Takemi Tanaka
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Retinoids in leukemia and cellular processes
Papers in
-
- Cell Adhesion Molecules Research 11
- Oncology 21
- Chemokine receptors and signaling 7
- Cancer Cells and Metastasis 6
- Co-authors
- Paolo DecuzziCiro ChiappiniBiana GodinM. FerrariSei‐Young LeeXia LiuLuigi M. De LucaMauro Ferrari
- Journals
- Cancer Research (4 papers)Journal of Ovarian Research (3 papers)Journal of Nutrition (2 papers)Breast Cancer Research (2 papers)Cancers (2 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Takemi Tanaka
60 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Biomaterials 692
- Molecular Biology 1.2k
- Pharmaceutical Science 105
- Biomedical Engineering 751
- Cancer Research 183
Countries citing papers authored by Takemi Tanaka
This map shows the geographic impact of Takemi Tanaka'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 Takemi Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takemi Tanaka more than expected).
Fields of papers citing papers by Takemi Tanaka
This network shows the impact of papers produced by Takemi Tanaka. 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 Takemi Tanaka. The network helps show where Takemi Tanaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Takemi Tanaka, 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 | 2024 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 8 | |
| 4 | Spatial Metrics of Interaction between CD163-Positive Macrophages and Cancer Cells and Progression-Free Survival in Chemo-Treated Breast Cancer | 2022 | 15 |
| 5 | 2022 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 12 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 9 | |
| 10 | 2016 | 42 | |
| 11 | 2016 | 30 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 14 | |
| 14 | 2014 | 33 | |
| 15 | 2013 | 25 | |
| 16 | 2008 | 5 | |
| 17 | 2006 | 6 | |
| 18 | 2001 | 10 | |
| 19 | 1999 | 62 | |
| 20 | Amylolytic Yeasts of Indonesian Koji-cake;Ragi | 1990 | 1 |
About Takemi Tanaka
Takemi Tanaka is a scholar working on Immunology and Allergy, Oncology, Cancer Research, Biomaterials and Molecular Biology, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Nanoparticle-Based Drug Delivery (8 papers), Chemokine receptors and signaling (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (6 papers), Cancer Cells and Metastasis (6 papers), Retinoids in leukemia and cellular processes (6 papers) and Digestive system and related health (6 papers). The work is most often cited by research in Biomaterials (692 citations), Molecular Biology (1.2k citations), Pharmaceutical Science (105 citations), Biomedical Engineering (751 citations) and Cancer Research (183 citations). Takemi Tanaka has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Paolo Decuzzi, Ciro Chiappini, Biana Godin, M. Ferrari, Sei‐Young Lee, Xia Liu, Luigi M. De Luca, Mauro Ferrari, David G. Gorenstein and Aman P. Mann. Their work appears in journals such as Cancer Research, Journal of Ovarian Research, Journal of Nutrition, Breast Cancer Research and Cancers.
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.