Yuta Baba
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
-
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 7
- Hematopoietic Stem Cell Transplantation 3
- Immunology 10
- Immune Cell Function and Interaction 7
- Co-authors
- Chikara Kawagoe (1 shared paper)Naotsune Saga (1 shared paper)Bhaskar Narayan (1 shared paper)Hajime Yasui (1 shared paper)Kazuo Miyashita (1 shared paper)Masashi Hosokawa (1 shared paper)Atsushi Hirose (1 shared paper)Masaru Terasaki (1 shared paper)
In The Last Decade
Yuta Baba
37 papers receiving 463 citations
Peers
Comparison fields: 5 of 79
- Aquatic Science 139
- Hematology 68
- Immunology 84
- Oncology 99
- Renewable Energy, Sustainability and the Environment 52
Countries citing papers authored by Yuta Baba
This map shows the geographic impact of Yuta Baba'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 Yuta Baba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Baba more than expected).
Fields of papers citing papers by Yuta Baba
This network shows the impact of papers produced by Yuta Baba. 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 Yuta Baba. The network helps show where Yuta Baba may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuta Baba, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 161 | |
| 2 | 2019 | 40 | |
| 3 | 2023 | 38 | |
| 4 | 2024 | 30 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2018 | 16 | |
| 8 | 2015 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 7 | |
| 13 | Ki-67 expression of immunohistochemistry using computerized image analysis is a useful prognostic marker in follicular lymphomas. | 2018 | 7 |
| 14 | 2024 | 7 | |
| 15 | 2025 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2022 | 5 |
About Yuta Baba
Yuta Baba is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Emergency Medicine, having authored 40 papers that have together received 473 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Gut microbiota and health (6 papers), Hematological disorders and diagnostics (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Aquatic Science (139 citations), Hematology (68 citations), Immunology (84 citations), Oncology (99 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Yuta Baba has collaborated with scholars based in Japan and India. Frequent co-authors include Chikara Kawagoe, Naotsune Saga, Bhaskar Narayan, Hajime Yasui, Kazuo Miyashita, Masashi Hosokawa, Atsushi Hirose, Masaru Terasaki, Hiroshi Harada and Tsuyoshi Nakamaki. Their work appears in journals such as International Journal of Hematology, Scientific Reports, Transplantation and Cellular Therapy, Cancer Immunology Immunotherapy 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.