T Fujitsu
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Signaling Pathways in Disease 7
- RNA Interference and Gene Delivery 4
-
- Macrophage Migration Inhibitory Factor 2
- Immune Response and Inflammation 2
- Co-authors
- Shozo Sakuma (6 shared papers)H Senoh (3 shared papers)H Fujiwara (2 shared papers)Shinji Sakuma (3 shared papers)T Hamaoka (1 shared paper)Nobuo Seki (1 shared paper)Tatsunobu Yoshioka (1 shared paper)Shigetaka Sugihara (1 shared paper)
- Journals
- Transplant International (2 papers)Drug Metabolism and Disposition (2 papers)Transplantation (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cytokine (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
T Fujitsu
18 papers receiving 597 citations
Peers
Comparison fields: 5 of 72
- Transplantation 184
- Immunology and Allergy 99
- Immunology 150
- Microbiology 4
- Radiology, Nuclear Medicine and Imaging 109
Countries citing papers authored by T Fujitsu
This map shows the geographic impact of T Fujitsu'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 Fujitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Fujitsu more than expected).
Fields of papers citing papers by T Fujitsu
This network shows the impact of papers produced by T Fujitsu. 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 Fujitsu. The network helps show where T Fujitsu may publish in the future.
Co-authors
The 25 scholars most cited alongside T Fujitsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 231 | |
| 2 | 1995 | 89 | |
| 3 | 1993 | 88 | |
| 4 | 1994 | 50 | |
| 5 | 1993 | 39 | |
| 6 | 2004 | 27 | |
| 7 | 1999 | 21 | |
| 8 | 1999 | 20 | |
| 9 | Immunosuppressive effects of FK 506 on rat renal allograft survival, in comparison with cyclosporine. | 1995 | 14 |
| 10 | 1994 | 9 | |
| 11 | 1999 | 9 | |
| 12 | 1987 | 7 | |
| 13 | 1984 | 7 | |
| 14 | 1986 | 6 | |
| 15 | 1985 | 3 | |
| 16 | 1988 | 3 | |
| 17 | 1994 | 2 | |
| 18 | 1988 | 2 |
About T Fujitsu
T Fujitsu is a scholar working on Molecular Biology, Immunology, Transplantation, Surgery and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (7 papers), Renal Transplantation Outcomes and Treatments (4 papers), RNA Interference and Gene Delivery (4 papers), Cell Adhesion Molecules Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infections and Immunology Research (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Transplantation (184 citations), Immunology and Allergy (99 citations), Immunology (150 citations), Microbiology (4 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). T Fujitsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Shozo Sakuma, H Senoh, H Fujiwara, Shinji Sakuma, T Hamaoka, Nobuo Seki, Tatsunobu Yoshioka, Shigetaka Sugihara, Yuji Sudo and Kazuko Nagase. Their work appears in journals such as Transplant International, Drug Metabolism and Disposition, Transplantation, Biochemical and Biophysical Research Communications and Cytokine.
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.