Yohei Ueda

565 total citations
35 papers, 370 citations indexed

About

Yohei Ueda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Oncology. According to data from OpenAlex, Yohei Ueda has authored 35 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Yohei Ueda's work include Thyroid Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Hormonal Regulation and Hypertension (5 papers). Yohei Ueda is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Hormonal Regulation and Hypertension (5 papers). Yohei Ueda collaborates with scholars based in Japan, United States and Australia. Yohei Ueda's co-authors include Nobuya Inagaki, Toshihito Fujii, Ichiro Yamauchi, Akihiro Yasoda, Keisho Hirota, Yugo Kanai, Eri Kondo, Yui Yamashita, Daisuke Taura and Masakatsu Sone and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yohei Ueda

31 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Ueda Japan 10 142 105 83 82 55 35 370
Yui Yamashita Japan 9 125 0.9× 79 0.8× 79 1.0× 67 0.8× 54 1.0× 16 328
Yugo Kanai Japan 12 125 0.9× 106 1.0× 78 0.9× 138 1.7× 77 1.4× 21 444
Ichiro Yamauchi Japan 10 241 1.7× 106 1.0× 130 1.6× 75 0.9× 51 0.9× 34 442
T. Musella Italy 10 87 0.6× 169 1.6× 56 0.7× 89 1.1× 63 1.1× 14 388
Akira Sata Japan 11 42 0.3× 254 2.4× 71 0.9× 93 1.1× 27 0.5× 18 400
Krzysztof Kołomecki Poland 13 63 0.4× 120 1.1× 46 0.6× 99 1.2× 35 0.6× 43 439
F. Illouz France 15 143 1.0× 354 3.4× 127 1.5× 85 1.0× 16 0.3× 41 615
Matthew J. Horne United States 5 63 0.4× 310 3.0× 34 0.4× 71 0.9× 20 0.4× 6 457
Jean Louis Kraimps France 9 77 0.5× 137 1.3× 120 1.4× 50 0.6× 29 0.5× 14 488
Zhengju Fu China 10 73 0.5× 78 0.7× 77 0.9× 158 1.9× 10 0.2× 14 414

Countries citing papers authored by Yohei Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Ueda. A scholar is included among the top collaborators of Yohei Ueda 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 Yohei Ueda. Yohei Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ichimura, Atsuhiko, Jianhong Li, Haruki Ishikawa, et al.. (2025). Phosphodiesterase 3 inhibitors boost bone outgrowth. British Journal of Pharmacology. 182(18). 4327–4342.
2.
Okamoto, Kentaro, Masakatsu Sone, Daisuke Taura, et al.. (2025). The Significance of High Expression of Circulating miR-222-3p in Patients With Unilateral Primary Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 111(2). e420–e430.
3.
Ueda, Yohei, Takafumi Yamashita, Ichiro Yamauchi, et al.. (2024). Neprilysin Inhibition Promotes Skeletal Growth via the CNP/NPR-B Pathway. Endocrinology. 165(7). 4 indexed citations
4.
5.
Yamauchi, Ichiro, Kentaro Okamoto, Yohei Ueda, et al.. (2024). High-throughput Screening for Cushing Disease: Therapeutic Potential of Thiostrepton via Cell Cycle Regulation. Endocrinology. 165(9).
6.
Yamauchi, Ichiro, Yohei Ueda, Shoji F. Nakayama, et al.. (2023). TRIAC disrupts cerebral thyroid hormone action via negative feedback and heterogenous distribution among organs. iScience. 26(7). 107135–107135. 2 indexed citations
7.
Yamauchi, Ichiro, Yukiko Okuno, Kentaro Okamoto, et al.. (2022). High-throughput Screening in Combination With a Cohort Study for Iodothyronine Deiodinases. Endocrinology. 163(8). 5 indexed citations
8.
Ichimura, Atsuhiko, Naoki Okamoto, Feng Liu, et al.. (2022). C-type natriuretic peptide facilitates autonomic Ca²⁺ entry in growth plate chondrocytes for stimulating bone growth. Kyoto University Research Information Repository (Kyoto University). 15 indexed citations
9.
Nakao, Kazumasa, Ichiro Yamauchi, Takafumi Yamashita, et al.. (2022). Circulatory C-type natriuretic peptide reduces mucopolysaccharidosis-associated craniofacial hypoplasia in vivo. PLoS ONE. 17(11). e0277140–e0277140. 2 indexed citations
10.
Nakao, Kazumasa, Ichiro Yamauchi, Takafumi Yamashita, et al.. (2022). Effect of C-type natriuretic peptide on craniofacial skeletogenesis in mice during the pubertal growth spurt. Archives of Oral Biology. 139. 105433–105433.
11.
Yamauchi, Ichiro, Takafumi Yamashita, Tetsuya Tagami, et al.. (2021). Bezafibrate induces hypothyroidism in a patient with resistance to thyroid hormone β due to a G347R variant. Clinical Endocrinology. 96(2). 236–245. 2 indexed citations
12.
Yamauchi, Ichiro, Daisuke Taura, Kentaro Okamoto, et al.. (2020). Clinical features and thyroid dysfunction in adverse events involving the pituitary gland during PD‐1 blockade therapy. Clinical Endocrinology. 94(2). 258–268. 13 indexed citations
13.
Ueda, Yohei, Keisho Hirota, Ichiro Yamauchi, et al.. (2020). Is C-type natriuretic peptide regulated by a feedback loop? A study on systemic and local autoregulatory effect. PLoS ONE. 15(10). e0240023–e0240023. 6 indexed citations
14.
Furuya, Mayumi, Toshihito Fujii, Keisho Hirota, et al.. (2019). Foramen magnum stenosis and midface hypoplasia in C-type natriuretic peptide-deficient rats and restoration by the administration of human C-type natriuretic peptide with 53 amino acids. PLoS ONE. 14(5). e0216340–e0216340. 5 indexed citations
15.
Ueda, Yohei, Akihiro Yasoda, Keisho Hirota, et al.. (2019). Exogenous C-type natriuretic peptide therapy for impaired skeletal growth in a murine model of glucocorticoid treatment. Scientific Reports. 9(1). 8547–8547. 12 indexed citations
16.
Yamauchi, Ichiro, Toshihito Fujii, Daisuke Taura, et al.. (2017). Clinical Features of Nivolumab-Induced Thyroiditis: A Case Series Study. Thyroid. 27(7). 894–901. 118 indexed citations
17.
Yamauchi, Ichiro, Takafumi Yamashita, Keisho Hirota, et al.. (2017). Effects of growth hormone on thyroid function are mediated by type 2 iodothyronine deiodinase in humans. Endocrine. 59(2). 353–363. 31 indexed citations
18.
Yamanaka, S., Kazumasa Nakao, Noriaki Koyama, et al.. (2017). Circulatory CNP Rescues Craniofacial Hypoplasia in Achondroplasia. Journal of Dental Research. 96(13). 1526–1534. 15 indexed citations
19.
Tagami, Tetsuya, Mika Tsuiki, Yohei Ueda, et al.. (2016). Specific Symptoms of Thyrotoxicosis in Japanese Patients: A Reevaluation of Classical Symptoms in Modern Thyroid Function Tests. Journal of General and Family Medicine. 17(3). 225–231. 1 indexed citations
20.
Gotoh, Noriko, et al.. (2008). Lysyl Oxidase-like 1 Polymorphisms and Exfoliation Syndrome in the Japanese Population. American Journal of Ophthalmology. 145(3). 582–585.e2. 1 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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