Shuhei Morita

1.9k total citations
68 papers, 890 citations indexed

About

Shuhei Morita is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, Shuhei Morita has authored 68 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 20 papers in Surgery and 16 papers in Neurology. Recurrent topics in Shuhei Morita's work include Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (8 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). Shuhei Morita is often cited by papers focused on Pancreatic function and diabetes (13 papers), Diabetes and associated disorders (8 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). Shuhei Morita collaborates with scholars based in Japan, United States and Iraq. Shuhei Morita's co-authors include Tomoyoshi Kondo, Hideto Miwa, Takashi Akamizu, Hiroyuki Ariyasu, Hiroshi Iwakura, Ken Takeshima, Hidefumi Inaba, Shinsuke Uraki, Hiroto Furuta and Masahiro Nishi and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Shuhei Morita

59 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuhei Morita Japan 16 254 216 198 181 154 68 890
Guida Maria Portela‐Gomes Sweden 23 288 1.1× 338 1.6× 376 1.9× 490 2.7× 236 1.5× 53 1.3k
Caroline Sevin France 20 114 0.4× 358 1.7× 163 0.8× 202 1.1× 61 0.4× 54 1.4k
Toru Sugiyama Japan 20 65 0.3× 402 1.9× 338 1.7× 190 1.0× 76 0.5× 46 1.2k
Xuanchun Wang China 20 68 0.3× 182 0.8× 133 0.7× 276 1.5× 65 0.4× 51 918
Irina Mikolaenko United States 12 199 0.8× 75 0.3× 103 0.5× 118 0.7× 280 1.8× 27 1.4k
Seon‐Hwan Kim South Korea 17 263 1.0× 111 0.5× 243 1.2× 302 1.7× 49 0.3× 69 948
Gail J. Mick United States 12 118 0.5× 324 1.5× 222 1.1× 198 1.1× 53 0.3× 45 1.1k
P. M. van Koetsveld Netherlands 22 234 0.9× 618 2.9× 277 1.4× 518 2.9× 276 1.8× 41 1.2k
Monte A. Del Monte United States 25 99 0.4× 68 0.3× 151 0.8× 310 1.7× 39 0.3× 69 1.4k
Ivan Presta Italy 19 55 0.2× 225 1.0× 86 0.4× 126 0.7× 125 0.8× 43 913

Countries citing papers authored by Shuhei Morita

Since Specialization
Citations

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

Fields of papers citing papers by Shuhei Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhei Morita

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhei Morita. A scholar is included among the top collaborators of Shuhei Morita 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 Shuhei Morita. Shuhei Morita 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.
Morita, Shuhei, et al.. (2025). Exploring genetic risk factors for β-cell deterioration in type 2 diabetes mellitus: Insights from longitudinal C-peptide analysis. Diabetes Research and Clinical Practice. 222. 112049–112049.
2.
Nakao, Tomomi, Ken Takeshima, Shuhei Morita, et al.. (2025). Tumor-Induced Osteomalacia Localized by Systemic Venous Sampling and 68Ga-DOTATOC Positron Emission Tomography. JCEM Case Reports. 3(2). luaf012–luaf012.
3.
Ueda, Yôko, Hiroshi Iwakura, Asako Doi, et al.. (2025). Tryptophan‐sensing receptor GPR142 expression levels are directly regulated by proinflammatory cytokines in ghrelin‐producing cells. FEBS Open Bio. 15(5). 763–772.
4.
Morita, Shuhei, et al.. (2025). Severe obesity with hypo-leptinemia. Endocrine Journal. 72(7). 801–811.
5.
Inaba, Hidefumi, Shuhei Morita, Gen Inoue, et al.. (2023). Amino acid polymorphisms in human histocompatibility leukocyte antigen class II and proinsulin epitope have impacts on type 1 diabetes mellitus induced by immune-checkpoint inhibitors. Frontiers in Immunology. 14. 1165004–1165004. 8 indexed citations
6.
Morita, Shuhei, Shinsuke Uraki, Ken Takeshima, et al.. (2022). Isolated ACTH deficiency following immunization with the BNT162b2 SARS-CoV-2 vaccine: a case report. BMC Endocrine Disorders. 22(1). 185–185. 27 indexed citations
7.
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Inaba, Hidefumi, Hiroyuki Ariyasu, Hiroshi Iwakura, et al.. (2020). Autoimmune polyglandular syndrome type 2 and autoimmune hepatitis with thymoma-associated myasthenia gravis: case report. BMC Endocrine Disorders. 20(1). 6 indexed citations
9.
Inaba, Hidefumi, Hiroyuki Ariyasu, Hiroshi Iwakura, et al.. (2020). Predictive and sensitive biomarkers for thyroid dysfunctions during treatment with immune‐checkpoint inhibitors. Cancer Science. 111(5). 1468–1477. 109 indexed citations
10.
Uraki, Shinsuke, Hiroyuki Ariyasu, Asako Doi, et al.. (2020). MSH6/2 and PD-L1 Expressions Are Associated with Tumor Growth and Invasiveness in Silent Pituitary Adenoma Subtypes. International Journal of Molecular Sciences. 21(8). 2831–2831. 28 indexed citations
11.
Takeshima, Ken, Masahiro Nishi, Hiroyuki Ariyasu, et al.. (2020). The influence of thyroid autoimmunity on pregnancy outcome in infertile women: a prospective study. Endocrine Journal. 67(8). 859–868. 13 indexed citations
12.
Inaba, Hidefumi, Hiroyuki Ariyasu, Hiroshi Iwakura, et al.. (2019). Comparative analysis of human leucocyte antigen between idiopathic and anti‐PD‐1 antibody induced isolated adrenocorticotropic hormone deficiency: A pilot study. Clinical Endocrinology. 91(6). 786–792. 23 indexed citations
13.
Uraki, Shinsuke, Hiroto Furuta, Masakazu Miyawaki, et al.. (2019). Neonatal diabetes caused by the heterozygous Pro1198Leu mutation in the ABCC8 gene in a male infant: 6‐year clinical course. Journal of Diabetes Investigation. 11(2). 502–505. 3 indexed citations
14.
Shimajiri, Yoshinori, et al.. (2013). Kir6.2 E23K polymorphism is related to secondary failure of sulfonylureas in non‐obese patients with type 2 diabetes. Journal of Diabetes Investigation. 4(5). 445–449. 9 indexed citations
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Shimajiri, Yoshinori, Shuhei Morita, Machi Furuta, et al.. (2009). Chronic Kidney Disease Has a More Powerful Impact on Peripheral Arterial Disease Than Metabolic Syndrome in Japanese Type 2 Diabetic Patients. Metabolic Syndrome and Related Disorders. 7(4). 323–326. 7 indexed citations
19.
Morita, Shuhei, Hideto Miwa, & Tomoyoshi Kondo. (2005). Effect of zonisamide on essential tremor: a pilot crossover study in comparison with arotinolol. Parkinsonism & Related Disorders. 11(2). 101–103. 45 indexed citations
20.
Morita, Shuhei, et al.. (2003). [Three patients with Parkinson's disease whose therapeutic levels were successfully improved after administration of quetiapine for suppression of psychosis].. PubMed. 55(5). 413–7. 2 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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