Harn-Shen Chen

542 total citations
30 papers, 390 citations indexed

About

Harn-Shen Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Harn-Shen Chen has authored 30 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Harn-Shen Chen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Pituitary Gland Disorders and Treatments (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Harn-Shen Chen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Pituitary Gland Disorders and Treatments (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Harn-Shen Chen collaborates with scholars based in Taiwan, United States and India. Harn-Shen Chen's co-authors include Yu‐Hsin Chen, Der‐Cherng Tarng, Tjin‐Shing Jap, Hong-Da Lin, Chii‐Min Hwu, Justin G.S. Won, Chin‐Sung Kuo, Liang‐Yu Lin, Tzeng‐Ji Chen and Shinn‐Jang Hwang and has published in prestigious journals such as PLoS ONE, Diabetes Care and Scientific Reports.

In The Last Decade

Harn-Shen Chen

29 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harn-Shen Chen Taiwan 11 217 71 69 59 56 30 390
Najlaa A. Ahmad Saudi Arabia 8 273 1.3× 33 0.5× 73 1.1× 90 1.5× 44 0.8× 8 493
Hans‐Peter Kempe Germany 8 181 0.8× 95 1.3× 55 0.8× 78 1.3× 41 0.7× 18 341
D. W. M. Pearson United Kingdom 12 216 1.0× 65 0.9× 17 0.2× 106 1.8× 31 0.6× 20 508
H.‐H. Parving Denmark 9 81 0.4× 37 0.5× 81 1.2× 69 1.2× 90 1.6× 9 330
Ferrán Rius Spain 13 239 1.1× 91 1.3× 30 0.4× 9 0.2× 82 1.5× 39 467
Amir Sharifuddin Md Khir Malaysia 12 230 1.1× 68 1.0× 29 0.4× 42 0.7× 34 0.6× 19 508
Naruto Horiuchi Japan 12 180 0.8× 148 2.1× 34 0.5× 31 0.5× 67 1.2× 22 480
Winston Crasto United Kingdom 8 201 0.9× 66 0.9× 62 0.9× 9 0.2× 24 0.4× 18 318
Sheila Bermejo Spain 13 81 0.4× 83 1.2× 158 2.3× 10 0.2× 41 0.7× 30 368
Paul A. Tomlinson New Zealand 13 211 1.0× 147 2.1× 128 1.9× 17 0.3× 23 0.4× 31 510

Countries citing papers authored by Harn-Shen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Harn-Shen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harn-Shen Chen. 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 Harn-Shen Chen. The network helps show where Harn-Shen Chen may publish in the future.

Co-authorship network of co-authors of Harn-Shen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Harn-Shen Chen. A scholar is included among the top collaborators of Harn-Shen Chen 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 Harn-Shen Chen. Harn-Shen Chen 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.
Yen, Hsi, Yi‐Hsuan Lin, Yen-Feng Wang, et al.. (2025). The association between metabolic syndrome components and cognitive function in community-dwelling middle-aged and older adults: the first wave result of a cohort study. Journal of Health Population and Nutrition. 44(1). 94–94.
2.
Lin, Yi‐Hsuan, Hsiao‐Ting Chang, Yen-Han Tseng, et al.. (2021). Changes in metabolic syndrome affect the health-related quality of life of community-dwelling adults. Scientific Reports. 11(1). 20267–20267. 16 indexed citations
3.
Chen, Harn-Shen, Chii‐Min Hwu, Kam‐Tsun Tang, et al.. (2020). Iodine nutritional status of pregnant women in an urban area of northern Taiwan in 2018. PLoS ONE. 15(5). e0233162–e0233162. 9 indexed citations
4.
5.
Hwu, Chii‐Min, et al.. (2019). Upstroke Time Per Cardiac Cycle is Associated with Cardiovascular Prognosis in Type 2 Diabetes. Endocrine Practice. 25(11). 1109–1116. 5 indexed citations
6.
Chiang, Shu‐Chiung, Ching‐Fai Kwok, Tzeng‐Ji Chen, et al.. (2018). The Shipai cohort for cardiovascular metabolic risk factors and outcome study — Design and preliminary results. Journal of the Chinese Medical Association. 81(10). 884–891. 5 indexed citations
7.
8.
Chen, Harn-Shen, et al.. (2017). Increased prevalence of proliferative retinopathy in patients with acromegaly. Journal of the Chinese Medical Association. 81(3). 230–235. 8 indexed citations
9.
Chen, Harn-Shen, et al.. (2017). Longer time to peak glucose during the oral glucose tolerance test increases cardiovascular risk score and diabetes prevalence. PLoS ONE. 12(12). e0189047–e0189047. 10 indexed citations
10.
Chen, Harn-Shen, et al.. (2016). Iodine Nutritional Status of School Children in Nauru 2015. Nutrients. 8(9). 520–520. 9 indexed citations
11.
Chen, Yu‐Hsin, Der‐Cherng Tarng, & Harn-Shen Chen. (2016). Renal Outcomes of Pioglitazone Compared with Acarbose in Diabetic Patients: A Randomized Controlled Study. PLoS ONE. 11(11). e0165750–e0165750. 12 indexed citations
12.
Lin, Hong-Da, et al.. (2015). The ankle brachial index is associated with prognosis in patients with diabetic kidney disease. Diabetes Research and Clinical Practice. 108(2). 316–322. 4 indexed citations
13.
Chen, Yu‐Hsin, et al.. (2014). Effects of glucose and blood pressure control on diabetic kidney disease in old patients with type 2 diabetes. Diabetology & Metabolic Syndrome. 6(1). 81–81. 5 indexed citations
14.
Chen, Yu‐Hsin, Harn-Shen Chen, & Der‐Cherng Tarng. (2012). More Impact of Microalbuminuria on Retinopathy Than Moderately Reduced GFR Among Type 2 Diabetic Patients. Diabetes Care. 35(4). 803–808. 75 indexed citations
15.
Chang, Tien‐Jyun, Pi‐Hua Liu, Yi‐Cheng Chang, et al.. (2011). Genetic predisposition and nongenetic risk factors of thiazolidinedione-related edema in patients with type 2 diabetes. Pharmacogenetics and Genomics. 21(12). 829–836. 17 indexed citations
16.
Lin, Hong-Da, et al.. (2010). The role of insulin-like growth factor-1 and growth hormone in the mortality of patients with acromegaly after trans-sphenoidal surgery. Growth Hormone & IGF Research. 20(6). 411–415. 11 indexed citations
17.
Chen, Harn-Shen, et al.. (2010). Hemoglobin A1c and Fructosamine for Assessing Glycemic Control in Diabetic Patients With CKD Stages 3 and 4. American Journal of Kidney Diseases. 55(5). 867–874. 44 indexed citations
18.
Chen, Harn-Shen, et al.. (2008). Effects of health education on glycemic control during holiday time in patients with type 2 diabetes mellitus.. PubMed. 14(1). 45–51. 22 indexed citations
19.
Yang, An-Hang, et al.. (2006). Anaplastic Thyroid Cancer with Uncommon Long-term Survival. Journal of the Chinese Medical Association. 69(10). 489–491. 8 indexed citations
20.
Chen, Harn-Shen, et al.. (2006). Decrease Heart Rate Variability But Preserve Postural Blood Pressure Change in Type 2 Diabetes with Microalbuminuria. Journal of the Chinese Medical Association. 69(6). 254–258. 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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