Mariko Eguchi
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Platelet Disorders and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 38
- Acute Myeloid Leukemia Research 29
- Chronic Myeloid Leukemia Treatments 14
- Genetics 12
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Minenori Eguchi‐IshimaeEiichi IshiiNanao KamadaMel GreavesKimio TanakaShuki MizutaniShigetaka AsanoKazufumi Tsuchihashi
- Journals
- Blood (10 papers)Leukemia (6 papers)British Journal of Haematology (4 papers)International Journal of Hematology (4 papers)Genes Chromosomes and Cancer (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mariko Eguchi
118 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 115
- Hematology 845
- Genetics 249
- Public Health, Environmental and Occupational Health 461
- Cancer Research 183
- Molecular Biology 832
Countries citing papers authored by Mariko Eguchi
This map shows the geographic impact of Mariko 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 Mariko Eguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Eguchi more than expected).
Fields of papers citing papers by Mariko Eguchi
This network shows the impact of papers produced by Mariko 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 Mariko Eguchi. The network helps show where Mariko Eguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mariko 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2012 | 17 | |
| 15 | 2009 | 10 | |
| 16 | 2007 | 97 | |
| 17 | 2000 | 45 | |
| 18 | 1999 | 9 | |
| 19 | 1999 | 19 | |
| 20 | 1997 | 6 |
About Mariko Eguchi
Mariko Eguchi is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Cancer Research and Microbiology, having authored 123 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (29 papers), Acute Lymphoblastic Leukemia research (23 papers), Chronic Myeloid Leukemia Treatments (14 papers), Epigenetics and DNA Methylation (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Protein Degradation and Inhibitors (7 papers), Cardiac Imaging and Diagnostics (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Hematology (845 citations), Genetics (249 citations), Public Health, Environmental and Occupational Health (461 citations), Cancer Research (183 citations) and Molecular Biology (832 citations). Mariko Eguchi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Minenori Eguchi‐Ishimae, Eiichi Ishii, Nanao Kamada, Mel Greaves, Kimio Tanaka, Shuki Mizutani, Shigetaka Asano, Kazufumi Tsuchihashi, Toshiro Hara and Tomoaki Nakata. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, International Journal of Hematology and Genes Chromosomes and Cancer.
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.