Yuichi Hasegawa
- Hematology top 2%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Toshiro NagasawaHiroshi KojimaHaruhiko NinomiyaShigeru ChibaTsukasa AbeHarumi Y. MukaiKazumi SuzukawaYasuhisa Yokoyama
- Topics
- Lymphoma Diagnosis and Treatment (24 papers)Chronic Lymphocytic Leukemia Research (11 papers)CNS Lymphoma Diagnosis and Treatment (11 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Yuichi Hasegawa
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Hematology 453
- Pathology and Forensic Medicine 413
- Molecular Biology 392
- Oncology 369
- Immunology 322
Countries citing papers authored by Yuichi Hasegawa
This map shows the geographic impact of Yuichi Hasegawa'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 Hasegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Hasegawa more than expected).
Fields of papers citing papers by Yuichi Hasegawa
This network shows the impact of papers produced by Yuichi Hasegawa. 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 Hasegawa. The network helps show where Yuichi Hasegawa may publish in the future.
Co-authorship network of co-authors of Yuichi Hasegawa
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Hasegawa. A scholar is included among the top collaborators of Yuichi Hasegawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuichi Hasegawa. Yuichi Hasegawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 54 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 77 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 25 | |
| 17 | 13 | |
| 18 | 12 | |
| 19 | Clinicopathological analyses of 5 Japanese patients with CD56+ primary cutaneous lymphomas. | 19 |
| 20 | Modulation of delayed rectifier potassium currents in rat pineal cells by cytosolic Ca2 | 1 |
About Yuichi Hasegawa
Yuichi Hasegawa is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Chronic Lymphocytic Leukemia Research (11 papers) and CNS Lymphoma Diagnosis and Treatment (11 papers). The work is most often cited by research in Hematology (453 citations), Genetics (245 citations) and Pathology and Forensic Medicine (413 citations). Yuichi Hasegawa has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Toshiro Nagasawa, Hiroshi Kojima, Haruhiko Ninomiya, Shigeru Chiba, Tsukasa Abe, Harumi Y. Mukai, Kazumi Suzukawa, Yasuhisa Yokoyama, Naoki Kurita and H. Kojima. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.