Hideki Sano
Impact in
- Immunology top 2%
- Galectins and Cancer Biology
- Macrophage Migration Inhibitory Factor
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Hematology 24
- Hematopoietic Stem Cell Transplantation 20
- Oncology 19
- Neutropenia and Cancer Infections 4
- Co-authors
- Fu‐Tong Liu (5 shared papers)Ichiro Kuwabara (4 shared papers)Daniel K. Hsu (3 shared papers)John Apgar (3 shared papers)Lan Yu (3 shared papers)Itsuo Iwamoto (6 shared papers)Shozo Izui (2 shared papers)Bhavya Bhavna Sharma (2 shared papers)
- Journals
- Pediatric Blood & Cancer (6 papers)International Journal of Hematology (6 papers)Journal of Pediatric Hematology/Oncology (4 papers)Transfusion Medicine (2 papers)Blood (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Hideki Sano
66 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 106
- Immunology 1.4k
- Immunology and Allergy 177
- Hematology 155
- Oncology 343
- Anesthesiology and Pain Medicine 64
Countries citing papers authored by Hideki Sano
This map shows the geographic impact of Hideki Sano'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 Hideki Sano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Sano more than expected).
Fields of papers citing papers by Hideki Sano
This network shows the impact of papers produced by Hideki Sano. 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 Hideki Sano. The network helps show where Hideki Sano may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Sano, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 427 | |
| 2 | 2000 | 323 | |
| 3 | 2003 | 305 | |
| 4 | 2003 | 303 | |
| 5 | 1994 | 261 | |
| 6 | 2007 | 174 | |
| 7 | 2006 | 84 | |
| 8 | 1998 | 66 | |
| 9 | 2001 | 61 | |
| 10 | 1995 | 56 | |
| 11 | 2006 | 37 | |
| 12 | 2010 | 31 | |
| 13 | 1997 | 29 | |
| 14 | 2019 | 24 | |
| 15 | 2020 | 21 | |
| 16 | 2006 | 21 | |
| 17 | 2011 | 21 | |
| 18 | 2003 | 20 | |
| 19 | 2011 | 20 | |
| 20 | 2010 | 20 |
About Hideki Sano
Hideki Sano is a scholar working on Hematology, Oncology, Immunology, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (20 papers), Acute Lymphoblastic Leukemia research (11 papers), Neuroblastoma Research and Treatments (6 papers), Galectins and Cancer Biology (5 papers), Signaling Pathways in Disease (5 papers), T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Neutropenia and Cancer Infections (4 papers). The work is most often cited by research in Immunology (1.4k citations), Immunology and Allergy (177 citations), Hematology (155 citations), Oncology (343 citations) and Anesthesiology and Pain Medicine (64 citations). Hideki Sano has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Fu‐Tong Liu, Ichiro Kuwabara, Daniel K. Hsu, John Apgar, Lan Yu, Itsuo Iwamoto, Shozo Izui, Bhavya Bhavna Sharma, Kazuhiro Kurasawa and Hiroshi Nakajima. Their work appears in journals such as Pediatric Blood & Cancer, International Journal of Hematology, Journal of Pediatric Hematology/Oncology, Transfusion Medicine and Blood.
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.