Tohru Inaba
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Autoimmune and Inflammatory Disorders Research
- Genetics top 5%
Papers in
- Hematology 54
- Multiple Myeloma Research and Treatments 20
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 14
- Genetics 20
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Chihiro ShimazakiEishi AshiharaNaohisa FujitaMasao NakagawaHideyo HiraiHideo GotoToshiya SumikumaShigeo Nakamura
- Journals
- International Journal of Hematology (8 papers)British Journal of Haematology (5 papers)Bone Marrow Transplantation (5 papers)Blood (4 papers)Acta Haematologica (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tohru Inaba
110 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Hematology 758
- Genetics 300
- Neurology 311
- Pathology and Forensic Medicine 342
- Immunology 392
Countries citing papers authored by Tohru Inaba
This map shows the geographic impact of Tohru Inaba'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 Tohru Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tohru Inaba more than expected).
Fields of papers citing papers by Tohru Inaba
This network shows the impact of papers produced by Tohru Inaba. 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 Tohru Inaba. The network helps show where Tohru Inaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Tohru Inaba, 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 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 34 | |
| 10 | 2019 | 4 | |
| 11 | Measurement and analysis of pH in human vitreous body | 2018 | 1 |
| 12 | New Alert Message Settings for the XN-series Automated Hematology Analyzer Are Useful for Avoiding Falsely High WBC Counts and to Detect Specimens with Giant Platelets. | 2017 | 1 |
| 13 | 2008 | 14 | |
| 14 | 2008 | 22 | |
| 15 | 2007 | 6 | |
| 16 | 1998 | 13 | |
| 17 | 1997 | 8 | |
| 18 | 1997 | 23 | |
| 19 | 1993 | 4 | |
| 20 | 1992 | 15 |
About Tohru Inaba
Tohru Inaba is a scholar working on Hematology, Genetics, Oncology, Emergency Medicine and Immunology, having authored 117 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Hematological disorders and diagnostics (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Neutropenia and Cancer Infections (9 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (758 citations), Genetics (300 citations), Neurology (311 citations), Pathology and Forensic Medicine (342 citations) and Immunology (392 citations). Tohru Inaba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Chihiro Shimazaki, Eishi Ashihara, Naohisa Fujita, Masao Nakagawa, Hideyo Hirai, Hideo Goto, Toshiya Sumikuma, Shigeo Nakamura, Noboru Yamagata and Hidehiko Saito. Their work appears in journals such as International Journal of Hematology, British Journal of Haematology, Bone Marrow Transplantation, Blood and Acta Haematologica.
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.