T Yoneda
- Molecular Biology
- Immunology and Allergy top 5%
- Immunology
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Co-authors
- Katsuyuki OhmoriReiji KannagiA. TakadaAkira HasegawaMarina KisoKazuo OkanoyaK HirashimaKunio Matsumoto
- Topics
- Glycosylation and Glycoproteins Research (5 papers)Cell Adhesion Molecules Research (4 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
- Partner nations
- Japan
In The Last Decade
T Yoneda
15 papers receiving 659 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 453
- Immunology and Allergy 204
- Immunology 185
- Radiology, Nuclear Medicine and Imaging 144
- Oncology 123
Countries citing papers authored by T Yoneda
This map shows the geographic impact of T Yoneda'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 Yoneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Yoneda more than expected).
Fields of papers citing papers by T Yoneda
This network shows the impact of papers produced by T Yoneda. 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 Yoneda. The network helps show where T Yoneda may publish in the future.
Co-authorship network of co-authors of T Yoneda
This figure shows the co-authorship network connecting the top 25 collaborators of T Yoneda. A scholar is included among the top collaborators of T Yoneda 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 Yoneda. T Yoneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | [Bioelectrical impedance analysis of body composition in patients with pulmonary emphysema]. | 4 |
| 3 | 56 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | Three-dimensional model of the human PAF receptor. | 12 |
| 7 | 36 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | Characterization of a novel biphenotypic leukemia cell line, TA-1, with myeloperoxidase and inducible cytoplasmic mu chain: altered rearrangement patterns of antigen receptor genes. | 2 |
| 11 | Contribution of carbohydrate antigens sialyl Lewis A and sialyl Lewis X to adhesion of human cancer cells to vascular endothelium. | 474 |
| 12 | 20 | |
| 13 | 46 | |
| 14 | 3 | |
| 15 | [Nephrotoxicity test on T-3262 in rats with experimental nephropathy]. | 1 |
| 16 | [Ototoxicity tests for T-2588 in rats]. | 1 |
| 17 | [Fetal mechanocardiogram studied by systolic time intervals in ultrasonic doppler fetal heart valve signals using new multistylus recorder system (author's transl)]. | 1 |
About T Yoneda
T Yoneda is a scholar working on Developmental Biology, Immunology and Allergy and Clinical Biochemistry, having authored 17 papers that have together received 682 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Cell Adhesion Molecules Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology and Allergy (204 citations), Developmental Biology (39 citations) and Immunology (185 citations). T Yoneda has collaborated with scholars based in Japan. Frequent co-authors include Katsuyuki Ohmori, Reiji Kannagi, A. Takada, Akira Hasegawa, Marina Kiso, Kazuo Okanoya, K Hirashima, Kunio Matsumoto, Naoko Kawakami-Kimura and Tetsuharu Narita. Their work appears in journals such as Blood, British Journal of Cancer and ZOOLOGICAL SCIENCE.
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.