S Asano
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 24
- Acute Myeloid Leukemia Research 14
- Immunology top 1%
- Immune Response and Inflammation 18
- Immune Cell Function and Interaction 15
- Oncology top 2%
- Neutropenia and Cancer Infections 15
- Biological Psychiatry top 5%
- Genetics top 2%
- Blood disorders and treatments 13
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- Neuropeptides and Animal Physiology 9
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- Adipose Tissue and Metabolism 9
- Co-authors
- Shigekazu NagataNaoki ShirafujiKiyoshi WatariY KaziroH KodoAkio UrabeFumimaro TakakuNaoki Sato
- Cited by
- HematologyImmunologyOncology
- Journals
- Bone Marrow Transplantation (17 papers)Blood (10 papers)Biochemical and Biophysical Research Communications (7 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
S Asano
156 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Hematology 1.4k
- Immunology 1.6k
- Oncology 1.4k
- Biological Psychiatry 103
- Genetics 400
Countries citing papers authored by S Asano
This map shows the geographic impact of S Asano'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 Asano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Asano more than expected).
Fields of papers citing papers by S Asano
This network shows the impact of papers produced by S Asano. 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 Asano. The network helps show where S Asano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S Asano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 13 | |
| 4 | 2014 | 15 | |
| 5 | 2012 | 117 | |
| 6 | 2010 | 19 | |
| 7 | 2008 | 20 | |
| 8 | 2007 | 48 | |
| 9 | 2006 | 20 | |
| 10 | 隔週投与CHOP化学療法併用のrHuG-CSF(レノグラスチム)により治療される侵攻型非ホジキンリンパ腫(NHL)患者における長期追跡調査 | 2001 | 3 |
| 11 | 1999 | 8 | |
| 12 | 1998 | 1 | |
| 13 | 1998 | 8 | |
| 14 | 1997 | 59 | |
| 15 | 1994 | 3 | |
| 16 | 1994 | 6 | |
| 17 | 1993 | 23 | |
| 18 | 1992 | 19 | |
| 19 | 1992 | 7 | |
| 20 | Effects of recombinant human granulocyte colony stimulating factor (rG-CSF) on murine myeloid leukemia: stimulation of proliferation of leukemic cells in vitro and inhibition of development of leukemia in vivo. | 1989 | 10 |
About S Asano
S Asano is a scholar working on Hematology, Immunology, Oncology, Biological Psychiatry and Genetics, having authored 159 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Immune Response and Inflammation (18 papers), Immune Cell Function and Interaction (15 papers), Neutropenia and Cancer Infections (15 papers), Acute Myeloid Leukemia Research (14 papers), Blood disorders and treatments (13 papers), Neuropeptides and Animal Physiology (9 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology (1.6k citations), Oncology (1.4k citations), Biological Psychiatry (103 citations) and Genetics (400 citations). S Asano has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Shigekazu Nagata, Naoki Shirafuji, Kiyoshi Watari, Y Kaziro, H Kodo, Akio Urabe, Fumimaro Takaku, Naoki Sato, Toshitaka Okabe and Yukio Kondo. Their work appears in journals such as Bone Marrow Transplantation, Blood, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and British Journal of Cancer.
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.