Akira Shimada

8.3k total citations
224 papers, 5.5k citations indexed

About

Akira Shimada is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Akira Shimada has authored 224 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Genetics, 109 papers in Endocrinology, Diabetes and Metabolism and 105 papers in Surgery. Recurrent topics in Akira Shimada's work include Diabetes and associated disorders (116 papers), Pancreatic function and diabetes (86 papers) and Diabetes Management and Research (71 papers). Akira Shimada is often cited by papers focused on Diabetes and associated disorders (116 papers), Pancreatic function and diabetes (86 papers) and Diabetes Management and Research (71 papers). Akira Shimada collaborates with scholars based in Japan, United States and South Korea. Akira Shimada's co-authors include Taro Maruyama, Tetsuro Kobayashi, Yoichi Oikawa, Takao Saruta, Eiji Kawasaki, Akira Kasuga, Takuya Awata, Toshiaki Hanafusa, Akihisa Imagawa and Shoichiro Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Akira Shimada

214 papers receiving 5.3k citations

Peers

Countries citing papers authored by Akira Shimada

Since Specialization

Citations

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

Fields of papers citing papers by Akira Shimada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Shimada. A scholar is included among the top collaborators of Akira Shimada 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 Akira Shimada. Akira Shimada 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

#	Work	Indexed citations
1	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) 2024 ·Journal of Diabetes Investigation ·Akira Shimada, Eiji Kawasaki, Norio Abiru, Takuya Awata, Yoichi Oikawa, Haruhiko Osawa, Hiroshi Kajio, Junji Kozawa, Kazuma Takahashi, Daisuke Chujo, Shinsuke Noso, Tomoyasu Fukui, Junnosuke Miura, Kazuki Yasuda, Hisafumi Yasuda, Akihisa Imagawa, Hiroshi Ikegami	8
2	Long‐term effects of ipragliflozin and pioglitazone on metabolic dysfunction‐associated steatotic liver disease in patients with type 2 diabetes: 5 year observational follow‐up of a randomized, 24 week, active‐controlled trial 2024 ·Journal of Diabetes Investigation ·Daisuke Ito, Satoshi Shimizu, (unknown), (unknown), Kazuyuki Inoue, (unknown), (unknown), M. Yanagisawa, Yoshihito Uchida, Kouichi Inukai, Akira Shimada	8
3	Practice guideline: Statement regarding treatment for suspected slowly progressive type 1 diabetes (SPIDDM; probable) cases (English version) 2024 ·Journal of Diabetes Investigation ·Akira Shimada, Eiji Kawasaki, Norio Abiru, Takuya Awata, Yoichi Oikawa, Haruhiko Osawa, Hiroshi Kajio, Junji Kozawa, Kazuma Takahashi, Daisuke Chujo, Shinsuke Noso, Tomoyasu Fukui, Junnosuke Miura, Kazuki Yasuda, Hisafumi Yasuda, Akihisa Imagawa, Hiroshi Ikegami	0
4	Pheochromocytoma With High Adrenocorticotropic Hormone Production Capacity Without Pigmentation and Cushingoid Symptoms: A Case Report With a Literature Review 2024 ·Cureus ·(unknown), Masashi Isshiki, Eisuke Shimizu, (unknown), Akira Shimada	0
5	Difference in the accuracy of the third-generation algorithm and the first-generation algorithm of FreeStyle Libre continuous glucose monitoring device 2024 ·The Journal of Medical Investigation ·Takashi Murata, Naoki Sakane, Yushi Hirota, Masao Toyoda, Munehide Matsuhisa, Akio Kuroda, (unknown), Shu Meguro, Junnosuke Miura, (unknown), Ken Kato, Shota Suzuki, Akira Shimada	0
6	Real‐world risk of cardiovascular diseases in patients with type 2 diabetes associated with sodium–glucose cotransporter 2 inhibitors in comparison with metformin: A propensity score‐matched model analysis in Japan 2023 ·Journal of Diabetes Investigation ·Takeshi Horii, Yoichi Oikawa, Akira Shimada, Kiyoshi Mihara	2
7	Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes 2023 ·Journal of Diabetes Investigation ·Eiji Kawasaki, Akira Shimada, Akihisa Imagawa, Norio Abiru, Takuya Awata, Yoichi Oikawa, Haruhiko Osawa, Yumiko Kawabata, Junji Kozawa, Tetsuro Kobayashi, Kazuma Takahashi, Daisuke Chujo, Tomoyasu Fukui, Junnosuke Miura, Kazuki Yasuda, Hisafumi Yasuda, Hiroshi Kajio, Toshiaki Hanafusa, Hiroshi Ikegami	7
