Yuko Ishihara
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
- Hematology 17
- Hematopoietic Stem Cell Transplantation 14
- Multiple Myeloma Research and Treatments 3
- Oncology 15
- Neutropenia and Cancer Infections 8
- Viral-associated cancers and disorders 2
- Co-authors
- Shinichi Kako (31 shared papers)Koji Kawamura (32 shared papers)Miki Sato (31 shared papers)Yoshinobu Kanda (30 shared papers)Misato Kikuchi (31 shared papers)Hideki Nakasone (31 shared papers)Kana Sakamoto (28 shared papers)Junya Kanda (22 shared papers)
In The Last Decade
Yuko Ishihara
36 papers receiving 392 citations
Peers
Comparison fields: 5 of 54
- Hematology 181
- Transplantation 15
- Oncology 115
- Clinical Biochemistry 24
- Immunology 68
Countries citing papers authored by Yuko Ishihara
This map shows the geographic impact of Yuko Ishihara'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 Yuko Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Ishihara more than expected).
Fields of papers citing papers by Yuko Ishihara
This network shows the impact of papers produced by Yuko Ishihara. 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 Yuko Ishihara. The network helps show where Yuko Ishihara may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Ishihara, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 58 | |
| 2 | 2016 | 34 | |
| 3 | 2013 | 27 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 23 | |
| 6 | 2018 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2017 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2013 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2013 | 6 |
About Yuko Ishihara
Yuko Ishihara is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Epidemiology and Infectious Diseases, having authored 38 papers that have together received 394 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Neutropenia and Cancer Infections (8 papers), Lymphoma Diagnosis and Treatment (5 papers), Antifungal resistance and susceptibility (3 papers), Herpesvirus Infections and Treatments (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (181 citations), Transplantation (15 citations), Oncology (115 citations), Clinical Biochemistry (24 citations) and Immunology (68 citations). Yuko Ishihara has collaborated with scholars based in Japan, Ireland and India. Frequent co-authors include Shinichi Kako, Koji Kawamura, Miki Sato, Yoshinobu Kanda, Misato Kikuchi, Hideki Nakasone, Kana Sakamoto, Junya Kanda, Kiriko Terasako‐Saito and Yu Akahoshi. Their work appears in journals such as International Journal of Hematology, Biology of Blood and Marrow Transplantation, Annals of Hematology, Infectious Diseases and Scientific Reports.
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.