S Shirakawa
- Immunology top 1%
- Agronomy and Crop Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Hematology top 1%
- Molecular Biology top 10%
- Co-authors
- Keiko NagataI MiyoshiMichikazu NakaiYorio HinumaTomoko MatsumotoMasao HanaokaHiroto MiwaK Kita
- Topics
- Acute Myeloid Leukemia Research (21 papers)Chronic Lymphocytic Leukemia Research (18 papers)Lymphoma Diagnosis and Treatment (13 papers)
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
S Shirakawa
113 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 2.2k
- Agronomy and Crop Science 1.5k
- Ecology, Evolution, Behavior and Systematics 1.5k
- Hematology 799
- Molecular Biology 708
Countries citing papers authored by S Shirakawa
This map shows the geographic impact of S Shirakawa'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 S Shirakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Shirakawa more than expected).
Fields of papers citing papers by S Shirakawa
This network shows the impact of papers produced by S Shirakawa. 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 S Shirakawa. The network helps show where S Shirakawa may publish in the future.
Co-authorship network of co-authors of S Shirakawa
This figure shows the co-authorship network connecting the top 25 collaborators of S Shirakawa. A scholar is included among the top collaborators of S Shirakawa 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 S Shirakawa. S Shirakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 63 | |
| 5 | 26 | |
| 6 | 40 | |
| 7 | Discordant reaction of Leu4 and rabbit anti-human CD3 epsilon in sinonasal 'T'-cell lymphoma. | 15 |
| 8 | 4 | |
| 9 | 40 | |
| 10 | 15-Deoxyspergualin, an antiproliferative agent for human and mouse leukemia cells shows inhibitory effects on the synthetic pathway of polyamines. | 12 |
| 11 | 17 | |
| 12 | Cat scratch disease: a case report. | 2 |
| 13 | [Nasal lymphoma of natural killer cell origin]. | 4 |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | Factor VIII related antigen in malignant disease: discrepancy between enzyme immunoassay (EIA) and quantitative immunoelectrophoresis. | 5 |
| 18 | [Chemotherapy and disseminated intravascular coagulation in hematopoietic malignancy]. | 2 |
| 19 | Infectious mononucleosis and Epstein-Barr virus in Japan. I. Clinical and serological aspects. | 1 |
| 20 | [Report of a case of plasma cell leukemia with Bence Jones proteinuria without hypergammaglobulinemia: cytological studies with phase contrast and electron microscopes]. | 2 |
About S Shirakawa
S Shirakawa is a scholar working on Hematology, Genetics and Immunology, having authored 118 papers that have together received 3.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Lymphoma Diagnosis and Treatment (13 papers). The work is most often cited by research in Agronomy and Crop Science (1.5k citations), Immunology (2.2k citations) and Ecology, Evolution, Behavior and Systematics (1.5k citations). S Shirakawa has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Keiko Nagata, I Miyoshi, Michikazu Nakai, Yorio Hinuma, Tomoko Matsumoto, Masao Hanaoka, Hiroto Miwa, K Kita, Kazunori Nakase and Masakatsu Nishikawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.