Junko Aida
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Surgery 52
- Esophageal Cancer Research and Treatment 23
- Esophageal and GI Pathology 11
- Tissue Engineering and Regenerative Medicine 7
- Physiology 40
- Telomeres, Telomerase, and Senescence 40
- Co-authors
- Kaiyo Takubo (87 shared papers)Tomio Arai (73 shared papers)Motoji Sawabe (26 shared papers)Naoshi Ishikawa (36 shared papers)Kenichi Nakamura (28 shared papers)Yoko Matsuda (27 shared papers)Naotaka Izumiyama‐Shimomura (21 shared papers)Toshiyuki Ishiwata (27 shared papers)
In The Last Decade
Junko Aida
100 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Aging 158
- Physiology 707
- Gastroenterology 133
- Surgery 794
- Cancer Research 255
Countries citing papers authored by Junko Aida
This map shows the geographic impact of Junko Aida'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 Junko Aida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Aida more than expected).
Fields of papers citing papers by Junko Aida
This network shows the impact of papers produced by Junko Aida. 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 Junko Aida. The network helps show where Junko Aida may publish in the future.
Co-authors
The 25 scholars most cited alongside Junko Aida, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 144 | |
| 2 | 2007 | 95 | |
| 3 | 2010 | 80 | |
| 4 | 2018 | 78 | |
| 5 | 2016 | 71 | |
| 6 | 2017 | 58 | |
| 7 | 2012 | 55 | |
| 8 | 2006 | 54 | |
| 9 | 2018 | 53 | |
| 10 | 2009 | 52 | |
| 11 | 2009 | 47 | |
| 12 | 2007 | 46 | |
| 13 | 2008 | 45 | |
| 14 | 2014 | 41 | |
| 15 | 2008 | 39 | |
| 16 | 2010 | 38 | |
| 17 | 2015 | 38 | |
| 18 | 2019 | 36 | |
| 19 | 2004 | 35 | |
| 20 | 2016 | 35 |
About Junko Aida
Junko Aida is a scholar working on Surgery, Physiology, Pulmonary and Respiratory Medicine, Oncology and Molecular Biology, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (40 papers), Esophageal Cancer Research and Treatment (23 papers), Gastric Cancer Management and Outcomes (13 papers), Pancreatic and Hepatic Oncology Research (13 papers), Esophageal and GI Pathology (11 papers), Genetic factors in colorectal cancer (7 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Aging (158 citations), Physiology (707 citations), Gastroenterology (133 citations), Surgery (794 citations) and Cancer Research (255 citations). Junko Aida has collaborated with scholars based in Japan, Canada and Germany. Frequent co-authors include Kaiyo Takubo, Tomio Arai, Motoji Sawabe, Naoshi Ishikawa, Kenichi Nakamura, Yoko Matsuda, Naotaka Izumiyama‐Shimomura, Toshiyuki Ishiwata, Masaaki Matsuura and Mutsunori Fujiwara. Their work appears in journals such as Geriatrics and gerontology international, Human Pathology, Esophagus, Pathology International and Pancreas.
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.