Takuya Maeda
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
- Aging top 10%
Papers in
- Epidemiology 28
- Trypanosoma species research and implications 6
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- Metal Alloys Wear and Properties 7
- Co-authors
- Kazuo Imai (35 shared papers)Shigefumi Maesaki (24 shared papers)Norihito Tarumoto (25 shared papers)Takashi Murakami (15 shared papers)Jun Sakai (16 shared papers)Kenji Kaneko (13 shared papers)Akihiko Kawana (18 shared papers)Jian‐Lian Guan (3 shared papers)
- Journals
- ISIJ International (5 papers)Journal of Medical Microbiology (4 papers)Japanese Journal of Applied Physics (4 papers)The Journals of Gerontology Series A (3 papers)Journal of Medical Virology (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takuya Maeda
158 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 143
- Parasitology 152
- Aging 33
- Molecular Medicine 72
- Infectious Diseases 233
- Clinical Biochemistry 78
Countries citing papers authored by Takuya Maeda
This map shows the geographic impact of Takuya 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 Takuya Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Maeda more than expected).
Fields of papers citing papers by Takuya Maeda
This network shows the impact of papers produced by Takuya 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 Takuya Maeda. The network helps show where Takuya Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 72 | |
| 2 | 2008 | 69 | |
| 3 | 2000 | 66 | |
| 4 | 2019 | 60 | |
| 5 | 2018 | 52 | |
| 6 | 2014 | 48 | |
| 7 | 2007 | 43 | |
| 8 | 2017 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2008 | 40 | |
| 11 | Physiologically defined VIM nucleus. Its special reference to control of tremor. | 1978 | 38 |
| 12 | 2018 | 35 | |
| 13 | 1998 | 35 | |
| 14 | 2013 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2009 | 32 | |
| 17 | 1997 | 31 | |
| 18 | 2012 | 30 | |
| 19 | 2004 | 29 | |
| 20 | 2018 | 29 |
About Takuya Maeda
Takuya Maeda is a scholar working on Epidemiology, Materials Chemistry, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 178 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (14 papers), Metal Alloys Wear and Properties (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Trypanosoma species research and implications (6 papers), Hydrogen embrittlement and corrosion behaviors in metals (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Toxoplasma gondii Research Studies (6 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Parasitology (152 citations), Aging (33 citations), Molecular Medicine (72 citations), Infectious Diseases (233 citations) and Clinical Biochemistry (78 citations). Takuya Maeda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kazuo Imai, Shigefumi Maesaki, Norihito Tarumoto, Takashi Murakami, Jun Sakai, Kenji Kaneko, Akihiko Kawana, Jian‐Lian Guan, Takashi Asai and Kei Mikita. Their work appears in journals such as ISIJ International, Journal of Medical Microbiology, Japanese Journal of Applied Physics, The Journals of Gerontology Series A and Journal of Medical Virology.
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.