Terumasa Nagase

973 total citations
28 papers, 754 citations indexed

About

Terumasa Nagase is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Neurology. According to data from OpenAlex, Terumasa Nagase has authored 28 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Neurology. Recurrent topics in Terumasa Nagase's work include Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Parathyroid Disorders and Treatments (6 papers) and Alzheimer's disease research and treatments (4 papers). Terumasa Nagase is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Parathyroid Disorders and Treatments (6 papers) and Alzheimer's disease research and treatments (4 papers). Terumasa Nagase collaborates with scholars based in Japan, United States and Norway. Terumasa Nagase's co-authors include Noriko Nagata, Yoshiya Katsura, Masayuki Noritake, Michiko Yamamoto, Takuhiko Akatsu, Keiichi Iwaya, Etsuro Ogata, Akira Aoki, Nobuo Kugai and Seijiro Kado and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Terumasa Nagase

26 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terumasa Nagase Japan 16 297 215 145 137 108 28 754
Kazuya Kawano Japan 16 408 1.4× 231 1.1× 180 1.2× 227 1.7× 52 0.5× 25 934
Adriana Monroy Mexico 14 538 1.8× 318 1.5× 182 1.3× 80 0.6× 47 0.4× 27 984
Y M Li United States 8 210 0.7× 171 0.8× 451 3.1× 50 0.4× 236 2.2× 13 1.1k
Thomas Rousselle United States 16 690 2.3× 188 0.9× 107 0.7× 176 1.3× 56 0.5× 25 1.1k
Punithavathi Ranganathan United States 21 590 2.0× 70 0.3× 54 0.4× 108 0.8× 153 1.4× 25 1.2k
Alessandra Puddu Italy 16 403 1.4× 218 1.0× 244 1.7× 159 1.2× 20 0.2× 38 859
Masumi Hara Japan 22 747 2.5× 283 1.3× 237 1.6× 330 2.4× 51 0.5× 47 1.4k
Shirley Shi Du Yan United States 7 220 0.7× 234 1.1× 271 1.9× 44 0.3× 29 0.3× 7 873
Steffen Daub Germany 14 255 0.9× 282 1.3× 178 1.2× 104 0.8× 61 0.6× 21 953
Munetada Oimomi Japan 17 182 0.6× 185 0.9× 315 2.2× 74 0.5× 65 0.6× 63 827

Countries citing papers authored by Terumasa Nagase

Since Specialization
Citations

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

Fields of papers citing papers by Terumasa Nagase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terumasa Nagase

This figure shows the co-authorship network connecting the top 25 collaborators of Terumasa Nagase. A scholar is included among the top collaborators of Terumasa Nagase 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 Terumasa Nagase. Terumasa Nagase 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.
Nagase, Terumasa, et al.. (2025). Structural analysis of a micron-sized deposit of Cu0 in an insulin ball from a person with diabetes. Communications Medicine. 5(1). 158–158.
2.
Kalra, Sanjay, et al.. (2023). Optimising Insulin Injection Techniques to Improve Diabetes Outcomes. Diabetes Therapy. 14(11). 1785–1799. 7 indexed citations
3.
Nagase, Terumasa, Keiichi Iwaya, Tamotsu Zako, M Kikuchi, & Yoshiya Katsura. (2023). Insulin-derived amyloidosis (insulin ball) and skin-related complications of insulin therapy. Folia Pharmacologica Japonica. 158(2). 173–177.
4.
Nishioka, Hideo, Hisako Sato, Terumasa Nagase, et al.. (2021). Degradation of insulin amyloid by antibiotic minocycline and formation of toxic intermediates. Scientific Reports. 11(1). 6857–6857. 12 indexed citations
6.
Iwaya, Keiichi, Tamotsu Zako, Karin Sörgjerd, et al.. (2019). Toxicity of insulin-derived amyloidosis: a case report. BMC Endocrine Disorders. 19(1). 61–61. 47 indexed citations
8.
Nagase, Terumasa, Keiichi Iwaya, Fumio Kotake, et al.. (2014). Insulin-derived Amyloidosis and Poor Glycemic Control: A Case Series. The American Journal of Medicine. 127(5). 450–454. 91 indexed citations
10.
Nagase, Terumasa, Yoshiya Katsura, Kenji Nemoto, et al.. (2009). The insulin ball. The Lancet. 373(9658). 184–184. 53 indexed citations
11.
Takase, Bonpei, et al.. (2002). Assessment of Diabetic Autonomic Neuropathy using Twenty-Four-Hour Spectral Analysis of Heart Rate Variability. A Comparison with the Findings of the Ewing Battery.: A Comparison with the Findings of the Ewing Battery. International Heart Journal. 43(2). 127–135. 1 indexed citations
12.
Nagase, Terumasa, Takehiko Murakami, Toshihiko Tsukada, et al.. (2002). A Family of Autosomal Dominant Hypocalcemia with a Positive Correlation between Serum Calcium and Magnesium: Identification of a Novel Gain of Function Mutation (Ser820Phe) in the Calcium-Sensing Receptor. The Journal of Clinical Endocrinology & Metabolism. 87(6). 2681–2687. 15 indexed citations
14.
Yamamoto, Michiko, Takuhiko Akatsu, Terumasa Nagase, & Etsuro Ogata. (2000). Comparison of Hypocalcemic Hypercalciuria between Patients with Idiopathic Hypoparathyroidism and Those with Gain-of-Function Mutations in the Calcium-Sensing Receptor: Is It Possible to Differentiate the Two Disorders?. The Journal of Clinical Endocrinology & Metabolism. 85(12). 4583–4591. 61 indexed citations
15.
Matsuo, Hirotaka, Keiko Kamakura, Masaaki Saito, et al.. (1999). Familial Paroxysmal Dystonic Choreoathetosis. Archives of Neurology. 56(6). 721–721. 25 indexed citations
16.
17.
Kado, Seijiro, Takehiko Murakami, Akira Aoki, et al.. (1998). Effect of acarbose on postprandial lipid metabolism in type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 41(1). 49–55. 45 indexed citations
18.
Aoki, Akira, T. Tsukada, Terumasa Nagase, et al.. (1997). Multiple Endocrine Neoplasia Type 1 Presented with Manic-Depressive Disorder: A Case Report with an Identified MEN1 Gene Mutation. Japanese Journal of Clinical Oncology. 27(6). 419–422. 16 indexed citations
19.
Nagase, Terumasa, Akira Aoki, Michiko Yamamoto, et al.. (1997). Lack of Association between the Trp64Arg Mutation in the β3-Adrenergic Receptor Gene and Obesity in Japanese Men: A Longitudinal Analysis. The Journal of Clinical Endocrinology & Metabolism. 82(4). 1284–1287. 55 indexed citations
20.
Nagase, Terumasa, et al.. (1987). Structural determination of d-fructans from Streptococcus mutans, serotype b, c, e, and f strains, by 13C-n.m.r. spectroscopy. Carbohydrate Research. 165(1). 150–154. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026