Ken Yajima
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
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- Pharmacology and Obesity Treatment
Papers in
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- Diabetes Treatment and Management 4
- Diabetes Management and Research 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Takao Saruta (2 shared papers)Toshihide Kawai (3 shared papers)Y. Yamamoto (1 shared paper)Taketo Yamada (1 shared paper)Haruhisa Fujita (1 shared paper)Kiichi Miyashita (1 shared paper)Hiroshi Hirose (2 shared papers)Yoshiko Seto (1 shared paper)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (1 paper)BMC Infectious Diseases (1 paper)The Journal of Dermatology (1 paper)Journal of Diabetes Investigation (1 paper)Endocrine Journal (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ken Yajima
8 papers receiving 135 citations
Peers
Comparison fields: 5 of 50
- Endocrinology, Diabetes and Metabolism 70
- Pharmacology 19
- Physiology 29
- Molecular Biology 65
- Surgery 40
Countries citing papers authored by Ken Yajima
This map shows the geographic impact of Ken Yajima'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 Ken Yajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Yajima more than expected).
Fields of papers citing papers by Ken Yajima
This network shows the impact of papers produced by Ken Yajima. 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 Ken Yajima. The network helps show where Ken Yajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Yajima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 64 | |
| 2 | 2015 | 20 | |
| 3 | 2007 | 13 | |
| 4 | 2004 | 12 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2013 | 4 | |
| 9 | 2009 | 1 | |
| 10 | 2016 | 0 | |
| 11 | 2023 | 0 |
About Ken Yajima
Ken Yajima is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Genetics and Immunology, having authored 11 papers that have together received 142 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Head and Neck Anomalies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (70 citations), Pharmacology (19 citations), Physiology (29 citations), Molecular Biology (65 citations) and Surgery (40 citations). Ken Yajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Takao Saruta, Toshihide Kawai, Y. Yamamoto, Taketo Yamada, Haruhisa Fujita, Kiichi Miyashita, Hiroshi Hirose, Yoshiko Seto, Hiroshi Fujita and Akira Shimada. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, BMC Infectious Diseases, The Journal of Dermatology, Journal of Diabetes Investigation and Endocrine Journal.
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.