Chi-Pang Wen

3.8k total citations · 2 hit papers
14 papers, 2.5k citations indexed

About

Chi-Pang Wen is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Surgery. According to data from OpenAlex, Chi-Pang Wen has authored 14 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Chi-Pang Wen's work include Air Quality and Health Impacts (2 papers), Smoking Behavior and Cessation (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Chi-Pang Wen is often cited by papers focused on Air Quality and Health Impacts (2 papers), Smoking Behavior and Cessation (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Chi-Pang Wen collaborates with scholars based in Taiwan, United States and Australia. Chi-Pang Wen's co-authors include Josef Coresh, Marcello Tonelli, Kunihiro Matsushita, Mark Woodward, Kazumasa Yamagishi, Paul E. de Jong, John Chalmers, Robert M. Perkins, Henk J.G. Bilo and Brian J. Lee and has published in prestigious journals such as The Lancet, JAMA and Scientific Reports.

In The Last Decade

Chi-Pang Wen

14 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis

2012 976 citations Caroline S. Fox, Kunihiro Matsushita et al. The Lancet profile →
Comparison of Risk Prediction Using the CKD-EPI Equation and the MDRD Study Equation for Estimated Glomerular Filtration Rate

2012 740 citations Kunihiro Matsushita, Bakhtawar K. Mahmoodi et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chi-Pang Wen Taiwan	14	932	540	466	463	336	14	2.5k
Marinella Ruospo Italy	31	1.3k 1.3×	365 0.7×	412 0.9×	350 0.8×	246 0.7×	69	2.7k
Koichi Asahi Japan	29	987 1.1×	450 0.8×	513 1.1×	180 0.4×	423 1.3×	138	2.5k
Susan Steigerwalt United States	27	1.1k 1.1×	1.2k 2.3×	307 0.7×	363 0.8×	197 0.6×	55	2.5k
Li Fan China	22	531 0.6×	635 1.2×	297 0.6×	275 0.6×	222 0.7×	120	2.0k
Philip A. McFarlane Canada	28	1.3k 1.4×	205 0.4×	390 0.8×	387 0.8×	222 0.7×	76	2.5k
Esther M. Briganti Australia	23	1.1k 1.2×	476 0.9×	537 1.2×	382 0.8×	232 0.7×	38	2.8k
Hajeong Lee South Korea	31	1.4k 1.5×	424 0.8×	286 0.6×	551 1.2×	468 1.4×	257	3.7k
Song Vogue Ahn South Korea	25	432 0.5×	344 0.6×	349 0.7×	184 0.4×	464 1.4×	74	1.6k
Tsuneo Konta Japan	32	1.3k 1.4×	1.0k 1.9×	450 1.0×	607 1.3×	549 1.6×	205	3.8k
Fatma Nurhan Özdemir Türkiye	29	1.2k 1.2×	328 0.6×	221 0.5×	427 0.9×	559 1.7×	205	3.1k

Countries citing papers authored by Chi-Pang Wen

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Pang Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Pang Wen. 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 Chi-Pang Wen. The network helps show where Chi-Pang Wen may publish in the future.

Co-authorship network of co-authors of Chi-Pang Wen

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Xie, Kunlin, Hong Wu, Yong Zeng, et al.. (2019). Loss of Life Expectancy by 10 Years or More From Elevated Aspartate Aminotransferase: Finding Aspartate Aminotransferase a Better Mortality Predictor for All-Cause and Liver-Related than Alanine Aminotransferase. The American Journal of Gastroenterology. 114(9). 1478–1487. 38 indexed citations

Sanna, Mattia, Wayne Gao, Ya-Wen Chiu, et al.. (2018). Tobacco control within and beyond WHO MPOWER: outcomes from Taiwan SimSmoke. Tobacco Control. 29(1). 36–42. 14 indexed citations

Mehrtash, Hedieh, Kalina Duncan, Mark Parascandola, et al.. (2017). Defining a global research and policy agenda for betel quid and areca nut. The Lancet Oncology. 18(12). e767–e775. 146 indexed citations

Tu, Huakang, John V. Heymach, Chi-Pang Wen, et al.. (2016). Different dietary patterns and reduction of lung cancer risk: A large case-control study in the U.S.. Scientific Reports. 6(1). 26760–26760. 22 indexed citations

Shih, Chun-Chuan, Chien‐Chang Liao, Mao‐Feng Sun, et al.. (2015). A Retrospective Cohort Study Comparing Stroke Recurrence Rate in Ischemic Stroke Patients With and Without Acupuncture Treatment. Medicine. 94(39). e1572–e1572. 52 indexed citations

Sun, Wenjie, Chi-Pang Wen, Jie Lin, et al.. (2015). ABO blood types and cancer risk—A cohort study of 339,432 subjects in Taiwan. Cancer Epidemiology. 39(2). 150–156. 29 indexed citations

Wen, Chi-Pang, Fanmao Zhang, Dong Liang, et al.. (2014). The Ability of Bilirubin in Identifying Smokers with Higher Risk of Lung Cancer: A Large Cohort Study in Conjunction with Global Metabolomic Profiling. Clinical Cancer Research. 21(1). 193–200. 50 indexed citations

Matsushita, Kunihiro, Bakhtawar K. Mahmoodi, Mark Woodward, et al.. (2012). Comparison of Risk Prediction Using the CKD-EPI Equation and the MDRD Study Equation for Estimated Glomerular Filtration Rate. JAMA. 307(18). 1941–51. 740 indexed citations breakdown →

Fox, Caroline S., Kunihiro Matsushita, Mark Woodward, et al.. (2012). Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis. The Lancet. 380(9854). 1662–1673. 976 indexed citations breakdown →

10.

Wen, Chi-Pang, Ting‐Yuan David Cheng, Yen‐Chen Chang, et al.. (2011). Attributable mortality burden of metabolic syndrome: comparison with its individual components. European Journal of Cardiovascular Prevention & Rehabilitation. 18(4). 561–573. 18 indexed citations

11.

Wen, Chi-Pang, et al.. (2010). The reduction of tuberculosis risks by smoking cessation. BMC Infectious Diseases. 10(1). 156–156. 62 indexed citations

12.

Lan, Tzuo-Yun, Tsuo‐Hung Lan, Chi-Pang Wen, Yu‐Hsuan Lin, & Yi-Li Chuang. (2007). Nighttime Sleep, Chinese Afternoon Nap, and Mortality in the Elderly. SLEEP. 30(9). 1105–1110. 133 indexed citations

13.

Lin, Ro‐Ting, Ken Takahashi, Antti Karjalainen, et al.. (2007). Ecological association between asbestos-related diseases and historical asbestos consumption: an international analysis. The Lancet. 369(9564). 844–849. 175 indexed citations

14.

Wen, Chi-Pang, Shan P. Tsai, Chien‐Jen Chen, & Ting‐Yuan David Cheng. (2004). The mortality risks of smokers in Taiwan. Preventive Medicine. 39(3). 528–535. 63 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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