Feng‐Ping Lu

585 total citations
11 papers, 399 citations indexed

About

Feng‐Ping Lu is a scholar working on Geriatrics and Gerontology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Feng‐Ping Lu has authored 11 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geriatrics and Gerontology, 4 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Feng‐Ping Lu's work include Frailty in Older Adults (7 papers), Chronic Disease Management Strategies (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Feng‐Ping Lu is often cited by papers focused on Frailty in Older Adults (7 papers), Chronic Disease Management Strategies (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Feng‐Ping Lu collaborates with scholars based in Taiwan, Albania and China. Feng‐Ping Lu's co-authors include Kun‐Pei Lin, Hsu‐Ko Kuo, Shwu‐Chong Wu, Wen‐Chiung Chang, Ding‐Cheng Chan, Jen‐Hau Chen, Chiung‐Jung Wen, Yung‐Ming Chen, Meng-Chen Wu and Yi‐Chun Chou and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Geriatrics.

In The Last Decade

Feng‐Ping Lu

11 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Ping Lu Taiwan 8 115 99 98 79 77 11 399
William Molloy Ireland 14 64 0.6× 78 0.8× 167 1.7× 91 1.2× 68 0.9× 32 611
Valeria Nativio Italy 10 104 0.9× 170 1.7× 65 0.7× 26 0.3× 88 1.1× 15 500
Camilla Prete Italy 10 171 1.5× 79 0.8× 51 0.5× 229 2.9× 58 0.8× 15 542
Sonali N. Shah United States 12 34 0.3× 113 1.1× 150 1.5× 54 0.7× 47 0.6× 19 499
Robin Flaig United Kingdom 5 143 1.2× 103 1.0× 95 1.0× 26 0.3× 137 1.8× 12 647
Piera Ranieri Italy 9 88 0.8× 129 1.3× 26 0.3× 64 0.8× 32 0.4× 16 606
Miri Lutski Israel 12 81 0.7× 43 0.4× 103 1.1× 31 0.4× 79 1.0× 38 453
Laura Vernuccio Italy 10 108 0.9× 106 1.1× 22 0.2× 30 0.4× 46 0.6× 20 460
Greg A. Dore United States 13 117 1.0× 121 1.2× 66 0.7× 21 0.3× 84 1.1× 16 598

Countries citing papers authored by Feng‐Ping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Ping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Ping Lu. 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 Feng‐Ping Lu. The network helps show where Feng‐Ping Lu may publish in the future.

Co-authorship network of co-authors of Feng‐Ping Lu

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

All Works

11 of 11 papers shown
1.
Chen, Yung‐Ming, Chiung‐Jung Wen, Meng-Chen Wu, et al.. (2023). Multimorbidity and prior falls correlate with risk of 30-day hospital readmission in aged 80+: A prospective cohort study. Journal of the Formosan Medical Association. 122(11). 1111–1116. 2 indexed citations
2.
Lin, Kun‐Pei, Jen‐Hau Chen, Feng‐Ping Lu, et al.. (2023). Prediction of adverse health outcomes using an electronic frailty index among nonfrail and prefrail community elders. BMC Geriatrics. 23(1). 474–474. 7 indexed citations
3.
Chou, Yi‐Chun, Hsiao‐Hui Tsou, Ding‐Cheng Chan, et al.. (2022). Validation of clinical frailty scale in Chinese translation. BMC Geriatrics. 22(1). 604–604. 23 indexed citations
4.
Chou, Yu‐Hsiang, Feng‐Ping Lu, Jen‐Hau Chen, et al.. (2021). Restoration of dysnatremia and acute kidney injury benefits outcomes of acute geriatric inpatients. Scientific Reports. 11(1). 2 indexed citations
5.
Lin, Kun‐Pei, et al.. (2019). Effects of depression, dementia and delirium on activities of daily living in elderly patients after discharge. BMC Geriatrics. 19(1). 261–261. 23 indexed citations
6.
Lin, Kun‐Pei, Jen‐Hau Chen, Feng‐Ping Lu, Chiung‐Jung Wen, & Ding‐Cheng Chan. (2019). The impact of early comprehensive geriatric screening on the readmission rate in an acute geriatric ward: a quasi-experimental study. BMC Geriatrics. 19(1). 285–285. 10 indexed citations
7.
Lu, Feng‐Ping, Wen‐Chiung Chang, & Shwu‐Chong Wu. (2015). Geriatric conditions, rather than multimorbidity, as predictors of disability and mortality among octogenarians: A population‐based cohort study. Geriatrics and gerontology international. 16(3). 345–351. 24 indexed citations
8.
Chang, Wen‐Chiung, et al.. (2012). Multidimensional health‐transition patterns among a middle‐aged and older population. Geriatrics and gerontology international. 13(3). 571–579. 18 indexed citations
9.
Lu, Feng‐Ping, Ding‐Cheng Chan, Hsu‐Ko Kuo, & Shwu‐Chong Wu. (2012). Sex differences in the impact of diabetes on the risk of geriatric conditions. Geriatrics and gerontology international. 13(1). 116–122. 12 indexed citations
10.
Lu, Feng‐Ping, Kun‐Pei Lin, & Hsu‐Ko Kuo. (2009). Diabetes and the Risk of Multi-System Aging Phenotypes: A Systematic Review and Meta-Analysis. PLoS ONE. 4(1). e4144–e4144. 277 indexed citations
11.
Lu, Feng‐Ping. (2009). On Strengthen of College English Teacher's Guiding Function in Quality Education. 1 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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