Jin Ando
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Physiology top 10%
Papers in
- Co-authors
- Satoshi Waguri (4 shared papers)Okio Hino (2 shared papers)Sumio Watanabe (2 shared papers)Ayako Sakamoto (2 shared papers)Myung‐Shik Lee (2 shared papers)Keiji Tanaka (2 shared papers)Yoshihiro Inami (2 shared papers)Masaaki Komatsu (2 shared papers)
- Journals
- Cancer Letters (4 papers)Toxicology Letters (2 papers)The Journal of Cell Biology (1 paper)Food and Chemical Toxicology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Jin Ando
23 papers receiving 821 citations
Jin Ando's Hit Papers
Peers
Comparison fields: 5 of 80
- Epidemiology 320
- Physiology 42
- Geriatrics and Gerontology 28
- Cancer Research 116
- Cell Biology 112
Countries citing papers authored by Jin Ando
This map shows the geographic impact of Jin Ando'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 Jin Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ando more than expected).
Fields of papers citing papers by Jin Ando
This network shows the impact of papers produced by Jin Ando. 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 Jin Ando. The network helps show where Jin Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Ando, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Persistent activation of Nrf2 through p62 in hepatocellular carcinoma cells Hit paper breakdown → | 2011 | 513 |
| 2 | A matrix attachment region (MAR)-binding activity due to a p114 kilodalton protein is found only in human breast carcinomas and not in normal and benign breast disease tissues. | 1996 | 53 |
| 3 | 2000 | 35 | |
| 4 | 1999 | 32 | |
| 5 | 1999 | 26 | |
| 6 | 1999 | 24 | |
| 7 | 2017 | 19 | |
| 8 | 2011 | 17 | |
| 9 | Schedule-dependent synergism and antagonism between paclitaxel and methotrexate in human carcinoma cell lines. | 1998 | 15 |
| 10 | 2002 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 1997 | 12 | |
| 13 | 1998 | 12 | |
| 14 | 2016 | 10 | |
| 15 | 1997 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2001 | 8 | |
| 18 | 2004 | 5 | |
| 19 | 1999 | 3 | |
| 20 | [Myeloid-derived suppressor cells in patients with breast cancer]. | 2012 | 3 |
About Jin Ando
Jin Ando is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Obstetrics and Gynecology, having authored 23 papers that have together received 836 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Reproductive System and Pregnancy (3 papers), S100 Proteins and Annexins (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cancer Treatment and Pharmacology (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Epidemiology (320 citations), Physiology (42 citations), Geriatrics and Gerontology (28 citations), Cancer Research (116 citations) and Cell Biology (112 citations). Jin Ando has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Satoshi Waguri, Okio Hino, Sumio Watanabe, Ayako Sakamoto, Myung‐Shik Lee, Keiji Tanaka, Yoshihiro Inami, Masaaki Komatsu, Manabu Iwadate and Masayuki Yamamoto. Their work appears in journals such as Cancer Letters, Toxicology Letters, The Journal of Cell Biology, Food and Chemical Toxicology and The Journal of Experimental 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.