Mitsuhiko Noda

23.5k total citations · 6 hit papers
332 papers, 15.6k citations indexed

About

Mitsuhiko Noda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Mitsuhiko Noda has authored 332 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Endocrinology, Diabetes and Metabolism, 82 papers in Molecular Biology and 68 papers in Physiology. Recurrent topics in Mitsuhiko Noda's work include Diabetes, Cardiovascular Risks, and Lipoproteins (64 papers), Metabolism, Diabetes, and Cancer (61 papers) and Diabetes Management and Research (56 papers). Mitsuhiko Noda is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (64 papers), Metabolism, Diabetes, and Cancer (61 papers) and Diabetes Management and Research (56 papers). Mitsuhiko Noda collaborates with scholars based in Japan, United States and United Kingdom. Mitsuhiko Noda's co-authors include Atsushi Goto, Hiroshi Noto, Shoichiro Tsugane, Takashi Kadowaki, Tetsuya Mizoue, Manami Inoue, Tetsuro Tsujimoto, Kazuhiro Eto, Kohjiro Ueki and Toshimasa Yamauchi and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mitsuhiko Noda

322 papers receiving 15.1k citations

Hit Papers

Adiponectin stimulates glucose utilization and fatty-acid... 2002 2026 2010 2018 2002 2012 2020 2013 2011 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated protein kinase
    2002 3.4k citations Mitsuhiko Noda, Takashi Kadowaki et al. profile →
  2. Cancer Risk in Diabetic Patients Treated with Metformin: A Systematic Review and Meta-analysis
    2012 453 citations Hiroshi Noto, Atsushi Goto et al. PLoS ONE profile →
  3. Japanese Clinical Practice Guideline for Diabetes 2019
    2020 380 citations Atsushi Goto, Mitsuhiko Noda et al. profile →
  4. Severe hypoglycaemia and cardiovascular disease: systematic review and meta-analysis with bias analysis
    2013 375 citations Atsushi Goto, Maki Goto et al. profile →
  5. What has made the population of Japan healthy?
    2011 333 citations Eiko Saito, Manami Inoue et al. profile →
  6. Japanese Clinical Practice Guideline for Diabetes 2016
    2018 268 citations Mitsuhiko Noda, Hiroshi Noto et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuhiko Noda Japan 56 5.1k 4.2k 4.2k 4.0k 2.8k 332 15.6k
Anthony J. Hanley Canada 71 4.9k 1.0× 3.1k 0.7× 2.6k 0.6× 3.8k 0.9× 2.7k 1.0× 334 15.5k
Hirohito Sone Japan 62 3.9k 0.8× 2.8k 0.7× 4.4k 1.0× 2.2k 0.5× 2.6k 0.9× 568 15.5k
Khosrow Adeli Canada 65 6.0k 1.2× 4.8k 1.1× 4.6k 1.1× 4.1k 1.0× 3.3k 1.2× 414 17.5k
Beverley Balkau France 76 7.2k 1.4× 4.3k 1.0× 3.8k 0.9× 5.2k 1.3× 2.8k 1.0× 349 20.1k
Andreas Pfeiffer Germany 73 5.3k 1.0× 7.4k 1.7× 7.3k 1.7× 4.5k 1.1× 2.8k 1.0× 538 23.3k
Marc K. Hellerstein United States 73 3.2k 0.6× 5.9k 1.4× 5.3k 1.3× 3.8k 0.9× 2.4k 0.9× 297 19.1k
Giovanni Pacini Italy 65 7.6k 1.5× 4.0k 0.9× 3.6k 0.9× 3.6k 0.9× 4.6k 1.6× 319 16.4k
Stephan J. L. Bakker Netherlands 75 4.5k 0.9× 4.2k 1.0× 4.2k 1.0× 2.8k 0.7× 3.2k 1.1× 889 24.2k
Hüseyin Kurt Türkiye 5 4.6k 0.9× 3.3k 0.8× 2.3k 0.5× 3.6k 0.9× 2.6k 0.9× 16 18.7k
Riccardo C. Bonadonna Italy 60 8.0k 1.6× 5.4k 1.3× 4.5k 1.1× 3.4k 0.9× 3.4k 1.2× 241 17.7k

