Low-Tone Ho

832 total citations
21 papers, 598 citations indexed

About

Low-Tone Ho is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Low-Tone Ho has authored 21 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Low-Tone Ho's work include Adipose Tissue and Metabolism (8 papers), Diet and metabolism studies (3 papers) and Regulation of Appetite and Obesity (3 papers). Low-Tone Ho is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Diet and metabolism studies (3 papers) and Regulation of Appetite and Obesity (3 papers). Low-Tone Ho collaborates with scholars based in Taiwan, United States and Germany. Low-Tone Ho's co-authors include Victor S. Fang, Ching‐Fai Kwok, Kuang‐Chung Shih, Chii‐Min Hwu, Chi‐Chang Juan, L. Hsiao, Ching Fai Kwok, Shi‐Yen Shiau, Yung-Pei Hsu and Lee‐Ming Chuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Low-Tone Ho

21 papers receiving 574 citations

Peers

Low-Tone Ho
Akinori Kogure Japan
B. H. Jones United States
Saraswathy Nair United States
Christopher J. de Souza United States
Xuefan Xu Sweden
Machiko Kambayashi Japan
D. R. Jensen United States
Emanuele Filice Italy
Caterina Pelosini Italy
A. F. Burnol France
Akinori Kogure Japan
Low-Tone Ho
Citations per year, relative to Low-Tone Ho Low-Tone Ho (= 1×) peers Akinori Kogure

Countries citing papers authored by Low-Tone Ho

Since Specialization
Citations

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

Fields of papers citing papers by Low-Tone Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Low-Tone Ho. 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 Low-Tone Ho. The network helps show where Low-Tone Ho may publish in the future.

Co-authorship network of co-authors of Low-Tone Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Low-Tone Ho. A scholar is included among the top collaborators of Low-Tone Ho 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 Low-Tone Ho. Low-Tone Ho 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.
Chen, Chin-Chang, et al.. (2016). Cannabinoid receptor type 1 mediates high-fat diet-induced insulin resistance by increasing forkhead box O1 activity in a mouse model of obesity. International Journal of Molecular Medicine. 37(3). 743–754. 16 indexed citations
2.
Chen, Chin-Chang, Tzung-Yan Lee, Ching‐Fai Kwok, et al.. (2015). Major urinary protein 1 interacts with cannabinoid receptor type 1 in fatty acid-induced hepatic insulin resistance in a mouse hepatocyte model. Biochemical and Biophysical Research Communications. 460(4). 1063–1068. 15 indexed citations
3.
Chou, Yu‐Ching, et al.. (2015). The Effect of Exercise on Lipid Profiles and Inflammatory Markers in Lean Male Adolescents: A Prospective Interventional Study. Journal of Investigative Medicine. 63(1). 29–34. 7 indexed citations
4.
Wu, Hung‐Yi, Keh-Ming Wu, Tze-Tze Liu, et al.. (2013). Correction: Generation and Analysis of the Expressed Sequence Tags from the Mycelium of Ganoderma lucidum. PLoS ONE. 8(9). 3 indexed citations
5.
Chang, Yi‐Cheng, Pi‐Hua Liu, Yen‐Feng Chiu, et al.. (2012). Genetic variation in the carbonyl reductase 3 gene confers risk of type 2 diabetes and insulin resistance: a potential regulator of adipogenesis. Journal of Molecular Medicine. 90(7). 847–858. 9 indexed citations
6.
Chen, Yu‐Ching, Shin‐Da Lee, Low-Tone Ho, & Chia‐Hua Kuo. (2011). The Effects of Altitude Training on the AMPK-Related Glucose Transport Pathway in the Red Skeletal Muscle of Both Lean and Obese Zucker Rats. High Altitude Medicine & Biology. 12(4). 371–378. 25 indexed citations
7.
Ho, Low-Tone, et al.. (2006). Plasma leptin response to oral glucose tolerance and fasting/re-feeding tests in rats with fructose-induced metabolic derangements. Life Sciences. 78(11). 1155–1162. 32 indexed citations
8.
Huang, Po‐Chao, et al.. (2006). Taiwanese vegetarians have higher insulin sensitivity than omnivores. British Journal Of Nutrition. 95(1). 129–135. 43 indexed citations
9.
Tang, Ren-Bin, et al.. (2005). A Longitudinal Study of Growth Patterns in Schoolchildren in One Taipei District II: Sitting Height, Arm Span, Body Mass Index and Skinfold Thickness. Journal of the Chinese Medical Association. 68(1). 16–20. 13 indexed citations
10.
Chuang, Lee‐Ming, Yen‐Feng Chiu, Wayne Huey‐Herng Sheu, et al.. (2004). Biethnic Comparisons of Autosomal Genomic Scan for Loci Linked to Plasma Adiponectin in Populations of Chinese and Japanese Origin. The Journal of Clinical Endocrinology & Metabolism. 89(11). 5772–5778. 35 indexed citations
11.
Tang, Ren-Bin, et al.. (2004). A longitudinal study of growth patterns in school children in Taipei area I: growth curve and height velocity curve.. PubMed. 67(2). 67–72. 20 indexed citations
12.
Hwu, Chii‐Min, et al.. (2002). Quantitative Vibration Perception Thresholds in Normal and Diabetic Chinese: Influence of Age, Height and Body Mass Index. Neuroepidemiology. 21(6). 271–278. 3 indexed citations
13.
Hwu, Chii‐Min, et al.. (2001). A comparison of insulin suppression tests performed with somatostatin and octreotide with particular reference to tolerability. Diabetes Research and Clinical Practice. 51(3). 187–193. 8 indexed citations
14.
Ranade, Koustubh, Kwan‐Dun Wu, Neil Risch, et al.. (2001). Genetic variation in aldosterone synthase predicts plasma glucose levels. Proceedings of the National Academy of Sciences. 98(23). 13219–13224. 54 indexed citations
15.
Juan, Chi‐Chang, et al.. (2001). Suppressed Gene Expression of Adipocyte Resistin in an Insulin-Resistant Rat Model Probably by Elevated Free Fatty Acids. Biochemical and Biophysical Research Communications. 289(5). 1328–1333. 91 indexed citations
16.
Juan, Chi‐Chang, et al.. (1998). Evidence that endothelin-1 (ET-1) inhibits insulin-stimulated glucose uptake in rat adipocytes mainly through ETa receptors. Metabolism. 47(12). 1468–1471. 31 indexed citations
17.
Shih, Kuang‐Chung, et al.. (1997). Acipimox attenuates hypertriglyceridemia in dyslipidemic noninsulin dependent diabetes mellitus patients without perturbation of insulin sensitivity and glycemic control. Diabetes Research and Clinical Practice. 36(2). 113–119. 25 indexed citations
18.
Hwu, Chii‐Min, Ching Fai Kwok, Kuang‐Chung Shih, et al.. (1997). Growth Hormone (GH) Replacement Reduces Total Body Fat and Normalizes Insulin Sensitivity in GH-Deficient Adults: A Report of One-Year Clinical Experience1. The Journal of Clinical Endocrinology & Metabolism. 82(10). 3285–3292. 94 indexed citations
19.
Ho, Low-Tone, et al.. (1995). Plasma Glucose and Insulin Concentration in Tilapia after Oral Administration of Glucose and Starch. Fisheries Science. 61(6). 986–988. 33 indexed citations
20.
Kwok, Ching Fai, Low-Tone Ho, & Tjin‐Shing Jap. (1993). Insulin-like growth factor-I receptor increases in aortic endothelial cells from diabetic rats. Metabolism. 42(11). 1381–1385. 5 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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