| 11 | 21 | |
| 12 | 91 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 0 | |
| 16 | 34 |
About Susumu Taniguchi
Susumu Taniguchi is a scholar working on Behavioral Neuroscience, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (4 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Biochemistry (374 citations), Behavioral Neuroscience (50 citations) and Endocrinology, Diabetes and Metabolism (211 citations). Susumu Taniguchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kunihisa Kobayashi, Hajime Nawata, Lawrence Chan, Brian Y. Ishida, Toyoshi Inoguchi, Lawrence Chan, Shoichiro Ikuyama, Lan Li, William C. Heird and Benny Hung‐Junn Chang. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.
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.