Ko Ishikawa
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Metabolism, Diabetes, and Cancer 6
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Antonio Vidal‐Puig (3 shared papers)Jaswinder K. Sethi (2 shared papers)Matej Orešič (2 shared papers)Joaquı́n Dopazo (1 shared paper)Vanessa Núñez (1 shared paper)David Montaner (1 shared paper)Alberto Camacho‐Morales (1 shared paper)Xavier Prieur (1 shared paper)
In The Last Decade
Ko Ishikawa
21 papers receiving 657 citations
Peers
Comparison fields: 5 of 88
- Physiology 298
- Epidemiology 287
- Endocrine and Autonomic Systems 47
- Endocrinology, Diabetes and Metabolism 98
- Immunology 113
Countries citing papers authored by Ko Ishikawa
This map shows the geographic impact of Ko 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 Ko Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ko Ishikawa more than expected).
Fields of papers citing papers by Ko Ishikawa
This network shows the impact of papers produced by Ko 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 Ko Ishikawa. The network helps show where Ko Ishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ko 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 295 | |
| 2 | 2010 | 82 | |
| 3 | 2009 | 50 | |
| 4 | 2006 | 32 | |
| 5 | 2004 | 31 | |
| 6 | 2011 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2011 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 1995 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2012 | 3 |
About Ko Ishikawa
Ko Ishikawa is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 22 papers that have together received 676 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (6 papers), Diabetes Treatment and Management (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Disease and Adiposity (2 papers), Pregnancy and preeclampsia studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Physiology (298 citations), Epidemiology (287 citations), Endocrine and Autonomic Systems (47 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Immunology (113 citations). Ko Ishikawa has collaborated with scholars based in Japan, Finland and Spain. Frequent co-authors include Antonio Vidal‐Puig, Jaswinder K. Sethi, Matej Orešič, Joaquı́n Dopazo, Vanessa Núñez, David Montaner, Alberto Camacho‐Morales, Xavier Prieur, Vidya Velagapudi and Lucı́a Fuentes. Their work appears in journals such as Journal of Diabetes Investigation, Hormone and Metabolic Research, Diabetes Therapy, Scientific Reports and BMJ Open.
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.