Toshiro Maeda
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
- Urology top 5%
- Urinary Bladder and Prostate Research
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- T-cell and Retrovirus Studies 2
- Co-authors
- Keiji Satoh (1 shared paper)Masaya Tohyama (1 shared paper)Takayuki Sumida (9 shared papers)Sho Yoshida (5 shared papers)Takao Koike (5 shared papers)Hisao Tomioka (5 shared papers)Itsuo Iwamoto (2 shared papers)Tomoko Hasunuma (4 shared papers)
- Journals
- International Immunology (2 papers)American Journal of Nephrology (2 papers)Cellular Immunology (1 paper)EXPERIMENTAL ANIMALS (1 paper)Diabetes (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Toshiro Maeda
22 papers receiving 628 citations
Peers
Comparison fields: 5 of 76
- Endocrine and Autonomic Systems 74
- Urology 66
- Immunology 190
- Behavioral Neuroscience 31
- Physiology 144
Countries citing papers authored by Toshiro Maeda
This map shows the geographic impact of Toshiro 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 Toshiro Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiro Maeda more than expected).
Fields of papers citing papers by Toshiro Maeda
This network shows the impact of papers produced by Toshiro 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 Toshiro Maeda. The network helps show where Toshiro Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Toshiro 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 177 | |
| 2 | 1997 | 96 | |
| 3 | 1994 | 74 | |
| 4 | 2000 | 57 | |
| 5 | 1994 | 55 | |
| 6 | 1991 | 38 | |
| 7 | 1992 | 33 | |
| 8 | 1992 | 22 | |
| 9 | 1996 | 19 | |
| 10 | 1997 | 17 | |
| 11 | 1978 | 13 | |
| 12 | 1995 | 9 | |
| 13 | 1997 | 8 | |
| 14 | 1995 | 6 | |
| 15 | 2008 | 4 | |
| 16 | 1989 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 1998 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 1995 | 1 |
About Toshiro Maeda
Toshiro Maeda is a scholar working on Immunology, Epidemiology, Genetics, Nephrology and Physiology, having authored 22 papers that have together received 643 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and Retrovirus Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Salivary Gland Disorders and Functions (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Urology (66 citations), Immunology (190 citations), Behavioral Neuroscience (31 citations) and Physiology (144 citations). Toshiro Maeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Keiji Satoh, Masaya Tohyama, Takayuki Sumida, Sho Yoshida, Takao Koike, Hisao Tomioka, Itsuo Iwamoto, Tomoko Hasunuma, Takashi Namekawa and Hitoshi Yasuda. Their work appears in journals such as International Immunology, American Journal of Nephrology, Cellular Immunology, EXPERIMENTAL ANIMALS and Diabetes.
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.