Countries citing papers authored by Mitsuhiko Noda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiko Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiko Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiko Noda. A scholar is included among the top collaborators of Mitsuhiko Noda 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 Mitsuhiko Noda. Mitsuhiko Noda 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.
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
2.
Miki, Takako, Akiko Nanri, Tetsuya Mizoue, et al.. (2023). Association of body mass index and weight change with pneumonia mortality in a Japanese population: Japan Public Health Center-based Prospective Study. International Journal of Obesity. 47(6). 479–486. 2 indexed citations
3.
4.
Miyamoto, Yoshihisa, Ryoko Katagiri, Taiki Yamaji, et al.. (2022). Association of chronic kidney disease with total and site-specific cancer incidence in participants of the Japan Public Health Center-based Prospective Study. Nephrology Dialysis Transplantation. 38(6). 1487–1496. 5 indexed citations
5.
Goto, Atsushi, Kosuke Inoue, Masataka Taguri, et al.. (2022). Association between diabetes and adjuvant chemotherapy implementation in patients with stage III colorectal cancer. Journal of Diabetes Investigation. 13(10). 1771–1778. 1 indexed citations
6.
7.
Goto, Atsushi, Norie Sawada, Tetsuya Mizoue, et al.. (2021). Association between sugar and starch intakes and type 2 diabetes risk in middle-aged adults in a prospective cohort study. European Journal of Clinical Nutrition. 76(5). 746–755. 7 indexed citations
8.
Sakane, Naoki, Yoshitake Oshima, Kazuhiko Kotani, et al.. (2021). Impact of telephone support programme using telemonitoring on stage of change towards healthy eating and active exercise in people with prediabetes. Journal of Telemedicine and Telecare. 27(5). 307–313. 6 indexed citations
9.
Sakane, Naoki, Yoshitake Oshima, Kazuhiko Kotani, et al.. (2020). Self-weighing frequency and the incidence of type 2 diabetes: post hoc analysis of a cluster-randomized controlled trial. BMC Research Notes. 13(1). 375–375. 1 indexed citations
10.
Katagiri, Ryoko, Atsushi Goto, Norie Sawada, et al.. (2020). Dietary fiber intake and total and cause-specific mortality: the Japan Public Health Center-based prospective study. American Journal of Clinical Nutrition. 111(5). 1027–1035. 42 indexed citations
11.
Sakane, Naoki, Kazuhiko Kotani, Kaoru Takahashi, et al.. (2019). Prevention of Metabolic Syndrome by Telephone-Delivered Lifestyle Intervention in a Real-World Setting: Sub-Analysis of a Cluster-Randomized Trial. Metabolic Syndrome and Related Disorders. 17(7). 355–361. 7 indexed citations
12.
Yamamoto, Junpei, Junko Ishihara, Ayaka Kotemori, et al.. (2019). Association Between Okinawan Vegetables Consumption and Risk of Type 2 Diabetes in Japanese Communities: The JPHC Study. Journal of Epidemiology. 30(5). 227–235. 4 indexed citations
13.
Nanri, Akiko, Tetsuya Mizoue, Mitsuhiko Noda, et al.. (2018). Menstrual and reproductive factors and type 2 diabetes risk: The Japan Public Health Center‐based Prospective Study. Journal of Diabetes Investigation. 10(1). 147–153. 13 indexed citations
14.
15.
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
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.
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
18.
Noto, Hiroshi, Atsushi Goto, Tetsuro Tsujimoto, & Mitsuhiko Noda. (2012). Cancer Risk in Diabetic Patients Treated with Metformin: A Systematic Review and Meta-analysis. PLoS ONE. 7(3). e33411–e33411. 453 indexed citations breakdown →
19.
Terauchi, Yasuo, Naoto Kubota, Junji Matsui, et al.. (2007). Glucokinase and IRS-2 are required for compensatory   cell hyperplasia in response to high-fat diet-induced insulin resistance. Journal of Clinical Investigation. 117(1). 246–257. 275 indexed citations
20.
Yamamura, Y., Mitsuhiko Noda, & Yoji Ikawa. (1995). F-SFFV GP55/EPOR SIGNALING IS MEDIATED BY JAK1-STAT5. AIDS Research and Human Retroviruses. 11. 125. 6 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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