Eri Ejima
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Microbiology top 10%
Papers in
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- Thyroid Disorders and Treatments 3
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- T-cell and Retrovirus Studies 5
- Co-authors
- Katsumi Eguchi (14 shared papers)Toshiro Usa (14 shared papers)Tan Tominaga (14 shared papers)Kiyoto Ashizawa (15 shared papers)Naokata Yokoyama (8 shared papers)Nobuko Sera (13 shared papers)Diane Prager (4 shared papers)Yasuyo Abe (10 shared papers)
- Journals
- Thyroid (4 papers)Annals of the New York Academy of Sciences (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Clinical Endocrinology (2 papers)Blood (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eri Ejima
27 papers receiving 665 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 232
- Microbiology 11
- Immunology 110
- Agronomy and Crop Science 46
- Rheumatology 62
Countries citing papers authored by Eri Ejima
This map shows the geographic impact of Eri Ejima'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 Eri Ejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Ejima more than expected).
Fields of papers citing papers by Eri Ejima
This network shows the impact of papers produced by Eri Ejima. 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 Eri Ejima. The network helps show where Eri Ejima may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Ejima, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 170 | |
| 2 | 2000 | 73 | |
| 3 | 2000 | 56 | |
| 4 | 1993 | 48 | |
| 5 | 2012 | 41 | |
| 6 | Efficacy of probenecid for a patient with juvenile dermatomyositis complicated with calcinosis. | 2006 | 35 |
| 7 | 2000 | 35 | |
| 8 | 1994 | 32 | |
| 9 | 2010 | 30 | |
| 10 | 2000 | 25 | |
| 11 | 2001 | 24 | |
| 12 | 2000 | 20 | |
| 13 | 2001 | 19 | |
| 14 | 1991 | 16 | |
| 15 | 2005 | 16 | |
| 16 | 2003 | 15 | |
| 17 | 2001 | 13 | |
| 18 | 1998 | 10 | |
| 19 | 2010 | 10 | |
| 20 | 1996 | 8 |
About Eri Ejima
Eri Ejima is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Agronomy and Crop Science, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 28 papers that have together received 717 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), Vasculitis and related conditions (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Thyroid Disorders and Treatments (3 papers), Diabetes and associated disorders (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Microbiology (11 citations), Immunology (110 citations), Agronomy and Crop Science (46 citations) and Rheumatology (62 citations). Eri Ejima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Katsumi Eguchi, Toshiro Usa, Tan Tominaga, Kiyoto Ashizawa, Naokata Yokoyama, Nobuko Sera, Diane Prager, Yasuyo Abe, Akane Ide and Misa Imaizumi. Their work appears in journals such as Thyroid, Annals of the New York Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Blood.
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.