Takashi Kojima
- Neurology top 0.1%
- Barrier Structure and Function Studies 112
- Neurological Disease Mechanisms and Treatments 27
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 43
- Immunology and Allergy top 1%
- Molecular Biology top 1%
- Connexins and lens biology 51
- Gut microbiota and health 22
- Wnt/β-catenin signaling in development and cancer 11
- Heat shock proteins research 11
- Immunology top 5%
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- Caveolin-1 and cellular processes 13
- Co-authors
- Norimasa SawadaHideki ChibaMasaki MurataMakoto OsanaiTetsuo HimiKenichi TakanoHiroko KosugiKiyomi Kikugawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Takashi Kojima
233 papers receiving 8.6k citations
Peers
Comparison fields: 5 of 147
- Neurology 2.7k
- Cancer Research 1.0k
- Immunology and Allergy 376
- Molecular Biology 4.1k
- Immunology 889
Countries citing papers authored by Takashi Kojima
This map shows the geographic impact of Takashi Kojima'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 Takashi Kojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kojima more than expected).
Fields of papers citing papers by Takashi Kojima
This network shows the impact of papers produced by Takashi Kojima. 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 Takashi Kojima. The network helps show where Takashi Kojima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Kojima, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 108 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2011 | 62 | |
| 13 | 2010 | 2 | |
| 14 | 2007 | 59 | |
| 15 | 2006 | 26 | |
| 16 | 2001 | 92 | |
| 17 | 2000 | 10 | |
| 18 | 1999 | 4 | |
| 19 | 1994 | 4 | |
| 20 | 1970 | 1 |
About Takashi Kojima
Takashi Kojima is a scholar working on Neurology, Cancer Research and Molecular Biology, having authored 235 papers that have together received 8.8k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (112 papers), Connexins and lens biology (51 papers), Cancer-related molecular mechanisms research (43 papers), Neurological Disease Mechanisms and Treatments (27 papers), Gut microbiota and health (22 papers), Caveolin-1 and cellular processes (13 papers), Wnt/β-catenin signaling in development and cancer (11 papers) and Heat shock proteins research (11 papers). The work is most often cited by research in Neurology (2.7k citations), Cancer Research (1.0k citations) and Immunology and Allergy (376 citations). Takashi Kojima has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Norimasa Sawada, Hideki Chiba, Masaki Murata, Makoto Osanai, Tetsuo Himi, Kenichi Takano, Hiroko Kosugi, Kiyomi Kikugawa, Mitsuru Go and Yohichi Mochizuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.