Tsutomu Kabashima
- Biochemistry top 5%
- Oncology top 5%
- Peptidase Inhibition and Analysis 17
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 13
- RNA Interference and Gene Delivery 7
- Biochemical and Molecular Research 7
- Glycosylation and Glycoproteins Research 5
- DNA and Nucleic Acid Chemistry 5
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- Neuropeptides and Animal Physiology 12
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- Enzyme Structure and Function 7
- Co-authors
- Kosaku UyedaTakumi KawaguchiTadashi YoshimotoKiyonori ItoMasaaki KaiBrian E. WadzinskiMakoto TakenoshitaTakayuki Shibata
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- JapanChinaBangladesh
In The Last Decade
Tsutomu Kabashima
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Biochemistry 174
- Oncology 533
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 279
- Cellular and Molecular Neuroscience 268
Countries citing papers authored by Tsutomu Kabashima
This map shows the geographic impact of Tsutomu Kabashima'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 Tsutomu Kabashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Kabashima more than expected).
Fields of papers citing papers by Tsutomu Kabashima
This network shows the impact of papers produced by Tsutomu Kabashima. 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 Tsutomu Kabashima. The network helps show where Tsutomu Kabashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Kabashima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2019 | 4 | |
| 4 | 2019 | 3 | |
| 5 | 2017 | 24 | |
| 6 | 2013 | 2 | |
| 7 | 2011 | 11 | |
| 8 | 2010 | 11 | |
| 9 | 2007 | 9 | |
| 10 | 2007 | 9 | |
| 11 | 2007 | 38 | |
| 12 | 2006 | 28 | |
| 13 | 2002 | 335 | |
| 14 | 2001 | 25 | |
| 15 | 2000 | 27 | |
| 16 | 2000 | 3 | |
| 17 | 1999 | 5 | |
| 18 | 1997 | 16 | |
| 19 | 1996 | 21 | |
| 20 | 1993 | 32 |
About Tsutomu Kabashima
Tsutomu Kabashima is a scholar working on Oncology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (17 papers), Advanced biosensing and bioanalysis techniques (13 papers), Neuropeptides and Animal Physiology (12 papers), RNA Interference and Gene Delivery (7 papers), Biochemical and Molecular Research (7 papers), Enzyme Structure and Function (7 papers), Glycosylation and Glycoproteins Research (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Biochemistry (174 citations), Oncology (533 citations) and Molecular Biology (1.3k citations). Tsutomu Kabashima has collaborated with scholars based in Japan, China and Bangladesh. Frequent co-authors include Kosaku Uyeda, Takumi Kawaguchi, Tadashi Yoshimoto, Kiyonori Ito, Masaaki Kai, Brian E. Wadzinski, Makoto Takenoshita, Takayuki Shibata, Hiromi Yamashita and Kiyoshi Osatomi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.