Pei-Fang Su

2.7k total citations
41 papers, 690 citations indexed

About

Pei-Fang Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pei-Fang Su has authored 41 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pei-Fang Su's work include Renal cell carcinoma treatment (2 papers), Bayesian Methods and Mixture Models (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Pei-Fang Su is often cited by papers focused on Renal cell carcinoma treatment (2 papers), Bayesian Methods and Mixture Models (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Pei-Fang Su collaborates with scholars based in Taiwan, United States and China. Pei-Fang Su's co-authors include Yu Shyr, Huang‐Tz Ou, Shihchen Kuo, Chung-I Li, Chien‐Hung Chen, Sheng‐Nan Lu, Chung-Ta Lee, Peng-Chan Lin, Nan-Haw Chow and Chuan-Mo Lee and has published in prestigious journals such as Nature, PLoS ONE and Diabetes Care.

In The Last Decade

Pei-Fang Su

41 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei-Fang Su Taiwan 15 245 118 116 74 58 41 690
Jing Shao China 15 301 1.2× 42 0.4× 114 1.0× 78 1.1× 64 1.1× 42 661
Shuling Liu China 15 128 0.5× 133 1.1× 177 1.5× 39 0.5× 26 0.4× 36 660
Yi Ma China 13 162 0.7× 49 0.4× 86 0.7× 29 0.4× 35 0.6× 54 605
Kendal Jensen United States 11 141 0.6× 85 0.7× 96 0.8× 45 0.6× 81 1.4× 21 680
Chiharu Ito Japan 18 315 1.3× 156 1.3× 85 0.7× 82 1.1× 38 0.7× 62 1.2k
Lydia Coulter Kwee United States 17 410 1.7× 34 0.3× 161 1.4× 72 1.0× 68 1.2× 45 990
Jialin Zhang China 15 128 0.5× 157 1.3× 124 1.1× 39 0.5× 50 0.9× 59 625

Countries citing papers authored by Pei-Fang Su

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Fang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Fang Su. 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 Pei-Fang Su. The network helps show where Pei-Fang Su may publish in the future.

Co-authorship network of co-authors of Pei-Fang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Fang Su. A scholar is included among the top collaborators of Pei-Fang Su 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 Pei-Fang Su. Pei-Fang Su 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, Pisin, et al.. (2025). Prognostic Impacts of Depression and Inflammatory Factors in Pancreatic Cancer Patients. PubMed. 87(2). 146–152. 2 indexed citations
2.
Chou, Po‐Hsin, et al.. (2021). Assessment of sagittal spinopelvic parameters in a Taiwanese population with spondylolysis by the EOS imaging system: a retrospective radiological analysis. BMC Musculoskeletal Disorders. 22(1). 553–553. 3 indexed citations
3.
Wu, Meng‐Hsing, et al.. (2020). Quality of life among infertile women with endometriosis undergoing IVF treatment and their pregnancy outcomes. Journal of Psychosomatic Obstetrics & Gynecology. 42(1). 57–66. 13 indexed citations
4.
Su, Pei-Fang, et al.. (2020). Comparative predictive ability of visit-to-visit HbA1c variability measures for microvascular disease risk in type 2 diabetes. Cardiovascular Diabetology. 19(1). 105–105. 40 indexed citations
5.
Su, Pei-Fang, et al.. (2020). Association of ambient air pollution with cardiovascular disease risks in people with type 2 diabetes: a Bayesian spatial survival analysis. Environmental Health. 19(1). 110–110. 15 indexed citations
7.
Hung, H Y, Pei-Fang Su, Meng‐Hsing Wu, & Ying‐Ju Chang. (2020). Status and related factors of depression, perceived stress, and distress of women at home rest with threatened preterm labor and women with healthy pregnancy in Taiwan. Journal of Affective Disorders. 280(Pt A). 156–166. 6 indexed citations
8.
Fang, Jing‐Jing, et al.. (2019). Analysis of a customized cervical collar to improve neck posture during smartphone usage: a comparative study in healthy subjects. European Spine Journal. 28(8). 1793–1803. 15 indexed citations
9.
Su, Pei-Fang, et al.. (2019). Quality of life and pregnancy outcomes among women undergoing in vitro fertilization treatment: A longitudinal cohort study. Journal of the Formosan Medical Association. 119(1). 471–479. 7 indexed citations
10.
Tang, Hsin‐Yi, et al.. (2018). Functional Status in Older Intensive Care Unit Survivors. Clinical Nursing Research. 29(1). 5–12. 4 indexed citations
11.
Hung, H Y, et al.. (2018). Variations in the rancid-flavor compounds of human breastmilk under general frozen-storage conditions. BMC Pediatrics. 18(1). 94–94. 16 indexed citations
12.
Lee, Chung-Ta, Liang‐Yi Hung, Nan-Haw Chow, et al.. (2017). Serrated adenocarcinoma morphology in colorectal mucinous adenocarcinoma is associated with improved patient survival. Oncotarget. 8(21). 35165–35175. 14 indexed citations
13.
Su, Pei-Fang, et al.. (2017). Stiffness Effects in Rocker-Soled Shoes: Biomechanical Implications. PLoS ONE. 12(1). e0169151–e0169151. 16 indexed citations
14.
Su, Pei-Fang. (2016). Power and sample size calculation for the additive hazard model. Journal of Biopharmaceutical Statistics. 27(4). 571–583. 2 indexed citations
15.
Chen, Chien‐Hung, Chao‐Hung Hung, Tsung‐Hui Hu, et al.. (2015). Association Between Level of Hepatitis B Surface Antigen and Relapse After Entecavir Therapy for Chronic Hepatitis B Virus Infection. Clinical Gastroenterology and Hepatology. 13(11). 1984–1992.e1. 77 indexed citations
16.
Shen, En-Zhi, Wenhong Zhang, Pei-Fang Su, et al.. (2014). Mitoflash frequency in early adulthood predicts lifespan in Caenorhabditis elegans. Nature. 508(7494). 128–132. 109 indexed citations
17.
Reddy, Vishruth K., et al.. (2013). Percutaneous Stereotactic Radiofrequency Lesioning for Trigeminal Neuralgia. Neurosurgery. 74(3). 262–266. 10 indexed citations
18.
Li, Chung-I, Pei-Fang Su, & Yu Shyr. (2013). Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data. BMC Bioinformatics. 14(1). 357–357. 32 indexed citations
19.
Abramson, Richard G., Pei-Fang Su, & Yu Shyr. (2012). Quantitative metrics in clinical radiology reporting: a snapshot perspective from a single mixed academic-community practice. Magnetic Resonance Imaging. 30(9). 1357–1366. 5 indexed citations
20.
Wu, Chia-Chun, et al.. (2007). A Prospective Study to Compare Subcutaneously Buried Peritoneal Dialysis Catheter Technique with Conventional Technique. Blood Purification. 25(3). 229–232. 12 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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