Tadashige Chiba
- Immunology and Allergy top 2%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 4
- NF-κB Signaling Pathways 4
- Protease and Inhibitor Mechanisms 3
- Oncology top 10%
- Hematology top 10%
- Cell Biology top 10%
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- Cancer-related gene regulation 7
- Epigenetics and DNA Methylation 3
- Signaling Pathways in Disease 3
- Kruppel-like factors research 3
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- Venomous Animal Envenomation and Studies 3
- Co-authors
- Hiroaki KinohMasahiro KajitaYoshifumi ItohMotoharu SeikiAkiko OkadaHidetoshi MoriKazushi ImaiShuichi Kawashiri
- Journals
- Chemical and Pharmaceutical Bulletin (3 papers)Biochemical and Biophysical Research Communications (3 papers)Gene (2 papers)
- Partner nations
- JapanRussiaUnited States
In The Last Decade
Tadashige Chiba
22 papers receiving 977 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology and Allergy 224
- Cancer Research 529
- Oncology 371
- Hematology 134
- Cell Biology 159
Countries citing papers authored by Tadashige Chiba
This map shows the geographic impact of Tadashige Chiba'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 Tadashige Chiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashige Chiba more than expected).
Fields of papers citing papers by Tadashige Chiba
This network shows the impact of papers produced by Tadashige Chiba. 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 Tadashige Chiba. The network helps show where Tadashige Chiba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadashige Chiba, 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 | 2021 | 3 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 1 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 7 | |
| 6 | Krüppel-like factors 4 and 5 expression and their involvement in differentiation of oral carcinomas. | 2015 | 10 |
| 7 | 2015 | 10 | |
| 8 | 2013 | 7 | |
| 9 | 2013 | 6 | |
| 10 | 2009 | 16 | |
| 11 | 2009 | 7 | |
| 12 | 2009 | 7 | |
| 13 | 2007 | 20 | |
| 14 | 2007 | 48 | |
| 15 | 2005 | 40 | |
| 16 | Membrane-type 5 matrix metalloproteinase is expressed in differentiated neurons and regulates axonal growth. | 2001 | 92 |
| 17 | 1997 | 12 | |
| 18 | 1997 | 3 | |
| 19 | 1996 | 14 | |
| 20 | 1995 | 7 |
About Tadashige Chiba
Tadashige Chiba is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 22 papers that have together received 992 indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Cancer-related molecular mechanisms research (4 papers), NF-κB Signaling Pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Signaling Pathways in Disease (3 papers), Venomous Animal Envenomation and Studies (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Immunology and Allergy (224 citations), Cancer Research (529 citations) and Oncology (371 citations). Tadashige Chiba has collaborated with scholars based in Japan, Russia and United States. Frequent co-authors include Hiroaki Kinoh, Masahiro Kajita, Yoshifumi Itoh, Motoharu Seiki, Akiko Okada, Hidetoshi Mori, Kazushi Imai, Shuichi Kawashiri, Tazuko Satoh and Takaaki Aoba. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Biochemical and Biophysical Research Communications, Gene, The Journal of Cell Biology and Mini-Reviews in Medicinal Chemistry.
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.