T Sugiyama
- Molecular Biology top 10%
- Cancer Research top 5%
- Immunology top 10%
- Oncology
- Genetics
- Co-authors
- Keiko GotoSakan MaedaYoshio KanoTomotoshi AkematsuHisaaki ShimazuCharles HugginsM. KoshibaOsamu Ogawa
- Topics
- T-cell and Retrovirus Studies (4 papers)Molecular Biology Techniques and Applications (4 papers)DNA and Nucleic Acid Chemistry (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
T Sugiyama
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 801
- Cancer Research 622
- Immunology 236
- Oncology 232
- Genetics 152
Countries citing papers authored by T Sugiyama
This map shows the geographic impact of T Sugiyama'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 Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Sugiyama more than expected).
Fields of papers citing papers by T Sugiyama
This network shows the impact of papers produced by T Sugiyama. 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 Sugiyama. The network helps show where T Sugiyama may publish in the future.
Co-authorship network of co-authors of T Sugiyama
This figure shows the co-authorship network connecting the top 25 collaborators of T Sugiyama. A scholar is included among the top collaborators of T Sugiyama 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 Sugiyama. T Sugiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | [The 5q- syndrome associated with marked erythroid hypoplasia and Coombs test positive hemolysis]. | 4 |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 12 | |
| 8 | 30 | |
| 9 | 96 | |
| 10 | 4 | |
| 11 | Autopsy rates in medical schools and hospitals in Japan. | 3 |
| 12 | Pathogenic role of polyclonal and polymeric IgA in a murine model of mesangial proliferative glomerulonephritis with IgA deposition. | 26 |
| 13 | 76 | |
| 14 | 15 | |
| 15 | 25 | |
| 16 | Ribosomal RNA gene (rDNA) distribution in human leukemia cells by in situ hybridization on chromosome. | 0 |
| 17 | C-myc expression in lymphocytes of MRL/MP-lpr mice activated by A23187 and TPA. | 3 |
| 18 | 24 | |
| 19 | 4 | |
| 20 | 81 |
About T Sugiyama
T Sugiyama is a scholar working on Agronomy and Crop Science, Clinical Biochemistry and Immunology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Molecular Biology Techniques and Applications (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Cancer Research (622 citations), Chemical Health and Safety (8 citations) and Molecular Biology (801 citations). T Sugiyama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Keiko Goto, Sakan Maeda, Yoshio Kano, Tomotoshi Akematsu, Hisaaki Shimazu, Charles Huggins, M. Koshiba, Osamu Ogawa, Masakazu Hatanaka and Shuji Hamazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Journal of Immunology.
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.