Shinsuke Iida
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Immunology top 0.5%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
Papers in
- Hematology 185
- Multiple Myeloma Research and Treatments 157
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- Protein Degradation and Inhibitors 61
- Co-authors
- Ryuzo Ueda (108 shared papers)Hirokazu Komatsu (102 shared papers)Takashi Ishida (88 shared papers)Shigeru Kusumoto (98 shared papers)Hiroshi Inagaki (57 shared papers)Masaki Ri (103 shared papers)Atsushi Inagaki (32 shared papers)Riccardo Dalla‐Favera (8 shared papers)
- Journals
- International Journal of Hematology (52 papers)Blood (44 papers)Cancer Science (29 papers)Journal of Clinical Oncology (13 papers)Leukemia (12 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Shinsuke Iida
312 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 119
- Hematology 2.2k
- Immunology 2.7k
- Genetics 1.2k
- Oncology 2.7k
- Pathology and Forensic Medicine 1.5k
Countries citing papers authored by Shinsuke Iida
This map shows the geographic impact of Shinsuke Iida'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 Shinsuke Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinsuke Iida more than expected).
Fields of papers citing papers by Shinsuke Iida
This network shows the impact of papers produced by Shinsuke Iida. 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 Shinsuke Iida. The network helps show where Shinsuke Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinsuke Iida, 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 331 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 279 | |
| 2 | Clinical significance of CCR4 expression in adult T-cell leukemia/lymphoma: its close association with skin involvement and unfavorable outcome. | 2003 | 268 |
| 3 | 2006 | 246 | |
| 4 | 2004 | 234 | |
| 5 | 2010 | 192 | |
| 6 | 1996 | 185 | |
| 7 | 2015 | 179 | |
| 8 | 2001 | 158 | |
| 9 | 2000 | 151 | |
| 10 | 2012 | 146 | |
| 11 | 2004 | 140 | |
| 12 | 2010 | 139 | |
| 13 | 2012 | 133 | |
| 14 | 2004 | 127 | |
| 15 | 1998 | 114 | |
| 16 | 2003 | 103 | |
| 17 | 2014 | 102 | |
| 18 | 2020 | 100 | |
| 19 | 2013 | 99 | |
| 20 | 1991 | 98 |
About Shinsuke Iida
Shinsuke Iida is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 331 papers that have together received 7.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (157 papers), Protein Degradation and Inhibitors (61 papers), Peptidase Inhibition and Analysis (51 papers), T-cell and Retrovirus Studies (50 papers), Chronic Lymphocytic Leukemia Research (46 papers), Lymphoma Diagnosis and Treatment (38 papers), Immune Cell Function and Interaction (26 papers) and Cancer Treatment and Pharmacology (25 papers). The work is most often cited by research in Hematology (2.2k citations), Immunology (2.7k citations), Genetics (1.2k citations), Oncology (2.7k citations) and Pathology and Forensic Medicine (1.5k citations). Shinsuke Iida has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Ryuzo Ueda, Hirokazu Komatsu, Takashi Ishida, Shigeru Kusumoto, Hiroshi Inagaki, Masaki Ri, Atsushi Inagaki, Riccardo Dalla‐Favera, Atae Utsunomiya and Asahi Ito. Their work appears in journals such as International Journal of Hematology, Blood, Cancer Science, Journal of Clinical Oncology and Leukemia.
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.