Shingo Yano
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 108
- Acute Myeloid Leukemia Research 69
- Hematopoietic Stem Cell Transplantation 57
- Chronic Myeloid Leukemia Treatments 27
- Multiple Myeloma Research and Treatments 24
- Genetics 31
- Chronic Lymphocytic Leukemia Research 25
- Co-authors
- Tetsuji AsaoNorihiko SuzukiMasakazu FukushimaYukio TadaYoshiko AtsutaHideki KazunoTomohiro EmuraHeiwa Kanamori
- Journals
- Bone Marrow Transplantation (17 papers)Blood (17 papers)International Journal of Hematology (13 papers)Biology of Blood and Marrow Transplantation (13 papers)Annals of Hematology (9 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Shingo Yano
157 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Hematology 956
- Genetics 349
- Oncology 506
- Immunology 297
- Public Health, Environmental and Occupational Health 309
Countries citing papers authored by Shingo Yano
This map shows the geographic impact of Shingo Yano'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 Shingo Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Yano more than expected).
Fields of papers citing papers by Shingo Yano
This network shows the impact of papers produced by Shingo Yano. 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 Shingo Yano. The network helps show where Shingo Yano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shingo Yano, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 30 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 0 | |
| 20 | 1989 | 5 |
About Shingo Yano
Shingo Yano is a scholar working on Hematology, Genetics, Transplantation, Oncology and Public Health, Environmental and Occupational Health, having authored 173 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (69 papers), Hematopoietic Stem Cell Transplantation (57 papers), Acute Lymphoblastic Leukemia research (34 papers), Chronic Myeloid Leukemia Treatments (27 papers), Chronic Lymphocytic Leukemia Research (25 papers), Multiple Myeloma Research and Treatments (24 papers), Lymphoma Diagnosis and Treatment (16 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Hematology (956 citations), Genetics (349 citations), Oncology (506 citations), Immunology (297 citations) and Public Health, Environmental and Occupational Health (309 citations). Shingo Yano has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tetsuji Asao, Norihiko Suzuki, Masakazu Fukushima, Yukio Tada, Yoshiko Atsuta, Hideki Kazuno, Tomohiro Emura, Heiwa Kanamori, Takahiro Fukuda and Naoyuki Uchida. Their work appears in journals such as Bone Marrow Transplantation, Blood, International Journal of Hematology, Biology of Blood and Marrow Transplantation and Annals of Hematology.
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.