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
- Hematopoietic Stem Cell Transplantation 2
- Oncology 13
- Cancer Treatment and Pharmacology 5
- Peptidase Inhibition and Analysis 5
- Co-authors
- Kenshi Suzuki (24 shared papers)Yasunori Nakagawa (4 shared papers)Mie Nieda (1 shared paper)Andrew J. Nicol (1 shared paper)Shigenori Goto (1 shared paper)Kiyoshi Yokokawa (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)Glycobiology (1 paper)The Journal of Biochemistry (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yu Abe
25 papers receiving 330 citations
Peers
Comparison fields: 5 of 46
- Hematology 96
- Immunology 174
- Oncology 144
- Genetics 21
- Radiology, Nuclear Medicine and Imaging 30
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 | 153 | |
| 2 | 2008 | 35 | |
| 3 | 2015 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2008 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2008 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 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 337 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), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Protein Degradation and Inhibitors (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (96 citations), Immunology (174 citations), Oncology (144 citations), Genetics (21 citations) and Radiology, Nuclear Medicine and Imaging (30 citations). Yu Abe has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kenshi Suzuki, Yasunori Nakagawa, Mie Nieda, Andrew J. Nicol, Shigenori Goto, Kiyoshi Yokokawa, Tadao Ishida, Naoya Kojima, Nobuhiro Tsukada and Chiaki Kato. Their work appears in journals such as International Journal of Hematology, Annals of Hematology, Blood, Glycobiology and The Journal of 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.