Emi Ishida
Impact in
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- Diabetes Management and Research
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
- Surgery 22
- Pancreatic function and diabetes 10
- Cholesterol and Lipid Metabolism 7
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- Metabolism, Diabetes, and Cancer 9
- Peroxisome Proliferator-Activated Receptors 4
- Co-authors
- Ja Young Kim-Muller (3 shared papers)Domenico Accili (3 shared papers)Makiya Nishikawa (3 shared papers)Mitsuru Hashida (3 shared papers)Jason Fan (2 shared papers)Masatomo Mori (10 shared papers)Koshi Hashimoto (10 shared papers)Yoshinobu Takakura (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Endocrinology (3 papers)Diabetes (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Emi Ishida
46 papers receiving 950 citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 250
- Biomaterials 123
- Genetics 230
- Surgery 351
- Molecular Biology 478
Countries citing papers authored by Emi Ishida
This map shows the geographic impact of Emi Ishida'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 Emi Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Ishida more than expected).
Fields of papers citing papers by Emi Ishida
This network shows the impact of papers produced by Emi Ishida. 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 Emi Ishida. The network helps show where Emi Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Emi Ishida, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2007 | 121 | |
| 3 | 2000 | 111 | |
| 4 | 2016 | 75 | |
| 5 | 2004 | 59 | |
| 6 | 2009 | 55 | |
| 7 | 2017 | 55 | |
| 8 | 2012 | 39 | |
| 9 | 2012 | 37 | |
| 10 | 2007 | 35 | |
| 11 | 2004 | 25 | |
| 12 | 2009 | 24 | |
| 13 | 2008 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2012 | 18 | |
| 16 | 2011 | 16 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 9 |
About Emi Ishida
Emi Ishida is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 49 papers that have together received 957 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Cholesterol and Lipid Metabolism (7 papers), Diet, Metabolism, and Disease (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Thyroid Disorders and Treatments (4 papers), Hormonal Regulation and Hypertension (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (250 citations), Biomaterials (123 citations), Genetics (230 citations), Surgery (351 citations) and Molecular Biology (478 citations). Emi Ishida has collaborated with scholars based in Japan and United States. Frequent co-authors include Ja Young Kim-Muller, Domenico Accili, Makiya Nishikawa, Mitsuru Hashida, Jason Fan, Masatomo Mori, Koshi Hashimoto, Yoshinobu Takakura, Shuichi Okada and Masanobu Yamada. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, Diabetes, PLoS ONE and Scientific Reports.
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.