Yusuke Kitazawa
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 24
- T-cell and B-cell Immunology 19
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 16
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- RNA Interference and Gene Delivery 5
- Co-authors
- Masayuki Fujino (19 shared papers)Xiao‐Kang Li (20 shared papers)Hiromitsu Kimura (14 shared papers)Naoko Funeshima (15 shared papers)Seiichi Suzuki (6 shared papers)Hiroshi Amemiya (2 shared papers)Xiaokang Li (5 shared papers)Kenjiro Matsuno (16 shared papers)
In The Last Decade
Yusuke Kitazawa
42 papers receiving 970 citations
Peers
Comparison fields: 5 of 88
- Transplantation 68
- Immunology 423
- Hepatology 66
- Genetics 87
- Biological Psychiatry 19
Countries citing papers authored by Yusuke Kitazawa
This map shows the geographic impact of Yusuke Kitazawa'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 Yusuke Kitazawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Kitazawa more than expected).
Fields of papers citing papers by Yusuke Kitazawa
This network shows the impact of papers produced by Yusuke Kitazawa. 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 Yusuke Kitazawa. The network helps show where Yusuke Kitazawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Kitazawa, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 243 | |
| 2 | 2007 | 113 | |
| 3 | 2005 | 40 | |
| 4 | 2004 | 38 | |
| 5 | 2005 | 36 | |
| 6 | 2002 | 33 | |
| 7 | 2009 | 33 | |
| 8 | 2003 | 30 | |
| 9 | 2019 | 29 | |
| 10 | 2004 | 26 | |
| 11 | 2008 | 25 | |
| 12 | 2012 | 24 | |
| 13 | 2014 | 24 | |
| 14 | 2010 | 24 | |
| 15 | 2012 | 21 | |
| 16 | Gene expression profile analysis of the peripheral blood mononuclear cells from tolerant living-donor liver transplant recipients. | 2008 | 20 |
| 17 | 2004 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2010 | 17 | |
| 20 | 2005 | 16 |
About Yusuke Kitazawa
Yusuke Kitazawa is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Oncology, having authored 43 papers that have together received 987 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immunotherapy and Immune Responses (19 papers), Immune Cell Function and Interaction (16 papers), RNA Interference and Gene Delivery (5 papers), Pancreatic function and diabetes (4 papers), Virus-based gene therapy research (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Transplantation (68 citations), Immunology (423 citations), Hepatology (66 citations), Genetics (87 citations) and Biological Psychiatry (19 citations). Yusuke Kitazawa has collaborated with scholars based in Japan, China and Germany. Frequent co-authors include Masayuki Fujino, Xiao‐Kang Li, Hiromitsu Kimura, Naoko Funeshima, Seiichi Suzuki, Hiroshi Amemiya, Xiaokang Li, Kenjiro Matsuno, Ryo Abe and Hisashi Ueta. Their work appears in journals such as Cell Transplantation, Histochemistry and Cell Biology, International Immunology, Journal of Pharmacology and Experimental Therapeutics and Transplant International.
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.