Lap‐Ming Wun

1.1k total citations
20 papers, 719 citations indexed

About

Lap‐Ming Wun is a scholar working on Economics and Econometrics, General Health Professions and Oncology. According to data from OpenAlex, Lap‐Ming Wun has authored 20 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 5 papers in General Health Professions and 5 papers in Oncology. Recurrent topics in Lap‐Ming Wun's work include Healthcare Policy and Management (8 papers), Global Cancer Incidence and Screening (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Lap‐Ming Wun is often cited by papers focused on Healthcare Policy and Management (8 papers), Global Cancer Incidence and Screening (5 papers) and Colorectal Cancer Screening and Detection (4 papers). Lap‐Ming Wun collaborates with scholars based in United States, Australia and India. Lap‐Ming Wun's co-authors include Eric J. Feuer, W. Dana Flanders, T. Tong, C. C. Boring, Ray M. Merrill, Barry A. Miller, Trena M. Ezzati‐Rice, Steven B. Cohen, Wen Lea Pearn and Larry G. Kessler and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, American Journal of Epidemiology and Statistics in Medicine.

In The Last Decade

Lap‐Ming Wun

19 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lap‐Ming Wun United States 10 330 159 153 82 71 20 719
Liesbeth Bergman Netherlands 7 311 0.9× 302 1.9× 239 1.6× 79 1.0× 63 0.9× 10 802
K. C. Chu China 8 631 1.9× 114 0.7× 197 1.3× 89 1.1× 50 0.7× 10 914
Susan Braun United States 11 419 1.3× 249 1.6× 167 1.1× 26 0.3× 49 0.7× 19 755
Electra D. Paskett United States 6 576 1.7× 177 1.1× 221 1.4× 56 0.7× 64 0.9× 11 810
R. T. Chlebowski United States 11 465 1.4× 210 1.3× 320 2.1× 151 1.8× 36 0.5× 21 915
P Murray United Kingdom 10 439 1.3× 61 0.4× 130 0.8× 93 1.1× 48 0.7× 15 682
Fiona McKenzie France 18 584 1.8× 99 0.6× 130 0.8× 108 1.3× 128 1.8× 31 1.0k
Ahmed A. Zeeneldin Egypt 16 266 0.8× 63 0.4× 145 0.9× 73 0.9× 28 0.4× 43 588
Whay Kuang Chia Singapore 13 386 1.2× 48 0.3× 147 1.0× 76 0.9× 69 1.0× 19 785
Polly S. Y. Cheung Hong Kong 11 403 1.2× 110 0.7× 255 1.7× 132 1.6× 16 0.2× 23 743

Countries citing papers authored by Lap‐Ming Wun

Since Specialization
Citations

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

Fields of papers citing papers by Lap‐Ming Wun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap‐Ming Wun. 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 Lap‐Ming Wun. The network helps show where Lap‐Ming Wun may publish in the future.

Co-authorship network of co-authors of Lap‐Ming Wun

This figure shows the co-authorship network connecting the top 25 collaborators of Lap‐Ming Wun. A scholar is included among the top collaborators of Lap‐Ming Wun 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 Lap‐Ming Wun. Lap‐Ming Wun 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.
Wun, Lap‐Ming, et al.. (2015). Primary Intra-Abdominal Hypertension and Abdominal Compartment Syndrome: Pathophysiology and Treatment. 1(2). 46–64. 6 indexed citations
2.
Machlin, Steven R., et al.. (2012). Linking Medical Expenditure Panel Survey to the National Health Interview Survey: Weighting and Estimation. 8 indexed citations
3.
Wun, Lap‐Ming, et al.. (2009). Assessment and Evaluation of Nonresponse Error in the Medical Expenditure Panel Survey (MEPS): Assessing Nonresponse Bias Reduction in MEPS 1. 3 indexed citations
4.
Wun, Lap‐Ming, et al.. (2007). On modelling response propensity for dwelling unit (DU) level non‐response adjustment in the Medical Expenditure Panel Survey (MEPS). Statistics in Medicine. 26(8). 1875–1884. 22 indexed citations
5.
Cohen, Steven B. & Lap‐Ming Wun. (2005). A comparison of household and medical provider reported health care utilization and an estimation strategy to correct for response error. Journal of Economic and Social Measurement. 30(2-3). 115–126. 6 indexed citations
6.
Wun, Lap‐Ming, et al.. (2004). Using Propensity Scores to Adjust Weights to Compensate for Dwelling Unit Level Nonresponse in the Medical Expenditure Panel Survey. 3 indexed citations
7.
Moeller, John F., Steven B. Cohen, Nancy A. Mathiowetz, & Lap‐Ming Wun. (2003). Regression-Based Sampling for Persons with High Health Expenditures: Evaluating Accuracy and Yield with the 1997 MEPS. Medical Care. 41(Supplement). III–44. 12 indexed citations
8.
Moeller, John F., Steven B. