Tomowo Kobayashi
- Molecular Biology
- Oncology top 10%
- Organic Chemistry top 10%
- Plant Science
- Pharmacology top 10%
- Co-authors
- Makoto InabaYoshio SakuraiShigeo IwasakiShigeru TsukagoshiZenji SatoYukiko KoisoRyoichi SonodaYoshikatsu Fujita
- Topics
- Biochemical and Molecular Research (4 papers)Cancer therapeutics and mechanisms (4 papers)Glycosylation and Glycoproteins Research (3 papers)
- Cited by
- BiotechnologyOncologyBiomaterials
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tomowo Kobayashi
27 papers receiving 964 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 487
- Oncology 234
- Organic Chemistry 186
- Plant Science 151
- Pharmacology 121
Countries citing papers authored by Tomowo Kobayashi
This map shows the geographic impact of Tomowo Kobayashi'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 Tomowo Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomowo Kobayashi more than expected).
Fields of papers citing papers by Tomowo Kobayashi
This network shows the impact of papers produced by Tomowo Kobayashi. 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 Tomowo Kobayashi. The network helps show where Tomowo Kobayashi may publish in the future.
Co-authorship network of co-authors of Tomowo Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomowo Kobayashi. A scholar is included among the top collaborators of Tomowo Kobayashi 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 Tomowo Kobayashi. Tomowo Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The combination of 5-FU, leucovorin and CPT-11 (FOLFIRI) prolongs survival through inhibition of metastasis in an orthotopic model of colon cancer. | 13 |
| 2 | 15 | |
| 3 | 46 | |
| 4 | 22 | |
| 5 | 14 | |
| 6 | 17 | |
| 7 | 39 | |
| 8 | 18 | |
| 9 | 214 | |
| 10 | 64 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 41 | |
| 15 | 51 | |
| 16 | 28 | |
| 17 | 77 | |
| 18 | 37 | |
| 19 | 30 | |
| 20 | Enhancement of the cancer chemotherapeutic effect of cytosine arabinoside entrapped in liposomes on mouse leukemia L-1210. | 33 |
About Tomowo Kobayashi
Tomowo Kobayashi is a scholar working on Biotechnology, Oncology and Molecular Biology, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Cancer therapeutics and mechanisms (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biotechnology (86 citations), Oncology (234 citations) and Biomaterials (103 citations). Tomowo Kobayashi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Makoto Inaba, Yoshio Sakurai, Shigeo Iwasaki, Shigeru Tsukagoshi, Zenji Sato, Yukiko Koiso, Ryoichi Sonoda, Yoshikatsu Fujita, Yin Li and Hiroshi Yaegashi. Their work appears in journals such as Cancer, Annals of Neurology and Annals of the New York Academy of Sciences.
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.