Satsuki Kitano
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune cells in cancer
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Immunology 17
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 12
- IL-33, ST2, and ILC Pathways 6
- Immunotherapy and Immune Responses 5
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- CRISPR and Genetic Engineering 6
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 3
- Co-authors
- Hitoshi Miyachi (37 shared papers)Koichi Ikuta (15 shared papers)Shizue Tani‐ichi (13 shared papers)Takahiro Hara (10 shared papers)Keisuke Wagatsuma (5 shared papers)Guangwei Cui (9 shared papers)Kumiko Imai (2 shared papers)Akihiro Shimba (8 shared papers)
- Journals
- The Journal of Immunology (10 papers)Scientific Reports (4 papers)Neuroscience Research (3 papers)Nature Communications (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Satsuki Kitano
37 papers receiving 985 citations
Peers
Comparison fields: 5 of 83
- Immunology 492
- Endocrine and Autonomic Systems 84
- Developmental Neuroscience 37
- Aging 15
- Oncology 169
Countries citing papers authored by Satsuki Kitano
This map shows the geographic impact of Satsuki Kitano'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 Satsuki Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satsuki Kitano more than expected).
Fields of papers citing papers by Satsuki Kitano
This network shows the impact of papers produced by Satsuki Kitano. 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 Satsuki Kitano. The network helps show where Satsuki Kitano may publish in the future.
Co-authors
The 25 scholars most cited alongside Satsuki Kitano, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2018 | 128 | |
| 3 | 2012 | 111 | |
| 4 | 2019 | 80 | |
| 5 | 2012 | 71 | |
| 6 | 2018 | 60 | |
| 7 | 2014 | 56 | |
| 8 | 2012 | 38 | |
| 9 | 2017 | 27 | |
| 10 | 2012 | 26 | |
| 11 | 2018 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2015 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 10 |
About Satsuki Kitano
Satsuki Kitano is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Surgery, having authored 37 papers that have together received 990 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (12 papers), CRISPR and Genetic Engineering (6 papers), IL-33, ST2, and ILC Pathways (6 papers), Epigenetics and DNA Methylation (5 papers), Immunotherapy and Immune Responses (5 papers), Animal Genetics and Reproduction (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Immunology (492 citations), Endocrine and Autonomic Systems (84 citations), Developmental Neuroscience (37 citations), Aging (15 citations) and Oncology (169 citations). Satsuki Kitano has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Hitoshi Miyachi, Koichi Ikuta, Shizue Tani‐ichi, Takahiro Hara, Keisuke Wagatsuma, Guangwei Cui, Kumiko Imai, Akihiro Shimba, Masaru Ishii and Hisayuki Yao. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Neuroscience Research, Nature Communications and Stem Cell Reports.
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.