Emi Ogata

577 total citations
8 papers, 353 citations indexed

About

Emi Ogata is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Nephrology. According to data from OpenAlex, Emi Ogata has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 1 paper in Nephrology. Recurrent topics in Emi Ogata's work include Hormonal Regulation and Hypertension (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Erythropoietin and Anemia Treatment (1 paper). Emi Ogata is often cited by papers focused on Hormonal Regulation and Hypertension (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Erythropoietin and Anemia Treatment (1 paper). Emi Ogata collaborates with scholars based in Japan. Emi Ogata's co-authors include Makoto Tamura, H Kawaguchi, Yoshiyuki Hiyama, K. Hanada, T. Kurokawa, Tadashi Matsumoto, Toshio Matsumoto, Hiroyuki Hirai, Tsuyoshi Watanabe and Masayoshi Kumegawa and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Endocrinology.

In The Last Decade

Emi Ogata

8 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emi Ogata Japan 6 156 74 68 66 61 8 353
H Kawaguchi Japan 5 146 0.9× 74 1.0× 70 1.0× 71 1.1× 57 0.9× 11 328
Jung-Woo Kim South Korea 14 213 1.4× 28 0.4× 92 1.4× 78 1.2× 45 0.7× 36 488
Hai Thanh Pham Japan 14 217 1.4× 32 0.4× 83 1.2× 74 1.1× 36 0.6× 23 526
Duenpim Parisuthiman United States 7 184 1.2× 75 1.0× 65 1.0× 47 0.7× 53 0.9× 9 371
Ibrahim Zakhary United States 13 62 0.4× 44 0.6× 41 0.6× 50 0.8× 91 1.5× 22 339
Taylor Wearda United States 9 104 0.7× 23 0.3× 41 0.6× 96 1.5× 43 0.7× 13 397
Shuangyan Yang China 15 360 2.3× 30 0.4× 34 0.5× 53 0.8× 50 0.8× 23 649
María Rosa Arnau Spain 13 147 0.9× 45 0.6× 53 0.8× 78 1.2× 31 0.5× 18 403
Nanarao Krothapalli United States 4 268 1.7× 52 0.7× 23 0.3× 50 0.8× 91 1.5× 5 580
Natalia Artigas Spain 8 227 1.5× 26 0.4× 97 1.4× 40 0.6× 71 1.2× 8 386

Countries citing papers authored by Emi Ogata

Since Specialization
Citations

This map shows the geographic impact of Emi Ogata'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 Ogata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Ogata more than expected).

Fields of papers citing papers by Emi Ogata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emi Ogata. 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 Ogata. The network helps show where Emi Ogata may publish in the future.

Co-authorship network of co-authors of Emi Ogata

This figure shows the co-authorship network connecting the top 25 collaborators of Emi Ogata. A scholar is included among the top collaborators of Emi Ogata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emi Ogata. Emi Ogata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Okamoto, Shiki, Masato Yonamine, Emi Ogata, et al.. (2019). Metabolically and immunologically beneficial impact of extra virgin olive and flaxseed oils on composition of gut microbiota in mice. European Journal of Nutrition. 59(6). 2411–2425. 29 indexed citations
2.
Ogata, Emi, Koichi Asahi, Satoshi Yamaguchi, et al.. (2018). Low fasting plasma glucose level as a predictor of new-onset diabetes mellitus on a large cohort from a Japanese general population. Scientific Reports. 8(1). 13927–13927. 11 indexed citations
3.
Hirai, Hiroyuki, Emi Ogata, Nobuyuki Kikuchi, et al.. (2016). The effects of liraglutide on both hypereosinophilic insulin allergy and the characteristics of anti-insulin antibodies in type 2 diabetes mellitus: a case report. Journal of Medical Case Reports. 10(1). 202–202. 10 indexed citations
4.
Hirai, Hiroyuki, Emi Ogata, Shinji Ohki, et al.. (2016). Hypoglycemia Associated with a Gastrointestinal Stromal Tumor Producing High-molecular-weight Insulin Growth Factor II: A Case Report and Literature Review. Internal Medicine. 55(10). 1309–1314. 9 indexed citations
5.
Takahashi, Shizuko, Toshio Kosaka, Masaya Hattori, et al.. (2009). Cancer-related anemia: Correlation analysis among serum levels of hemoglobin, IL-6, hepcidin, albumin, and erythropoietin. Journal of Clinical Oncology. 27(15_suppl). e20655–e20655. 1 indexed citations
6.
Kawaguchi, H, T. Kurokawa, K. Hanada, et al.. (1994). Stimulation of fracture repair by recombinant human basic fibroblast growth factor in normal and streptozotocin-diabetic rats.. Endocrinology. 135(2). 774–781. 273 indexed citations
7.
Matsumoto, Toshio, et al.. (1992). Effect of 24,25-Dihydroxyvitamin D3 in Osteoclasts. Experimental Biology and Medicine. 200(2). 161–164. 16 indexed citations
8.
Su, K. W., T Matsumoto, Hiroo Takahashi, Masako Yamamoto, & Emi Ogata. (1988). Interaction of calcitonin with vitamin D and prostaglandin E2 on renal tubular reabsorption of calcium in thyroparathyroidectomized rats.. PubMed. 14(4). 229–34. 4 indexed citations

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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