Mitsuoki Eguchi
- Hematology top 1%
- Acute Myeloid Leukemia Research 24
- Platelet Disorders and Treatments 10
- Chronic Myeloid Leukemia Treatments 8
- Genetics top 5%
- Immunology and Allergy top 5%
- Immunology top 5%
- Mast cells and histamine 8
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- Cell Biology top 10%
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- Acute Lymphoblastic Leukemia research 13
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- Erythrocyte Function and Pathophysiology 9
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- Glycosylation and Glycoproteins Research 7
- Co-authors
- Norio KomatsuYasusada MiuraTatsutoshi NakahataMasaaki MoroiAkiyoshi MiwaKenichi SugitaToshio SudaHiromitsu Nakauchi
- Journals
- British Journal of Haematology (9 papers)Blood (8 papers)Journal of Pediatric Hematology/Oncology (3 papers)
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Mitsuoki Eguchi
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Hematology 878
- Genetics 330
- Immunology and Allergy 156
- Immunology 469
- Cell Biology 204
Countries citing papers authored by Mitsuoki Eguchi
This map shows the geographic impact of Mitsuoki Eguchi'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 Mitsuoki Eguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuoki Eguchi more than expected).
Fields of papers citing papers by Mitsuoki Eguchi
This network shows the impact of papers produced by Mitsuoki Eguchi. 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 Mitsuoki Eguchi. The network helps show where Mitsuoki Eguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsuoki Eguchi, 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 | 2013 | 3 | |
| 2 | 2008 | 0 | |
| 3 | 2007 | 12 | |
| 4 | 2005 | 6 | |
| 5 | 2003 | 35 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 6 | |
| 8 | 2000 | 7 | |
| 9 | 1999 | 30 | |
| 10 | 1996 | 21 | |
| 11 | 1991 | 13 | |
| 12 | Ultrastructural distribution of periodate-reactive glycoconjugates in megakaryoblastic leukemia. | 1990 | 1 |
| 13 | 1989 | 1 | |
| 14 | 1989 | 149 | |
| 15 | 1988 | 16 | |
| 16 | 1988 | 21 | |
| 17 | 1988 | 9 | |
| 18 | 1987 | 3 | |
| 19 | 1984 | 6 | |
| 20 | Phagocytosis of blood cells by blasts in childhood acute leukemia. Electron microscopic observations in two cases. | 1977 | 2 |
About Mitsuoki Eguchi
Mitsuoki Eguchi is a scholar working on Hematology, Genetics and Immunology, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Acute Lymphoblastic Leukemia research (13 papers), Platelet Disorders and Treatments (10 papers), Erythrocyte Function and Pathophysiology (9 papers), Mast cells and histamine (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers). The work is most often cited by research in Hematology (878 citations), Genetics (330 citations) and Immunology and Allergy (156 citations). Mitsuoki Eguchi has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Norio Komatsu, Yasusada Miura, Tatsutoshi Nakahata, Masaaki Moroi, Akiyoshi Miwa, Kenichi Sugita, Toshio Suda, Hiromitsu Nakauchi, Yoshihito Yawata and M Okada. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Pediatric Hematology/Oncology, Journal of Histochemistry & Cytochemistry and Medical Molecular Morphology.
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.