T Maeda
- Immunology top 10%
- Physiology
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- Denise SalvertMichel JouvetTakayuki SumidaHisao TomiokaTakayoshi KoikeSho YoshidaE TanabeItsuo Iwamoto
- Topics
- Salivary Gland Disorders and Functions (5 papers)Hepatitis B Virus Studies (4 papers)T-cell and B-cell Immunology (4 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
T Maeda
23 papers receiving 705 citations
Peers
Comparison fields: 5 of 89
- Immunology 248
- Physiology 153
- Cellular and Molecular Neuroscience 134
- Molecular Biology 131
- Cognitive Neuroscience 89
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-authorship network of co-authors of T Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of T Maeda. A scholar is included among the top collaborators of T Maeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Maeda. T Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 17 | |
| 3 | 35 | |
| 4 | 18 | |
| 5 | [TCR repertoire of autoreactive T cells in autoimmune disorders]. | 0 |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 16 | |
| 9 | T cell receptor V alpha repertoire of infiltrating T cells in labial salivary glands from patients with Sjögren's syndrome. | 18 |
| 10 | 27 | |
| 11 | [Three-dimensional MR angiography of the celiac artery with single breath holding]. | 1 |
| 12 | 67 | |
| 13 | 111 | |
| 14 | Organ specificity of the antigens reacting with the 48-1 and S-1 antibodies in chimpanzees infected with hepatitis C virus. | 2 |
| 15 | 23 | |
| 16 | 14 | |
| 17 | [A case of hemolytic disease of the newborn due to anti-Dib antibody]. | 6 |
| 18 | 4 | |
| 19 | 35 | |
| 20 | 215 |
About T Maeda
T Maeda is a scholar working on Pharmaceutical Science, Hepatology and Immunology, having authored 24 papers that have together received 735 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (5 papers), Hepatitis B Virus Studies (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (248 citations), Endocrine and Autonomic Systems (71 citations) and Cellular and Molecular Neuroscience (134 citations). T Maeda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Denise Salvert, Michel Jouvet, Takayuki Sumida, Hisao Tomioka, Takayoshi Koike, Sho Yoshida, E Tanabe, Itsuo Iwamoto, Akemi Sakamoto and Isao Matsumoto. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and Brain Research.
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.