Atsushi Suzuki

8.1k total citations
145 papers, 2.7k citations indexed

About

Atsushi Suzuki is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Atsushi Suzuki has authored 145 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Surgery and 32 papers in Molecular Biology. Recurrent topics in Atsushi Suzuki's work include Bone health and osteoporosis research (15 papers), Bone health and treatments (13 papers) and Pancreatic function and diabetes (13 papers). Atsushi Suzuki is often cited by papers focused on Bone health and osteoporosis research (15 papers), Bone health and treatments (13 papers) and Pancreatic function and diabetes (13 papers). Atsushi Suzuki collaborates with scholars based in Japan, Switzerland and United States. Atsushi Suzuki's co-authors include Mitsuyasu Itoh, Hiroyuki Fukuda, Nobuki Hayakawa, Yasunaga Ono, Osamu Isozaki, Naohisa Oda, Tetsurou Satoh, Tadao Iburi, Hajime Otani and Takashi Akamizu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Atsushi Suzuki

125 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atsushi Suzuki Japan	26	740	676	352	351	341	145	2.7k
Rosario D’Anna Italy	39	989 1.3×	659 1.0×	562 1.6×	211 0.6×	1.3k 3.8×	121	4.5k
Han Seok Choi South Korea	27	205 0.3×	631 0.9×	308 0.9×	501 1.4×	625 1.8×	109	2.3k
Hidekazu Arai Japan	27	396 0.5×	681 1.0×	335 1.0×	256 0.7×	824 2.4×	103	2.8k
Francesco Corrado Italy	35	889 1.2×	562 0.8×	839 2.4×	158 0.5×	1.3k 3.7×	88	5.1k
Daisuke Inoue Japan	27	430 0.6×	1.3k 1.9×	382 1.1×	336 1.0×	317 0.9×	112	3.2k
Chia‐Chao Wu Taiwan	33	308 0.4×	806 1.2×	425 1.2×	147 0.4×	509 1.5×	154	3.3k
Yasumasa Ikeda Japan	34	412 0.6×	970 1.4×	342 1.0×	70 0.2×	336 1.0×	151	3.5k
L Theodorsen Norway	22	389 0.5×	592 0.9×	518 1.5×	190 0.5×	252 0.7×	57	2.9k
José R. Romero United States	28	644 0.9×	816 1.2×	413 1.2×	73 0.2×	121 0.4×	116	2.6k
Edgar Delvin Canada	25	391 0.5×	288 0.4×	253 0.7×	156 0.4×	600 1.8×	64	2.0k

Countries citing papers authored by Atsushi Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Atsushi Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Suzuki

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

All Works

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20 of 20 papers shown

Mizutani, Yasuaki, Reiko Ohdake, Yasuhiro Maeda, et al.. (2025). Metabolic profiles associated with fat loss in Parkinson’s disease. Journal of Neurology Neurosurgery & Psychiatry. 97(4). 335–344.

Seino, Yusuke, Kenju Shimomura, Yuko Maejima, et al.. (2025). Pyruvate kinase modulates the link between β‐cell fructose metabolism and insulin secretion. The FASEB Journal. 39(7). e70500–e70500. 2 indexed citations

Shibata, Megumi, et al.. (2025). Effects of High-Protein Nutritional Guidance on Sarcopenia-Related Parameters in Individuals Aged ≥ 75 Years with Type 2 Diabetes: An Exploratory Single-Arm Pre–Post Intervention Study. Nutrients. 17(21). 3459–3459.

Ushiroda, Chihiro, et al.. (2025). Chrebp Deletion and Mild Protein Restriction Additively Decrease Muscle and Bone Mass and Function. Nutrients. 17(3). 488–488.

Seino, Yusuke, et al.. (2024). Sildenafil amplifies calcium influx and insulin secretion in pancreatic β cells. Physiological Reports. 12(11). e16091–e16091. 4 indexed citations

Furukawa, Yasushi, Keiko Tanaka, Osamu Isozaki, et al.. (2024). Prospective Multicenter Registry–Based Study on Thyroid Storm: The Guidelines for Management From Japan Are Useful. The Journal of Clinical Endocrinology & Metabolism. 110(1). e87–e96. 4 indexed citations

Fujisawa, Haruki, Naoko Iwata, Takashi Watanabe, et al.. (2024). Effects of hypernatremia on the microglia. Peptides. 179. 171267–171267. 3 indexed citations

Yamada, Yuichiro, Hiroki Fujita, Atsushi Araki, et al.. (2023). Efficacy and Safety of 6-Month High Dietary Protein Intake in Hospitalized Adults Aged 75 or Older at Nutritional Risk: An Exploratory, Randomized, Controlled Study. Nutrients. 15(9). 2024–2024. 5 indexed citations

Ito, T., et al.. (2023). Impact of B Cell Depletion on COVID-19 in Kidney Transplant Recipients. Viruses. 15(7). 1520–1520. 1 indexed citations

10.

Suzuki, Atsushi. (2023). Multidisciplinary approach to management of osteoporosis with osteoporosis liaison service (OLS). Endocrine Journal. 70(5). 459–464. 2 indexed citations

11.

Seino, Yusuke, Masashi Nakatani, Keisuke Hitachi, et al.. (2023). Blockade of glucagon increases muscle mass and alters fiber type composition in mice deficient in proglucagon‐derived peptides. Journal of Diabetes Investigation. 14(9). 1045–1055. 8 indexed citations

12.

Haraguchi, Takuya, Hitoshi Kuwata, Yusuke Seino, et al.. (2022). Association of dipeptidyl peptidase‐4 inhibitor use and risk of pancreatic cancer in individuals with diabetes in Japan. Journal of Diabetes Investigation. 14(1). 67–74. 6 indexed citations

13.

Masuda, Atsushi, Yusuke Seino, Megumi Shibata, et al.. (2019). Short-Term High-Starch, Low-Protein Diet Induces Reversible Increase in β-cell Mass Independent of Body Weight Gain in Mice. Nutrients. 11(5). 1045–1045. 4 indexed citations

14.

Makino, Masaki, Ryo Yoshimoto, Masaki Ono, et al.. (2019). Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Scientific Reports. 9(1). 11862–11862. 142 indexed citations

15.

Shibata, Megumi, et al.. (2018). Serum sclerostin concentration reflects bone turnover and glycation in men with type 2 diabetes mellitus. SHILAP Revista de lepidopterología.

16.

Ono, Masaki, Akira Koseki, Michiharu Kudo, et al.. (2018). Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder.. National Conference on Artificial Intelligence. 451–454. 2 indexed citations

17.

Suzuki, Atsushi, et al.. (2015). [Hip Fracture--Epidemiology, Management and Liaison Service. Osteoporosis liaison service in Japan].. PubMed. 25(4). 559–63. 3 indexed citations

18.

Hayakawa, Nobuki & Atsushi Suzuki. (2012). [Diabetes mellitus and osteoporosis. Effect of antidiabetic medicine on osteoporotic fracture].. PubMed. 22(9). 1383–90. 9 indexed citations

19.

Akamizu, Takashi, Tetsurou Satoh, Osamu Isozaki, et al.. (2012). Diagnostic Criteria, Clinical Features, and Incidence of Thyroid Storm Based on Nationwide Surveys. Thyroid. 22(7). 661–679. 253 indexed citations

20.

Yamada, Tsutomu, Chika Matsunaga, H. OKAZAKI, et al.. (2011). Osteomalacia with severe thoracic and spondylous deformity complicated by osteoporosis. BMJ Case Reports. 2011. bcr0420114127–bcr0420114127. 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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