Atsushi Notoya
- Immunology
- Pathology and Forensic Medicine top 10%
- Hematology top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Masaya MukaiMichifumi KohnoK KawaKazuo OshimiJunji SuzumiyaHisashi GondoRitsuro SuzukiHiroyasu Mori
- Topics
- Acute Myeloid Leukemia Research (5 papers)Hematopoietic Stem Cell Transplantation (5 papers)Vasculitis and related conditions (4 papers)
- Partner nations
- Japan
In The Last Decade
Atsushi Notoya
27 papers receiving 472 citations
Peers
Comparison fields: 5 of 46
- Immunology 187
- Pathology and Forensic Medicine 170
- Hematology 140
- Oncology 131
- Genetics 92
Countries citing papers authored by Atsushi Notoya
This map shows the geographic impact of Atsushi Notoya'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 Atsushi Notoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Notoya more than expected).
Fields of papers citing papers by Atsushi Notoya
This network shows the impact of papers produced by Atsushi Notoya. 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 Atsushi Notoya. The network helps show where Atsushi Notoya may publish in the future.
Co-authorship network of co-authors of Atsushi Notoya
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Notoya. A scholar is included among the top collaborators of Atsushi Notoya 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 Atsushi Notoya. Atsushi Notoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pyoderma gangrenosum complicated with myelodysplastic syndrome followed by rapidly progressing pyothorax-associated lymphoma: a case report. | 3 |
| 2 | 10 | |
| 3 | 167 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | [Perforation of small intestinal during hematologic recovery in an elderly man after induction therapy for acute lymphoblastic leukemia L3]. | 1 |
| 11 | [Two cases of classical polyarteritis nodosa associated with a low titre of MPO-ANCA]. | 3 |
| 12 | 27 | |
| 13 | 6 | |
| 14 | Study on the mechanism of bleeding in acquired von Willebrand syndrome | 1 |
| 15 | 31 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 45 | |
| 20 | [Chronic cold agglutinin disease accompanied with an increase of CD20+/CD5+ cells; a case report]. | 1 |
About Atsushi Notoya
Atsushi Notoya is a scholar working on Hematology, Genetics and Immunology, having authored 28 papers that have together received 484 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Vasculitis and related conditions (4 papers). The work is most often cited by research in Hematology (140 citations), Pathology and Forensic Medicine (170 citations) and Immunology (187 citations). Atsushi Notoya has collaborated with scholars based in Japan. Frequent co-authors include Masaya Mukai, Michifumi Kohno, K Kawa, Kazuo Oshimi, Junji Suzumiya, Hisashi Gondo, Ritsuro Suzuki, Hiroyasu Mori, Shôji Nakamura and Shigehisa Aoki. Their work appears in journals such as Blood, British Journal of Haematology and Leukemia.
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.