Sho Ikeda
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
-
- Histone Deacetylase Inhibitors Research 7
- Protein Degradation and Inhibitors 6
- Circular RNAs in diseases 4
- Hematology 15
- Multiple Myeloma Research and Treatments 13
- Co-authors
- Hiroyuki Tagawa (21 shared papers)Akihiro Kitadate (24 shared papers)Naoto Takahashi (29 shared papers)Kenichi Sawada (4 shared papers)Kazuaki Teshima (9 shared papers)Miho Nara (7 shared papers)Atsushi Watanabe (3 shared papers)Junsuke Yamashita (4 shared papers)
- Journals
- Blood (8 papers)Cancer Science (7 papers)Oncotarget (2 papers)International Journal of Hematology (2 papers)Oncogene (2 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Sho Ikeda
41 papers receiving 709 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 215
- Hematology 120
- Dermatology 92
- Immunology 135
- Molecular Biology 373
Countries citing papers authored by Sho Ikeda
This map shows the geographic impact of Sho Ikeda'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 Sho Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sho Ikeda more than expected).
Fields of papers citing papers by Sho Ikeda
This network shows the impact of papers produced by Sho Ikeda. 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 Sho Ikeda. The network helps show where Sho Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Sho Ikeda, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2018 | 58 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 49 | |
| 5 | 2015 | 48 | |
| 6 | 2013 | 45 | |
| 7 | 2014 | 38 | |
| 8 | 2019 | 33 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2019 | 27 | |
| 12 | 2021 | 27 | |
| 13 | 2016 | 22 | |
| 14 | 2017 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Sho Ikeda
Sho Ikeda is a scholar working on Molecular Biology, Hematology, Immunology, Dermatology and Cancer Research, having authored 50 papers that have together received 713 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), T-cell and Retrovirus Studies (9 papers), Cutaneous lymphoproliferative disorders research (9 papers), Histone Deacetylase Inhibitors Research (7 papers), Protein Degradation and Inhibitors (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (215 citations), Hematology (120 citations), Dermatology (92 citations), Immunology (135 citations) and Molecular Biology (373 citations). Sho Ikeda has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Hiroyuki Tagawa, Akihiro Kitadate, Naoto Takahashi, Kenichi Sawada, Kazuaki Teshima, Miho Nara, Atsushi Watanabe, Junsuke Yamashita, Tomomitsu Miyagaki and Makoto Sugaya. Their work appears in journals such as Blood, Cancer Science, Oncotarget, International Journal of Hematology 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.