Eri Ejima
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Microbiology top 10%
Papers in
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- Thyroid Disorders and Treatments 3
- Thyroid Cancer Diagnosis and Treatment 3
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- Neuroendocrine Tumor Research Advances 3
- Co-authors
- Katsumi Eguchi (14 shared papers)Toshiro Usa (14 shared papers)Tan Tominaga (14 shared papers)Kiyoto Ashizawa (15 shared papers)Nobuko Sera (13 shared papers)Naokata Yokoyama (8 shared papers)Yasuyo Abe (10 shared papers)Akane Ide (10 shared papers)
- Journals
- Thyroid (4 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Annals of the New York Academy of Sciences (2 papers)Clinical Endocrinology (2 papers)Blood (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Eri Ejima
25 papers receiving 607 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 253
- Microbiology 11
- Immunology 107
- Rheumatology 72
- Genetics 48
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2000 | 64 | |
| 3 | 2000 | 49 | |
| 4 | 1993 | 41 | |
| 5 | 2012 | 38 | |
| 6 | 2000 | 35 | |
| 7 | 1994 | 29 | |
| 8 | 2010 | 29 | |
| 9 | Efficacy of probenecid for a patient with juvenile dermatomyositis complicated with calcinosis. | 2006 | 26 |
| 10 | 2000 | 25 | |
| 11 | 2000 | 20 | |
| 12 | 2001 | 20 | |
| 13 | 2001 | 19 | |
| 14 | 1991 | 16 | |
| 15 | 2003 | 15 | |
| 16 | 2005 | 14 | |
| 17 | 2001 | 13 | |
| 18 | 1998 | 10 | |
| 19 | 2010 | 8 | |
| 20 | 2003 | 6 |
About Eri Ejima
Eri Ejima is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Immunology and Molecular Biology, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Vasculitis and related conditions (3 papers), Vector-Borne Animal Diseases (3 papers), Diabetes and associated disorders (3 papers), Animal Disease Management and Epidemiology (3 papers), T-cell and Retrovirus Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (253 citations), Microbiology (11 citations), Immunology (107 citations), Rheumatology (72 citations) and Genetics (48 citations). Eri Ejima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Katsumi Eguchi, Toshiro Usa, Tan Tominaga, Kiyoto Ashizawa, Nobuko Sera, Naokata Yokoyama, Yasuyo Abe, Akane Ide, Misa Imaizumi and Diane Prager. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Annals of the New York Academy of Sciences, 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.