T Maeda
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
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- Bone Metabolism and Diseases 7
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- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Noboru Horiuchi (8 shared papers)Yukio Kato (18 shared papers)Atsuko Suzuki (11 shared papers)Tetsuya Kawane (5 shared papers)Yuh Baba (7 shared papers)Ayako Matsunuma (5 shared papers)Yojiro Maehata (2 shared papers)Chihiro Miyamoto (2 shared papers)
- Journals
- Cancer Cell International (2 papers)Endocrinology (2 papers)International Journal of Molecular Sciences (2 papers)Microbial Pathogenesis (1 paper)International Dairy Journal (1 paper)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
T Maeda
43 papers receiving 2.9k citations
T Maeda's Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 396
- Biomaterials 378
- Nephrology 173
- Periodontics 107
- Orthopedics and Sports Medicine 181
Countries citing papers authored by T Maeda
This map shows the geographic impact of T Maeda'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 T Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Maeda more than expected).
Fields of papers citing papers by T Maeda
This network shows the impact of papers produced by T Maeda. 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 T Maeda. The network helps show where T Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside T Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Acidic extracellular microenvironment and cancer Hit paper breakdown → | 2013 | 1118 |
| 2 | 2001 | 327 | |
| 3 | 2004 | 218 | |
| 4 | 2003 | 204 | |
| 5 | 2010 | 170 | |
| 6 | 1995 | 108 | |
| 7 | 2006 | 91 | |
| 8 | 2017 | 90 | |
| 9 | 2000 | 84 | |
| 10 | 2014 | 64 | |
| 11 | 2003 | 61 | |
| 12 | 1974 | 55 | |
| 13 | 2019 | 48 | |
| 14 | 2009 | 37 | |
| 15 | 2017 | 37 | |
| 16 | 2019 | 35 | |
| 17 | 1974 | 35 | |
| 18 | 2015 | 30 | |
| 19 | 2019 | 24 | |
| 20 | 2015 | 18 |
About T Maeda
T Maeda is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Surgery, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (7 papers), Bone health and treatments (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Adipose Tissue and Metabolism (3 papers), Diet, Metabolism, and Disease (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cancer Research (396 citations), Biomaterials (378 citations), Nephrology (173 citations), Periodontics (107 citations) and Orthopedics and Sports Medicine (181 citations). T Maeda has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Noboru Horiuchi, Yukio Kato, Atsuko Suzuki, Tetsuya Kawane, Yuh Baba, Ayako Matsunuma, Yojiro Maehata, Chihiro Miyamoto, Shigeyuki Ozawa and E Hayashi. Their work appears in journals such as Cancer Cell International, Endocrinology, International Journal of Molecular Sciences, Microbial Pathogenesis and International Dairy Journal.
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.