Hiroshi Kajio

4.5k total citations
140 papers, 2.5k citations indexed

About

Hiroshi Kajio is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Hiroshi Kajio has authored 140 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Endocrinology, Diabetes and Metabolism, 54 papers in Surgery and 42 papers in Genetics. Recurrent topics in Hiroshi Kajio's work include Diabetes Management and Research (40 papers), Diabetes and associated disorders (39 papers) and Pancreatic function and diabetes (33 papers). Hiroshi Kajio is often cited by papers focused on Diabetes Management and Research (40 papers), Diabetes and associated disorders (39 papers) and Pancreatic function and diabetes (33 papers). Hiroshi Kajio collaborates with scholars based in Japan, United States and Vietnam. Hiroshi Kajio's co-authors include Tetsuro Tsujimoto, Takehiro Sugiyama, Mitsuhiko Noda, Christopher J. Rhodes, Miyako Kishimoto, Ritsuko Yamamoto‐Honda, Tetsuro Kobayashi, Martin G. Myers, Christian Wrede and S Hügl and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Hiroshi Kajio

133 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Kajio Japan 25 1.0k 753 575 557 491 140 2.5k
Rui‐Xing Yin China 28 805 0.8× 1.0k 1.3× 791 1.4× 567 1.0× 787 1.6× 162 3.0k
James M. Luther United States 31 1.2k 1.1× 595 0.8× 757 1.3× 163 0.3× 556 1.1× 71 2.7k
Gabriella Gruden Italy 39 1.0k 1.0× 593 0.8× 1.3k 2.2× 348 0.6× 655 1.3× 117 4.1k
Venkatesan Radha India 29 887 0.9× 592 0.8× 755 1.3× 891 1.6× 287 0.6× 107 2.5k
Joachim Beige Germany 26 674 0.7× 375 0.5× 433 0.8× 245 0.4× 960 2.0× 112 2.4k
Jo Satoh Japan 27 803 0.8× 513 0.7× 480 0.8× 497 0.9× 292 0.6× 66 2.5k
Sandra Pinho Silveiro Brazil 24 965 0.9× 515 0.7× 443 0.8× 242 0.4× 412 0.8× 91 3.0k
Michal Vráblík Czechia 26 501 0.5× 946 1.3× 343 0.6× 206 0.4× 387 0.8× 167 2.0k
Maria Luiza Caramori United States 16 852 0.8× 368 0.5× 555 1.0× 239 0.4× 395 0.8× 32 2.7k
Tomohito Gohda Japan 32 799 0.8× 361 0.5× 651 1.1× 271 0.5× 389 0.8× 127 3.1k

Countries citing papers authored by Hiroshi Kajio

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kajio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kajio

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kajio. A scholar is included among the top collaborators of Hiroshi Kajio 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 Hiroshi Kajio. Hiroshi Kajio 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.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). New diagnostic criteria (2023) for slowly progressive type 1 diabetes (SPIDDM): Report from Committee on Type 1 Diabetes of the Japan Diabetes Society (English version). Journal of Diabetes Investigation. 15(2). 254–257. 8 indexed citations
2.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). Practice guideline: Statement regarding treatment for suspected slowly progressive type 1 diabetes (SPIDDM; probable) cases (English version). Journal of Diabetes Investigation. 16(1). 163–168.
5.
Ihana‐Sugiyama, Noriko, Kazuo Izumi, Ryotaro Bouchi, et al.. (2023). New‐onset type 1 diabetes and Graves' disease after antiretroviral therapy in a patient with human immunodeficiency virus infection. Journal of Diabetes Investigation. 14(3). 489–493. 2 indexed citations
6.
Hirano, Daishi, Hiroyuki Unoki‐Kubota, Toshiyuki Imasawa, et al.. (2023). Independent risk factors of rapid glomerular filtration rate decline in patients with type 2 diabetes with preserved kidney function and normoalbuminuria: A multicenter cohort study. Journal of Diabetes Investigation. 14(7). 874–882. 5 indexed citations
7.
Kawasaki, Eiji, Akira Shimada, Akihisa Imagawa, et al.. (2023). Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes. Journal of Diabetes Investigation. 14(4). 570–581. 7 indexed citations
8.
Sugiyama, Takehiro, Ryotaro Bouchi, Nobuaki Matsunaga, et al.. (2023). Association of acute‐to‐chronic glycemic ratio and outcomes in patients with COVID‐19 and undiagnosed diabetes mellitus: A retrospective nationwide cohort study. Journal of Diabetes Investigation. 14(4). 623–629. 3 indexed citations
10.
Bouchi, Ryotaro, Noriko Ihana‐Sugiyama, Mitsuru Ohsugi, et al.. (2023). A case of type 2 diabetes mellitus with weight gain and worsening of glycemic management after tezepelumab administration for severe bronchial asthma. Journal of Diabetes Investigation. 15(3). 388–390. 3 indexed citations
13.
Tsujimoto, Tetsuro, Hiroshi Kajio, & Takehiro Sugiyama. (2017). Statin Therapy in Patients With Low Serum Levels of Low-Density Lipoprotein Cholesterol. The American Journal of Cardiology. 120(11). 1947–1954. 3 indexed citations
14.
Kurotani, Kayo, Palitha Karunapema, Kapila Jayaratne, et al.. (2017). Circulating odd-chain saturated fatty acids were associated with arteriosclerosis among patients with diabetes, dyslipidemia, or hypertension in Sri Lanka but not Japan. Nutrition Research. 50. 82–93. 6 indexed citations
15.
Tsujimoto, Tetsuro & Hiroshi Kajio. (2017). Abdominal Obesity Is Associated With an Increased Risk of All-Cause Mortality in Patients With HFpEF. Journal of the American College of Cardiology. 70(22). 2739–2749. 154 indexed citations
16.
Tsujimoto, Tetsuro, Ritsuko Yamamoto‐Honda, Hiroshi Kajio, et al.. (2016). Accelerated decline of renal function in type 2 diabetes following severe hypoglycemia. Journal of Diabetes and its Complications. 30(4). 681–685. 4 indexed citations
17.
Tsujimoto, Tetsuro, Hiroshi Kajio, & Takehiro Sugiyama. (2016). Obesity, diabetes, and length of time in the United States. Medicine. 95(35). e4578–e4578. 23 indexed citations
18.
Imai, Kenjiro, Miyako Kishimoto, Tetsuro Tsujimoto, et al.. (2013). Successful Treatment of Chronic Intractable Itching Using Oral Pregabalin in a Patient with Diabetes and Systemic Prurigo Nodularis: A Case Report of an Iliopsoas Muscle Abscess. Internal Medicine. 52(23). 2629–2633. 7 indexed citations
19.
Katagiri, Sayaka, Toshiyuki Nagasawa, Hiroaki Kobayashi, et al.. (2012). Improvement of glycemic control after periodontal treatment by resolving gingival inflammation in type 2 diabetic patients with periodontal disease. Journal of Diabetes Investigation. 3(4). 402–409. 16 indexed citations
20.
Morfini, Gerardo, Lori B. Hays, Hiroshi Kajio, et al.. (2002). Ca2+-dependent Dephosphorylation of Kinesin Heavy Chain on β-Granules in Pancreatic β-Cells. Journal of Biological Chemistry. 277(27). 24232–24242. 85 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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