Akiko Sano
- Physiology top 10%
- Asthma and respiratory diseases 13
- Telomeres, Telomerase, and Senescence 4
- Immunology and Allergy top 10%
- Genetics top 10%
- Animal Genetics and Reproduction 19
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
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- CRISPR and Genetic Engineering 14
- Viral Infectious Diseases and Gene Expression in Insects 5
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- Chronic Obstructive Pulmonary Disease (COPD) Research 9
- Respiratory and Cough-Related Research 4
- Co-authors
- N. M. MuñozAlan R. LeffHiroyuki SanoTakashi HarumiXiangdong ZhuYuko MatsubaraYuji TohdaEvan Boetticher
- Journals
- The Journal of Immunology (2 papers)PLoS ONE (3 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akiko Sano
71 papers receiving 986 citations
Peers
Comparison fields: 5 of 116
- Physiology 270
- Immunology and Allergy 59
- Genetics 242
- Cancer Research 110
- Molecular Biology 469
Countries citing papers authored by Akiko Sano
This map shows the geographic impact of Akiko Sano'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 Akiko Sano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Sano more than expected).
Fields of papers citing papers by Akiko Sano
This network shows the impact of papers produced by Akiko Sano. 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 Akiko Sano. The network helps show where Akiko Sano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Sano, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 3 | |
| 5 | 2018 | 10 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 40 | |
| 9 | 2011 | 21 | |
| 10 | 2008 | 17 | |
| 11 | 2008 | 26 | |
| 12 | 2004 | 25 | |
| 13 | 2004 | 5 | |
| 14 | 2003 | 56 | |
| 15 | 2003 | 11 | |
| 16 | 2002 | 13 | |
| 17 | 2001 | 47 | |
| 18 | 2001 | 33 | |
| 19 | 1999 | 25 | |
| 20 | 1999 | 6 |
About Akiko Sano
Akiko Sano is a scholar working on Immunology and Allergy, Genetics and Physiology, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (19 papers), CRISPR and Genetic Engineering (14 papers), Asthma and respiratory diseases (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Respiratory and Cough-Related Research (4 papers). The work is most often cited by research in Physiology (270 citations), Immunology and Allergy (59 citations) and Genetics (242 citations). Akiko Sano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include N. M. Muñoz, Alan R. Leff, Hiroyuki Sano, Takashi Harumi, Xiangdong Zhu, Yuko Matsubara, Yuji Tohda, Evan Boetticher, Junichi Hasegawa and Goshi Shiota. Their work appears in journals such as The Journal of Immunology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.
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.