Mei‐Fen Pai

2.1k total citations
48 papers, 1.3k citations indexed

About

Mei‐Fen Pai is a scholar working on Nephrology, Surgery and Dermatology. According to data from OpenAlex, Mei‐Fen Pai has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nephrology, 12 papers in Surgery and 8 papers in Dermatology. Recurrent topics in Mei‐Fen Pai's work include Dialysis and Renal Disease Management (25 papers), Parathyroid Disorders and Treatments (11 papers) and Dermatology and Skin Diseases (8 papers). Mei‐Fen Pai is often cited by papers focused on Dialysis and Renal Disease Management (25 papers), Parathyroid Disorders and Treatments (11 papers) and Dermatology and Skin Diseases (8 papers). Mei‐Fen Pai collaborates with scholars based in Taiwan, United States and South Sudan. Mei‐Fen Pai's co-authors include Yu‐Sen Peng, Shih‐Ping Hsu, Ju‐Yeh Yang, Hung‐Yuan Chen, Yen‐Ling Chiu, Hon‐Yen Wu, Kuan‐Yu Hung, Tun‐Jun Tsai, Kwan‐Dun Wu and Chun‐Fu Lai and has published in prestigious journals such as PLoS ONE, Diabetes Care and Scientific Reports.

In The Last Decade

Mei‐Fen Pai

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei‐Fen Pai Taiwan 22 524 324 253 196 182 48 1.3k
Ju‐Yeh Yang Taiwan 22 545 1.0× 280 0.9× 212 0.8× 223 1.1× 158 0.9× 59 1.4k
Shih‐Ping Hsu Taiwan 19 495 0.9× 319 1.0× 166 0.7× 245 1.3× 72 0.4× 39 1.1k
Hung‐Yuan Chen Taiwan 16 334 0.6× 245 0.8× 126 0.5× 137 0.7× 96 0.5× 37 901
Hüseyin Atalay Türkiye 16 224 0.4× 72 0.2× 117 0.5× 88 0.4× 61 0.3× 44 660
Effat Razeghi Iran 17 174 0.3× 102 0.3× 255 1.0× 89 0.5× 27 0.1× 51 801
Sabrina Mai Nielsen Denmark 22 122 0.2× 176 0.5× 153 0.6× 366 1.9× 16 0.1× 75 1.2k
Zeynep Bıyık Türkiye 14 167 0.3× 63 0.2× 97 0.4× 106 0.5× 41 0.2× 42 514
Puja Khanna United States 19 146 0.3× 123 0.4× 169 0.7× 355 1.8× 15 0.1× 44 1.2k
Kamıl Dilek Türkiye 17 226 0.4× 27 0.1× 84 0.3× 148 0.8× 19 0.1× 63 846
Maria Szczepańska Poland 19 469 0.9× 72 0.2× 180 0.7× 105 0.5× 4 0.0× 130 1.2k

Countries citing papers authored by Mei‐Fen Pai

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Fen Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Fen Pai. 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 Mei‐Fen Pai. The network helps show where Mei‐Fen Pai may publish in the future.

