Hiroshi Hirose

7.1k total citations
120 papers, 3.6k citations indexed

About

Hiroshi Hirose is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Hiroshi Hirose has authored 120 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 38 papers in Endocrinology, Diabetes and Metabolism and 35 papers in Physiology. Recurrent topics in Hiroshi Hirose's work include Adipokines, Inflammation, and Metabolic Diseases (30 papers), Regulation of Appetite and Obesity (23 papers) and Adipose Tissue and Metabolism (22 papers). Hiroshi Hirose is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (30 papers), Regulation of Appetite and Obesity (23 papers) and Adipose Tissue and Metabolism (22 papers). Hiroshi Hirose collaborates with scholars based in Japan, United States and United Kingdom. Hiroshi Hirose's co-authors include Ikuo Saito, Takao Saruta, Y. Yamamoto, Hiroshi Kawabe, Hiroshi Itoh, Shiro Maeda, Kohei Kaku, Kanako Nishikai, Toshihide Kawai and Yasushi Tanaka and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Hiroshi Hirose

117 papers receiving 3.5k 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 Hirose Japan 34 1.2k 1.2k 959 847 678 120 3.6k
Montserrat Broch Spain 25 662 0.5× 1.5k 1.3× 929 1.0× 516 0.6× 284 0.4× 47 3.1k
Mustapha Maachi France 18 895 0.7× 1.9k 1.6× 1.4k 1.5× 562 0.7× 299 0.4× 34 4.4k
Shawn Winer Canada 27 1.2k 1.0× 2.2k 1.8× 1.4k 1.5× 394 0.5× 998 1.5× 49 4.9k
Claire Lagathu France 24 1.2k 1.0× 1.5k 1.3× 1.3k 1.4× 470 0.6× 310 0.5× 36 4.3k
Michèle Cioffi Italy 28 604 0.5× 928 0.8× 726 0.8× 874 1.0× 377 0.6× 74 3.4k
Hiroshi Obayashi Japan 33 672 0.6× 660 0.6× 721 0.8× 598 0.7× 410 0.6× 108 3.8k
Martine Caron France 21 1.1k 0.9× 1.1k 1.0× 970 1.0× 441 0.5× 264 0.4× 45 3.8k
Xiaojing Ma China 33 1.3k 1.1× 805 0.7× 842 0.9× 1.6k 1.8× 655 1.0× 211 4.3k
Mitsuru Ohsugi Japan 29 1.9k 1.6× 2.1k 1.8× 1.5k 1.6× 1.0k 1.2× 755 1.1× 80 5.4k
Maria Gisella Cavallo Italy 36 702 0.6× 1.5k 1.2× 744 0.8× 1.3k 1.6× 976 1.4× 129 4.1k

Countries citing papers authored by Hiroshi Hirose

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Hirose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Hirose

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Hirose. A scholar is included among the top collaborators of Hiroshi Hirose 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 Hirose. Hiroshi Hirose 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
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Kawai, Toshihide, Koichiro Azuma, Yuko Oguma, et al.. (2017). Relationships between Composition of Major Fatty Acids and Fat Distribution and Insulin Resistance in Japanese. Journal of Diabetes Research. 2017. 1–9. 8 indexed citations
3.
Hayashi, Kaori, Michiyo Takayama, Takayuki Abe, et al.. (2017). Investigation of Metabolic Factors Associated with eGFR Decline Over 1 Year in a Japanese Population without CKD. Journal of Atherosclerosis and Thrombosis. 24(8). 863–875. 16 indexed citations
4.
Hirata, Takumi, Kengo Tomita, Toshihide Kawai, et al.. (2013). Effect of Telmisartan or Losartan for Treatment of Nonalcoholic Fatty Liver Disease: Fatty Liver Protection Trial by Telmisartan or Losartan Study (FANTASY). International Journal of Endocrinology. 2013. 1–9. 67 indexed citations
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Low, Siew‐Kee, Aya Kuchiba, Hitoshi Zembutsu, et al.. (2010). Genome-Wide Association Study of Pancreatic Cancer in Japanese Population. PLoS ONE. 5(7). e11824–e11824. 89 indexed citations
7.
Saisho, Yoshifumi, Hiroshi Hirose, Y. Seino, Ikuo Saito, & Hiroshi Itoh. (2010). Usefulness of C-Reactive Protein to High-Molecular-Weight Adiponectin Ratio to Predict Insulin Resistance and Metabolic Syndrome in Japanese Men. Journal of Atherosclerosis and Thrombosis. 17(9). 944–952. 7 indexed citations
8.
Maruyama, Taro, et al.. (2009). MCP-1 gene A-2518G polymorphism and carotid artery atherosclerosis in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 86(3). 193–198. 25 indexed citations
9.
Yokoyama, Hirokazu, Hiroshi Hirose, Hiroshi Kawabe, & Ikuo Saito. (2009). Characteristics of Reference Intervals of Metabolic Factors in Healthy Japanese: A Proposal to Set Generation- and Gender- Specific Diagnostic Criteria for Metabolic Syndrome. Journal of Atherosclerosis and Thrombosis. 16(2). 113–120. 2 indexed citations
10.
Nakatani, Hiroshi, Kazunori Kasama, Takashi Oshiro, et al.. (2009). Serum bile acid along with plasma incretins and serum high–molecular weight adiponectin levels are increased after bariatric surgery. Metabolism. 58(10). 1400–1407. 162 indexed citations
11.
Iwase, Kyoko, Akira Shimada, Toshihide Kawai, et al.. (2008). FOXP3/Scurfingene polymorphism is associated with adult onset type 1 diabetes in Japanese, especially in women and slowly progressive-type patients. Autoimmunity. 42(2). 159–167. 13 indexed citations
12.
Hirose, Hiroshi & Ikuo Saito. (2003). Trends in Blood pressure Control in Hypertensive Patients with Diabetes Mellitus in Japan. Hypertension Research. 26(9). 717–722. 13 indexed citations
13.
Moriya, Susumu, Hirokazu Yokoyama, Hiroshi Hirose, Hiromasa Ishii, & Ikuo Saito. (2003). Correlation Between Insulin Resistance and γ‐Glutamyl Transpeptidase Sensitivity in Light Drinkers. Alcoholism Clinical and Experimental Research. 27(s1). 52S–57S. 8 indexed citations
14.
Saito, Ikuo, et al.. (2003). Relation between Blood Pressure and Rhinitis in a Japanese Adolescent Population. Hypertension Research. 26(12). 961–963. 8 indexed citations
15.
Yokoyama, Hirokazu, Hiroshi Hirose, Susumu Moriya, & Ikuo Saito. (2002). Significant Correlation Between Insulin Resistance and Serum Gamma‐Glutamyl Transpeptidase (γ‐GTP) Activity in Non‐Drinkers. Alcoholism Clinical and Experimental Research. 26(s1). 1 indexed citations
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Ishitani, Tohru, Hiroshi Hirose, & Hideki Tsuboi. (1995). Focused-Ion-Beam Digging of Biological Specimens. Journal of Electron Microscopy. 44(2). 110–4. 19 indexed citations
19.
Ito, Ko, Hiroshi Hirose, Hiroshi Maruyama, et al.. (1995). Neurotransmitters partially restore glucose sensitivity of insulin and glucagon secretion from perfused streptozotocin-induced diabetic rat pancreas. Diabetologia. 38(11). 1276–1284. 7 indexed citations
20.
Hirose, Hiroshi, et al.. (1994). Effects of diazoxide on α- and β-cell function in isolated perfused rat pancreas. Diabetes Research and Clinical Practice. 25(2). 77–82. 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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