Yuichi Yahagi
Impact in
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 6
- Multiple Myeloma Research and Treatments 4
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 3
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- Protein Tyrosine Phosphatases 2
- Co-authors
- Takuji Shirasawa (7 shared papers)Naoki Maruyama (3 shared papers)Hiroshi Mori (2 shared papers)Toshifumi Tomoda (3 shared papers)Hidehito Kuroyanagi (2 shared papers)Hideyuki Takagi (2 shared papers)Kensaku Miyake (2 shared papers)Osamu Sakai (1 shared paper)
- Journals
- International Journal of Hematology (4 papers)FEBS Letters (1 paper)Japanese Journal of Clinical Oncology (1 paper)Journal of Neuroscience (1 paper)Biochemical Journal (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yuichi Yahagi
26 papers receiving 412 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 16
- Hematology 42
- Molecular Biology 257
- Nephrology 26
- Physiology 76
Countries citing papers authored by Yuichi Yahagi
This map shows the geographic impact of Yuichi Yahagi'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 Yuichi Yahagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Yahagi more than expected).
Fields of papers citing papers by Yuichi Yahagi
This network shows the impact of papers produced by Yuichi Yahagi. 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 Yuichi Yahagi. The network helps show where Yuichi Yahagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Yahagi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 129 | |
| 2 | 1995 | 85 | |
| 3 | 1996 | 50 | |
| 4 | 1996 | 39 | |
| 5 | 1997 | 34 | |
| 6 | 2018 | 10 | |
| 7 | 2010 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2014 | 6 | |
| 10 | 1996 | 6 | |
| 11 | 1996 | 6 | |
| 12 | 2011 | 6 | |
| 13 | 2011 | 5 | |
| 14 | 2002 | 4 | |
| 15 | Severe aplastic anemia associated with chronic natural killer cell lymphocytosis. | 2000 | 4 |
| 16 | 2020 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 1996 | 2 | |
| 20 | 2019 | 1 |
About Yuichi Yahagi
Yuichi Yahagi is a scholar working on Hematology, Molecular Biology, Neurology, Genetics and Oncology, having authored 28 papers that have together received 417 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Protein Tyrosine Phosphatases (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Developmental Neuroscience (16 citations), Hematology (42 citations), Molecular Biology (257 citations), Nephrology (26 citations) and Physiology (76 citations). Yuichi Yahagi has collaborated with scholars based in Japan and United States. Frequent co-authors include Takuji Shirasawa, Naoki Maruyama, Hiroshi Mori, Toshifumi Tomoda, Hidehito Kuroyanagi, Hideyuki Takagi, Kensaku Miyake, Osamu Sakai, Takamune Takahashi and Noriyuki Kasahara. Their work appears in journals such as International Journal of Hematology, FEBS Letters, Japanese Journal of Clinical Oncology, Journal of Neuroscience and Biochemical Journal.
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.