Go Yamamoto
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 33
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 16
- Chronic Myeloid Leukemia Treatments 7
- Genetics 19
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Motoshi IchikawaShigeru ChibaSeishi OgawaTakashi AsaiTakashi SaitoSachiko SeoMineo KurokawaKinuko Mitani
- Journals
- Blood (22 papers)International Journal of Hematology (10 papers)Biology of Blood and Marrow Transplantation (6 papers)The Journal of Immunology (3 papers)Transplantation and Cellular Therapy (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Go Yamamoto
105 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Hematology 845
- Immunology 634
- Genetics 319
- Oncology 645
- Pathology and Forensic Medicine 369
Countries citing papers authored by Go Yamamoto
This map shows the geographic impact of Go Yamamoto'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 Go Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Yamamoto more than expected).
Fields of papers citing papers by Go Yamamoto
This network shows the impact of papers produced by Go Yamamoto. 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 Go Yamamoto. The network helps show where Go Yamamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Yamamoto, 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 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 20 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 50 | |
| 11 | 2020 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 20 | |
| 14 | 2015 | 0 | |
| 15 | 2013 | 30 | |
| 16 | 2007 | 65 | |
| 17 | 2007 | 180 | |
| 18 | 2005 | 1 | |
| 19 | 2005 | 31 | |
| 20 | 2003 | 435 |
About Go Yamamoto
Go Yamamoto is a scholar working on Hematology, Genetics, Microbiology, Pathology and Forensic Medicine and Endocrinology, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (16 papers), Chronic Lymphocytic Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Viral-associated cancers and disorders (7 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Hematology (845 citations), Immunology (634 citations), Genetics (319 citations), Oncology (645 citations) and Pathology and Forensic Medicine (369 citations). Go Yamamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Motoshi Ichikawa, Shigeru Chiba, Seishi Ogawa, Takashi Asai, Takashi Saito, Sachiko Seo, Mineo Kurokawa, Kinuko Mitani, Tetsuya Yamagata and Hisamaru Hirai. Their work appears in journals such as Blood, International Journal of Hematology, Biology of Blood and Marrow Transplantation, The Journal of Immunology and Transplantation and Cellular Therapy.
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.