Eiko Kitamura
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Retinoids in leukemia and cellular processes
- Protein Degradation and Inhibitors
- RNA modifications and cancer
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Fibroblast Growth Factor Research 3
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
- Genetics 7
- Co-authors
- John K. Cowell (11 shared papers)Kenji Shinohara (2 shared papers)Takahiro Nagase (2 shared papers)Toshie Gamou (2 shared papers)Fumie Hosoda (3 shared papers)Yasunobu Yokoyama (2 shared papers)Yasuhide Hayashi (2 shared papers)Kimiko Shimizu (2 shared papers)
- Journals
- Genomics (4 papers)Blood (3 papers)Journal of Clinical Microbiology (2 papers)Oncogene (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Eiko Kitamura
33 papers receiving 690 citations
Peers
Comparison fields: 5 of 78
- Hematology 180
- Molecular Biology 435
- Genetics 47
- Cancer Research 65
- Genetics 125
Countries citing papers authored by Eiko Kitamura
This map shows the geographic impact of Eiko Kitamura'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 Eiko Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Kitamura more than expected).
Fields of papers citing papers by Eiko Kitamura
This network shows the impact of papers produced by Eiko Kitamura. 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 Eiko Kitamura. The network helps show where Eiko Kitamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiko Kitamura, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 180 | |
| 2 | 2007 | 74 | |
| 3 | 2002 | 39 | |
| 4 | 2008 | 37 | |
| 5 | 2018 | 30 | |
| 6 | 2008 | 28 | |
| 7 | 2013 | 27 | |
| 8 | 2009 | 26 | |
| 9 | 1998 | 25 | |
| 10 | 2008 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 1994 | 22 | |
| 13 | 1996 | 19 | |
| 14 | 2006 | 19 | |
| 15 | 2018 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2000 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 1993 | 13 | |
| 20 | 2009 | 9 |
About Eiko Kitamura
Eiko Kitamura is a scholar working on Molecular Biology, Genetics, Hematology, Rheumatology and Cancer Research, having authored 34 papers that have together received 712 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Acute Myeloid Leukemia Research (4 papers), Fibroblast Growth Factor Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (180 citations), Molecular Biology (435 citations), Genetics (47 citations), Cancer Research (65 citations) and Genetics (125 citations). Eiko Kitamura has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include John K. Cowell, Kenji Shinohara, Takahiro Nagase, Toshie Gamou, Fumie Hosoda, Yasunobu Yokoyama, Yasuhide Hayashi, Kimiko Shimizu, Misao Ohki and Haiyan Qin. Their work appears in journals such as Genomics, Blood, Journal of Clinical Microbiology, Oncogene and Bioscience Biotechnology and Biochemistry.
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.