Satsuki Kitano

1.4k citations
37 papers · 1.0k · h-index 16

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
    • Circadian rhythm and melatonin

Papers in

    • 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
    • CRISPR and Genetic Engineering 6
    • Epigenetics and DNA Methylation 5

Satsuki Kitano

37 papers receiving 1.0k citations

Peers

Satsuki Kitano
Comparison fields: 5 of 82
  • Immunology 481
  • Endocrine and Autonomic Systems 88
  • Developmental Neuroscience 36
  • Aging 15
  • Oncology 158
Replace Suzanna G.M. Frints with:
Suzanna G.M. Frints Netherlands
Robert W. Wysocki United States
Anne Camus France
Fabien Guimiot France
Rebecca Haffner‐Krausz Israel
Rosa Montes Spain
Gerson Rothschild United States
Michelle French Canada
Susanne Reinhardt Germany
Annalena Moliner Sweden
Satsuki Kitano relative to Suzanna G.M. Frints Netherlands Suzanna G.M. Frints's profile →
Citations per field
00.5×5.8×
Suzanna G.M. Frints · 1×
Citations per year

Countries citing papers authored by Satsuki Kitano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Satsuki Kitano Line = papers co-authored together Satsuki Kitano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018134
2 2014134
3 2012113
4 201980
5 201271
6 201861
7 201456
8 201238
9 201727
10 201226
11 201824
12 201522
13 202021
14 201520
15 201718
16 201917
17 202015
18 201514
19 202111
20 202311

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 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (12 papers), IL-33, ST2, and ILC Pathways (6 papers), CRISPR and Genetic Engineering (6 papers), Epigenetics and DNA Methylation (5 papers), Immunotherapy and Immune Responses (5 papers), Animal Genetics and Reproduction (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Immunology (481 citations), Endocrine and Autonomic Systems (88 citations), Developmental Neuroscience (36 citations), Aging (15 citations) and Oncology (158 citations). Satsuki Kitano has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hitoshi Miyachi, Koichi Ikuta, Takahiro Hara, Shizue Tani‐ichi, 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.

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