Eri Ejima

869 citations
26 papers · 633 indexed · h-index 15

Eri Ejima

25 papers receiving 607 citations

Peers

Eri Ejima
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 253
  • Microbiology 11
  • Immunology 107
  • Rheumatology 72
  • Genetics 48
Replace Yukiyasu Takeuchi with:
Yukiyasu Takeuchi Japan
Akane Ide Japan
K Takatsuki Japan
C. August Germany
Kuniko Abe Japan
Bálint Nagy Hungary
I McDicken United Kingdom
Marijke Niens Netherlands
Tsuyoshi Kouki Japan
MJ Cline United States
Eri Ejima relative to Yukiyasu Takeuchi Japan Yukiyasu Takeuchi's profile →
Citations per field
00.5×5.1×
Yukiyasu Takeuchi · 1×
Citations per year

Countries citing papers authored by Eri Ejima

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Eri Ejima Line = papers co-authored together Eri Ejima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20151
2 201238
3 201029
4 20108
5
Efficacy of probenecid for a patient with juvenile dermatomyositis complicated with calcinosis.
200626
6 2006144
7 200514
8 20036
9 200315
10 200119
11
Antineutrophil Cytoplasmic Antibody-associated Vasculitis Complicating Graves' Disease: Report of Two Adult Cases
20002
12 200025
13 200064
14 200020
15 200049
16 200035
17 19973
18 199429
19 199341
20 199116

About Eri Ejima

Eri Ejima is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science, Nephrology and Immunology, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Diabetes and associated disorders (3 papers), Animal Disease Management and Epidemiology (3 papers), Vasculitis and related conditions (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Vector-Borne Animal Diseases (3 papers) and Thyroid Disorders and Treatments (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, Kiyoto Ashizawa, Tan Tominaga, Nobuko Sera, Naokata Yokoyama, Yasuyo Abe, Akane Ide, Misa Imaizumi and Joseph D. Rosenblatt. Their work appears in journals such as Thyroid, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Annals of the New York Academy of Sciences 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.

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