Yu Abe
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 16
- Oncology 13
- Cancer Treatment and Pharmacology 5
- Peptidase Inhibition and Analysis 5
- Co-authors
- Kenshi Suzuki (24 shared papers)Yasunori Nakagawa (4 shared papers)Kiyoshi Yokokawa (1 shared paper)Mie Nieda (1 shared paper)Shigenori Goto (1 shared paper)Andrew J. Nicol (1 shared paper)Tadao Ishida (13 shared papers)Naoya Kojima (2 shared papers)
- Journals
- International Journal of Hematology (5 papers)Annals of Hematology (4 papers)Blood (3 papers)Experimental Hematology (1 paper)HemaSphere (1 paper)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Yu Abe
25 papers receiving 319 citations
Peers
Comparison fields: 5 of 46
- Hematology 99
- Immunology 186
- Oncology 169
- Genetics 24
- Molecular Biology 102
Countries citing papers authored by Yu Abe
This map shows the geographic impact of Yu Abe'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 Yu Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Abe more than expected).
Fields of papers citing papers by Yu Abe
This network shows the impact of papers produced by Yu Abe. 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 Yu Abe. The network helps show where Yu Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Abe, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 151 | |
| 2 | 2008 | 34 | |
| 3 | 2015 | 24 | |
| 4 | 2019 | 20 | |
| 5 | 2008 | 18 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2019 | 9 | |
| 10 | 2008 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2019 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Yu Abe
Yu Abe is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 326 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Cancer Treatment and Pharmacology (5 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (99 citations), Immunology (186 citations), Oncology (169 citations), Genetics (24 citations) and Molecular Biology (102 citations). Yu Abe has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kenshi Suzuki, Yasunori Nakagawa, Kiyoshi Yokokawa, Mie Nieda, Shigenori Goto, Andrew J. Nicol, Tadao Ishida, Naoya Kojima, Nobuhiro Tsukada and Hideaki Takagi. Their work appears in journals such as International Journal of Hematology, Annals of Hematology, Blood, Experimental Hematology and HemaSphere.
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.