Co-authorship network of co-authors of Mei‐Fen Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Fen Pai. A scholar is included among the top collaborators of Mei‐Fen Pai 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 Mei‐Fen Pai. Mei‐Fen Pai 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.
Ko, Mei‐Ju, Chun‐Hsing Liao, Yen‐Ling Chiu, et al.. (2025). Gut microbial signatures associated with uremic pruritus in hemodialysis patients. Journal of Microbiology Immunology and Infection. 58(4). 479–485.
2.
3.
Wu, Hon‐Yen, Yi‐Tsung Lin, Wan‐Chuan Tsai, et al.. (2022). Microbiota analysis in the hemodialysis population - Focusing on Enterobacteriaceae. Journal of Microbiology Immunology and Infection. 56(2). 311–323. 11 indexed citations
4.
Yang, Ju‐Yeh, Jenq‐Wen Huang, Likwang Chen, et al.. (2017). Frequency of Early Predialysis Nephrology Care and Postdialysis Cardiovascular Events. American Journal of Kidney Diseases. 70(2). 164–172. 16 indexed citations
5.
Wu, Hon‐Yen, Yu‐Sen Peng, Hung‐Yuan Chen, et al.. (2016). A Comparison of Uremic Pruritus in Patients Receiving Peritoneal Dialysis and Hemodialysis. Medicine. 95(9). e2935–e2935. 47 indexed citations
6.
Chen, Hung‐Yuan, Shih‐Ping Hsu, Mei‐Fen Pai, et al.. (2016). Reappraisal of effects of serum chemerin and adiponectin levels and nutritional status on cardiovascular outcomes in prevalent hemodialysis patients. Scientific Reports. 6(1). 34128–34128. 4 indexed citations
7.
Tsai, Wan‐Chuan, Yu‐Sen Peng, Yen‐Ling Chiu, et al.. (2015). Risk factors for severe hypocalcemia after parathyroidectomy in prevalent dialysis patients with secondary hyperparathyroidism. International Urology and Nephrology. 47(7). 1203–1207. 31 indexed citations
8.
Ko, Mei‐Ju, Yu‐Sen Peng, Hung‐Yuan Chen, et al.. (2014). Interleukin-31 is associated with uremic pruritus in patients receiving hemodialysis. Journal of the American Academy of Dermatology. 71(6). 1151–1159.e1. 92 indexed citations
9.
Ko, Mei‐Ju, Hon‐Yen Wu, Hung‐Yuan Chen, et al.. (2013). Correction: Uremic Pruritus, Dialysis Adequacy, and Metabolic Profiles in Hemodialysis Patients: A Prospective 5-Year Cohort Study. PLoS ONE. 8(10). 13 indexed citations
10.
Chang, Jia‐Feng, Shih-Ping Hsu, Mei‐Fen Pai, et al.. (2013). High soluble vascular cell adhesion molecule-1 concentrations predict long-term mortality in hemodialysis patients. International Urology and Nephrology. 45(6). 1693–1701. 9 indexed citations
11.
Chen, Hung‐Yuan, Chien‐Chu Lin, Shih‐Ping Hsu, et al.. (2012). Serum Fetuin A and Chemerin Levels Correlate with Hepatic Steatosis and Regional Adiposity in Maintenance Hemodialysis Patients. PLoS ONE. 7(7). e38415–e38415. 18 indexed citations
12.
Chen, Hung‐Yuan, Yi‐Ju Pan, Yen‐Ling Chiu, et al.. (2011). Cognitive-behavioral therapy for sleep disturbance decreases inflammatory cytokines and oxidative stress in hemodialysis patients. Kidney International. 80(4). 415–422. 104 indexed citations
13.
Chen, Huan‐Sheng, Yen‐Ling Chiu, Shih‐Ping Hsu, et al.. (2010). Elevated C-reactive protein level in hemodialysis patients with moderate/severe uremic pruritus: a potential mediator of high overall mortality. QJM. 103(11). 837–846. 56 indexed citations
14.
Chiu, Yen‐Ling, Yu-Fen Chuang, Hsiang‐Yin Chen, et al.. (2008). Higher systemic inflammation is associated with poorer sleep quality in stable haemodialysis patients. Nephrology Dialysis Transplantation. 24(1). 247–251. 85 indexed citations
15.
Yang, Shao‐Yu, Chih‐Kang Chiang, Shih-Ping Hsu, et al.. (2007). Metabolic Syndrome Predicts Hospitalization in Hemodialysis Patients: A Prospective Asian Cohort Study. Blood Purification. 25(3). 252–259. 23 indexed citations
16.
Pai, Mei‐Fen, et al.. (2006). Emergency department presentation of chronic peritoneal dialysis patients. Dialysis & Transplantation. 35(2). 84–87. 2 indexed citations
17.
Chiang, Chih‐Kang, Shih-Ping Hsu, Yu‐Sen Peng, et al.. (2005). Low-Density Lipoprotein Cholesterol: Association with Mortality and Hospitalization in Hemodialysis Patients. Blood Purification. 23(2). 134–140. 29 indexed citations
18.
Peng, Yu‐Sen, Chih‐Kang Chiang, Shih-Ping Hsu, et al.. (2005). Influence of Hepatitis C Virus Infection on Soluble Cellular Adhesion Molecules in Hemodialysis Patients. Blood Purification. 23(2). 106–112. 13 indexed citations
19.
Chiang, Chih‐Kang, Shih-Ping Hsu, Mei‐Fen Pai, et al.. (2005). Plasma Interleukin-18 Levels in Chronic Renal Failure and Continuous Ambulatory Peritoneal Dialysis. Blood Purification. 23(2). 144–148. 25 indexed citations
20.
Pai, Mei‐Fen, Shih‐Ping Hsu, Yu‐Sen Peng, Kuan‐Yu Hung, & Tun‐Jun Tsai. (2004). Hemorrhagic Stroke in Chronic Dialysis Patients. Renal Failure. 26(2). 165–170. 7 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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