Ko Ishikawa
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Pain Mechanisms and Treatments
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 6
-
- Adipose Tissue and Metabolism 4
- Co-authors
- Antonio Vidal‐Puig (3 shared papers)Jaswinder K. Sethi (2 shared papers)Matej Orešič (2 shared papers)Vanessa Núñez (1 shared paper)David Montaner (1 shared paper)Mercedes Ricote (1 shared paper)Xavier Prieur (1 shared paper)Vidya Velagapudi (1 shared paper)
- Journals
- Journal of Diabetes Investigation (4 papers)Hormone and Metabolic Research (3 papers)Diabetes Therapy (2 papers)DNA and Cell Biology (1 paper)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- JapanUnited KingdomSpain
In The Last Decade
Ko Ishikawa
22 papers receiving 681 citations
Peers
Comparison fields: 5 of 85
- Physiology 268
- Epidemiology 277
- Endocrine and Autonomic Systems 36
- Obstetrics and Gynecology 38
- Immunology 104
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 | 307 | |
| 2 | 2010 | 85 | |
| 3 | 2009 | 56 | |
| 4 | 2006 | 34 | |
| 5 | 2004 | 31 | |
| 6 | 2011 | 21 | |
| 7 | 2019 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2011 | 14 | |
| 14 | 1995 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2012 | 3 |
About Ko Ishikawa
Ko Ishikawa is a scholar working on Epidemiology, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 706 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), Gestational Diabetes Research and Management (2 papers), Retinal Diseases and Treatments (2 papers), Diabetes Treatment and Management (2 papers), Cardiovascular Disease and Adiposity (2 papers), Ion Transport and Channel Regulation (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Physiology (268 citations), Epidemiology (277 citations), Endocrine and Autonomic Systems (36 citations), Obstetrics and Gynecology (38 citations) and Immunology (104 citations). Ko Ishikawa has collaborated with scholars based in Japan, United Kingdom and Spain. Frequent co-authors include Antonio Vidal‐Puig, Jaswinder K. Sethi, Matej Orešič, Vanessa Núñez, David Montaner, Mercedes Ricote, Xavier Prieur, Vidya Velagapudi, Lucı́a Fuentes and Alberto Camacho‐Morales. Their work appears in journals such as Journal of Diabetes Investigation, Hormone and Metabolic Research, Diabetes Therapy, DNA and Cell Biology and Diabetes Research and Clinical Practice.
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.