Yoichi Imai
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
- Hematology 64
- Acute Myeloid Leukemia Research 30
- Multiple Myeloma Research and Treatments 12
- Immunology 41
- Immune Cell Function and Interaction 21
- Immunotherapy and Immune Responses 11
- Co-authors
- Mineo KurokawaHisamaru HiraiKinuko MitaniSteven D. RosenSeishi OgawaC FennieLaurence A. LaskyKoji Izutsu
- Journals
- Blood (29 papers)International Journal of Hematology (9 papers)Bone Marrow Transplantation (7 papers)The Journal of Immunology (4 papers)Oncogene (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yoichi Imai
179 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 144
- Hematology 1.5k
- Immunology and Allergy 562
- Immunology 871
- Genetics 421
- Oncology 1.1k
Countries citing papers authored by Yoichi Imai
This map shows the geographic impact of Yoichi Imai'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 Yoichi Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Imai more than expected).
Fields of papers citing papers by Yoichi Imai
This network shows the impact of papers produced by Yoichi Imai. 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 Yoichi Imai. The network helps show where Yoichi Imai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoichi Imai, 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 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 10 | |
| 6 | Estradiol accelerates liver regeneration through estrogen receptor α | 2019 | 1 |
| 7 | 2012 | 22 | |
| 8 | 2011 | 53 | |
| 9 | 2009 | 8 | |
| 10 | 2008 | 17 | |
| 11 | 2005 | 55 | |
| 12 | 2005 | 21 | |
| 13 | 2004 | 76 | |
| 14 | 2003 | 32 | |
| 15 | 2000 | 20 | |
| 16 | 1997 | 12 | |
| 17 | 1996 | 237 | |
| 18 | 1994 | 156 | |
| 19 | 1990 | 4 | |
| 20 | Renal kallikrein-kinin system and prostaglandin in hypertension: their relation to renin-angiotensin-aldosterone system. | 1979 | 2 |
About Yoichi Imai
Yoichi Imai is a scholar working on Hematology, Immunology, Genetics, Transplantation and Oncology, having authored 189 papers that have together received 5.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Immune Cell Function and Interaction (21 papers), Protein Degradation and Inhibitors (15 papers), Glycosylation and Glycoproteins Research (14 papers), Multiple Myeloma Research and Treatments (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), RNA Interference and Gene Delivery (11 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Hematology (1.5k citations), Immunology and Allergy (562 citations), Immunology (871 citations), Genetics (421 citations) and Oncology (1.1k citations). Yoichi Imai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Mineo Kurokawa, Hisamaru Hirai, Kinuko Mitani, Steven D. Rosen, Seishi Ogawa, C Fennie, Laurence A. Lasky, Koji Izutsu, Akira Hangaishi and M S Singer. Their work appears in journals such as Blood, International Journal of Hematology, Bone Marrow Transplantation, The Journal of Immunology and Oncogene.
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.