Shu Hoashi

517 total citations
12 papers, 329 citations indexed

About

Shu Hoashi is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shu Hoashi has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Shu Hoashi's work include Diabetes and associated disorders (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Shu Hoashi is often cited by papers focused on Diabetes and associated disorders (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Shu Hoashi collaborates with scholars based in United Kingdom, Japan and Ireland. Shu Hoashi's co-authors include C. Walton, Mark L. Evans, Claire Turner, Saket Gupta, Sinéad M. Miggin, Thusitha Gajanayake, Ashwini Maratha, Jakub Siednienko, Shigenori Yoshitake and Takayuki Noguchi and has published in prestigious journals such as Scientific Reports, Metabolism and International Journal of Hyperthermia.

In The Last Decade

Shu Hoashi

12 papers receiving 321 citations

Peers

Shu Hoashi

BE

EEE

MB

BIOEN

SPECT

Giuseppe Santini Italy

Thomas A. Last United States

Ruben Yiqi Luo United States

Petrus W. Lindenburg Netherlands

Lokinendi V. Rao United States

J. Therasse France

Giulia Manetto Italy

Irina Bakaltcheva United States

Francesco Rondoni Italy

F. J. Rowell United Kingdom

Giuseppe Santini Italy

Shu Hoashi

121 ×0.7

BE

71 ×0.6

EEE

89 ×1.2

MB

33 ×0.5

BIOEN

25 ×0.5

SPECT

Citations per year, relative to Shu Hoashi Shu Hoashi (= 1×) peers Giuseppe Santini

Countries citing papers authored by Shu Hoashi

Since Specialization

Citations

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

Fields of papers citing papers by Shu Hoashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Hoashi

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

All Works

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12 of 12 papers shown

1.

Hoashi, Shu, et al.. (2019). The clinical dilemma of the persistent idiopathic pneumoperitoneum. International Journal of Surgery Case Reports. 63(C). 10–12. 7 indexed citations

2.

Gupta, Saket, Ashwini Maratha, Jakub Siednienko, et al.. (2017). Analysis of inflammatory cytokine and TLR expression levels in Type 2 Diabetes with complications. Scientific Reports. 7(1). 7633–7633. 91 indexed citations

3.

Walton, C., et al.. (2014). The use of a portable breath analysis device in monitoring type 1 diabetes patients in a hypoglycaemic clamp: validation with SIFT-MS data. Journal of Breath Research. 8(3). 37108–37108. 27 indexed citations

4.

Kirwan, Breda, et al.. (2012). A regional pre-pregnancy care (PPC) programme for women with type 1 and type 2 diabetes.. PubMed. 105(5 Suppl). 11–3. 4 indexed citations

5.

Gupta, Saket, Ashwini Maratha, Thusitha Gajanayake, et al.. (2011). Cytokine profiling of pre-diabetic patients. 25(4). 243–54. 2 indexed citations

6.

Osundiji, Mayowa A., et al.. (2010). Recurrent hypoglycemia increases hypothalamic glucose phosphorylation activity in rats. Metabolism. 60(4). 550–556. 18 indexed citations

7.

Turner, Claire, C. Walton, Shu Hoashi, & Mark L. Evans. (2009). Breath acetone concentration decreases with blood glucose concentration in type I diabetes mellitus patients during hypoglycaemic clamps. Journal of Breath Research. 3(4). 46004–46004. 157 indexed citations

8.

Turner, Claire, C. Walton, Shu Hoashi, & Mark Evans. (2009). Breath acetone concentration decreases with blood glucose concentration in type I diabetes mellitus patients during hypoglycaemic clamps Running head: Breath acetone in type 1 diabetes. 9 indexed citations

9.

Hoashi, Shu, et al.. (2004). Diabetes knowledge deficits in adolescents and young adults with type 1 diabetes mellitus. 7. 1 indexed citations

10.

Yoshitake, Shigenori, et al.. (1998). Changes in Intramucosal Ph and Gut Blood Flow During Whole Body Heating in a Porcine Model. International Journal of Hyperthermia. 14(3). 285–291. 9 indexed citations

11.

Nishino, Hiroshi, et al.. (1994). [The influence of the alcohol and the low protein diet on rat pancreas].. PubMed. 91(7). 1220–7. 1 indexed citations

12.

Mori, Masatomo, et al.. (1993). [Interleukin-6 and glucocorticosteroid responses to cardiopulmonary bypass].. PubMed. 42(9). 1297–301. 3 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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