Etsuko Sekimoto
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 5
- Blood Coagulation and Thrombosis Mechanisms 4
- Hemophilia Treatment and Research 2
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- Glycosylation and Glycoproteins Research 3
- Cancer-related gene regulation 2
- Co-authors
- Shuji Ozaki (22 shared papers)Hironobu Shibata (21 shared papers)Masahiro Abe (8 shared papers)Toshihiro Hashimoto (6 shared papers)Toshio Matsumoto (6 shared papers)Daisuke Inoue (2 shared papers)Takashi Oshima (2 shared papers)Yoïchi Tanaka (4 shared papers)
- Journals
- Blood (5 papers)International Journal of Hematology (2 papers)Thrombosis Research (1 paper)Cancers (1 paper)Blood Coagulation & Fibrinolysis (1 paper)
- Partner nations
- Japan
In The Last Decade
Etsuko Sekimoto
17 papers receiving 317 citations
Peers
Comparison fields: 5 of 54
- Hematology 172
- Microbiology 6
- Oncology 179
- Molecular Biology 152
- Genetics 18
Countries citing papers authored by Etsuko Sekimoto
This map shows the geographic impact of Etsuko Sekimoto'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 Etsuko Sekimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etsuko Sekimoto more than expected).
Fields of papers citing papers by Etsuko Sekimoto
This network shows the impact of papers produced by Etsuko Sekimoto. 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 Etsuko Sekimoto. The network helps show where Etsuko Sekimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Etsuko Sekimoto, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 258 | |
| 2 | 2007 | 20 | |
| 3 | 2019 | 13 | |
| 4 | 2004 | 6 | |
| 5 | 2013 | 6 | |
| 6 | 2017 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2005 | 1 | |
| 11 | 2004 | 1 | |
| 12 | 2004 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2018 | 0 | |
| 19 | 2019 | 0 | |
| 20 | 2016 | 0 |
About Etsuko Sekimoto
Etsuko Sekimoto is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 22 papers that have together received 320 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Hemophilia Treatment and Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hematology (172 citations), Microbiology (6 citations), Oncology (179 citations), Molecular Biology (152 citations) and Genetics (18 citations). Etsuko Sekimoto has collaborated with scholars based in Japan. Frequent co-authors include Shuji Ozaki, Hironobu Shibata, Masahiro Abe, Toshihiro Hashimoto, Toshio Matsumoto, Daisuke Inoue, Takashi Oshima, Yoïchi Tanaka, Ken-ichi Kitazoe and Jin Asano. Their work appears in journals such as Blood, International Journal of Hematology, Thrombosis Research, Cancers and Blood Coagulation & Fibrinolysis.
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.