Chieko Ishikawa
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
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- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Fungal Infections and Studies 2
- Co-authors
- Kimihito Arai (2 shared papers)Ayako Kojima (2 shared papers)Yasumasa Yoshiyama (2 shared papers)Kazushi Asano (7 shared papers)Mamiko Seki (4 shared papers)Kazuya EDAMURA (4 shared papers)Kenji TESHIMA (3 shared papers)Yumiko Kagawa (4 shared papers)
- Journals
- Journal of Small Animal Practice (5 papers)American Journal of Veterinary Research (3 papers)BMC Veterinary Research (2 papers)Journal of the American Veterinary Medical Association (2 papers)Journal of Veterinary Internal Medicine (2 papers)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Chieko Ishikawa
33 papers receiving 385 citations
Peers
Comparison fields: 5 of 81
- Neurology 48
- Hepatology 35
- Endocrine and Autonomic Systems 28
- Small Animals 28
- Physiology 86
Countries citing papers authored by Chieko Ishikawa
This map shows the geographic impact of Chieko Ishikawa'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 Chieko Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieko Ishikawa more than expected).
Fields of papers citing papers by Chieko Ishikawa
This network shows the impact of papers produced by Chieko Ishikawa. 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 Chieko Ishikawa. The network helps show where Chieko Ishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Chieko Ishikawa, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 117 | |
| 2 | 2013 | 58 | |
| 3 | 2014 | 41 | |
| 4 | 2016 | 24 | |
| 5 | 2005 | 20 | |
| 6 | 2017 | 16 | |
| 7 | 2009 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2007 | 14 | |
| 10 | 2010 | 10 | |
| 11 | 2020 | 7 | |
| 12 | 2018 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2010 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2004 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 1991 | 3 |
About Chieko Ishikawa
Chieko Ishikawa is a scholar working on Epidemiology, Physiology, Hepatology, Surgery and Small Animals, having authored 39 papers that have together received 390 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Veterinary Oncology Research (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Spinal Dysraphism and Malformations (3 papers), Antifungal resistance and susceptibility (3 papers), MRI in cancer diagnosis (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Neurology (48 citations), Hepatology (35 citations), Endocrine and Autonomic Systems (28 citations), Small Animals (28 citations) and Physiology (86 citations). Chieko Ishikawa has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kimihito Arai, Ayako Kojima, Yasumasa Yoshiyama, Kazushi Asano, Mamiko Seki, Kazuya EDAMURA, Kenji TESHIMA, Yumiko Kagawa, Kenji Kutara and Daisuke Ito. Their work appears in journals such as Journal of Small Animal Practice, American Journal of Veterinary Research, BMC Veterinary Research, Journal of the American Veterinary Medical Association and Journal of Veterinary Internal 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.