8	Bi-glandular and persistent enterovirus infection and distinct changes of the pancreas in slowly progressive type 1 diabetes mellitus 2023 ·Scientific Reports ·Tomoyasu Fukui, Tetsuro Kobayashi, (unknown), Kaoru Aida, Akira Shimada, Yoichi Oikawa, Yasumichi Mori, Takeshi Fujii, Rikako Koyama, Kazuhiko Kobayashi, Akira Takeshita, Soroku Yagihashi	11
9	Comparing the clinical significance and antigen specificity of insulinoma‐associated antigen‐2 autoantibodies between radioimmunoassay and enzyme‐linked immunosorbent assay in Japanese patients with type 1 diabetes 2022 ·Journal of Diabetes Investigation ·Eiji Kawasaki, Akira Shimada, Akihisa Imagawa, Norio Abiru, Takuya Awata, Yoichi Oikawa, Haruhiko Osawa, Yumiko Kawabata, Junji Kozawa, Tetsuro Kobayashi, Kazuma Takahashi, Daisuke Chujo, Tomoyasu Fukui, Junnosuke Miura, Kazuki Yasuda, Hisafumi Yasuda, Hiroshi Kajio, Toshiaki Hanafusa, Hiroshi Ikegami	4
10	Unique Inflammatory Changes in Exocrine and Endocrine Pancreas in Enterovirus-Induced Fulminant Type 1 Diabetes 2019 ·The Journal of Clinical Endocrinology & Metabolism ·(unknown), (unknown), Tomoyasu Fukui, Kaoru Aida, Akira Shimada, Yoichi Oikawa, Soroku Yagihashi, Junnosuke Miura, Tetsuya Babazono, Tetsuro Kobayashi	13
11	Insulin degludec overdose may lead to long‐lasting hypoglycaemia through its markedly prolonged half‐life 2017 ·Diabetic Medicine ·(unknown), Yoichi Oikawa, Takeshi Katsuki, Haruo Takeda, Akira Shimada, Toshihide Kawai	3
12	Induction of anti-whole GAD65 reactivity in vivo results in disease suppression in type 1 diabetes 2009 ·Journal of Autoimmunity ·Yasuhiko Kanazawa, Akira Shimada, Yoichi Oikawa, Yoshiaki Okubo, Ai Tada, (unknown), Jun‐ichi Miyazaki, Hiroshi Itoh	11
13	Nationwide survey to compare the prevalence of transient elevation of liver transaminase during treatment of diabetic ketosis or ketoacidosis in new-onset acute and fulminant type 1 diabetes mellitus 2008 ·Annals of Medicine ·Hiroko Takaike, Yasuko Uchigata, Yasuhiko Iwamoto, Akihisa Imagawa, Hiromi Iwahashi, Azuma Kanatsuka, Eiji Kawasaki, Tetsuro Kobayashi, Akira Shimada, Ikki Shimizu, Taro Maruyama, Toshiaki Hanafusa, Hideichi Makino	10
14	Eradication of Helicobactor pylori May Trigger Onset of Type 1 Diabetes 2008 ·Annals of the New York Academy of Sciences ·Ai Tada, (unknown), Akira Shimada, Takeshi Katsuki, Yoichi Oikawa, Hiroshi Itoh	4
15	CXCL10 DNA Vaccination Prevents Spontaneous Diabetes through Enhanced β Cell Proliferation in NOD Mice 2005 ·The Journal of Immunology ·Toshikatsu Shigihara, Akira Shimada, Yoichi Oikawa, Hiroyuki Yoneyama, Yasuhiko Kanazawa, Yoshiaki Okubo, Kouji Matsushima, Eiji Yamato, Jun‐ichi Miyazaki, Akira Kasuga, Takao Saruta, Shosaku Narumi	27
16	Different contribution of class II HLA in fulminant and typical autoimmune type 1 diabetes mellitus 2005 ·Diabetologia ·Akihisa Imagawa, Toshiaki Hanafusa, Yasuko Uchigata, Azuma Kanatsuka, Eiji Kawasaki, Tetsuro Kobayashi, Akira Shimada, Ikki Shimizu, Taro Maruyama, Hideichi Makino	92
17	Systemic Administration of IL-18 Promotes Diabetes Development in Young Nonobese Diabetic Mice 2003 ·The Journal of Immunology ·Yoichi Oikawa, Akira Shimada, Akira Kasuga, Jiro Morimoto, Tadashi Osaki, Hideaki Tahara, Tatsushi Miyazaki, Fumi Tashiro, Eiji Yamato, Jun‐ichi Miyazaki, Takao Saruta	66
18	NeuroD/BETA2 Gene G→A Polymorphism May Affect Onset Pattern of Type 1 Diabetes in Japanese 2001 ·Diabetes Care ·Satoru Yamada, Yoshiko Motohashi, Tatsuo Yanagawa, Taro Maruyama, Akira Kasuga, Hiroshi Hirose, Koichi Matsubara, Akira Shimada, Takao Saruta	22
19	Immune modulation with hsp 65 of Mycobacterium leprae. Type 1/Type 2 cytokine production in NOD mice. 2000 ·Ensho ·Hiroko Nomaguchi, (unknown), (unknown), (unknown), (unknown), (unknown), Akira Shimada, Haruki Okamura, Masanori Miyata, Yukio Sato	1
20	A Study of Proliferation of Periodontal Ligament Cells to Exposed Root Surface from Remaining Periodontal Ligament on the Extracted Teeth. 1997 ·Nihon Shishubyo Gakkai Kaishi (Journal of the Japanese Society of Periodontology) ·Akira Shimada, Akira Saito, Hiroshi Kato	3

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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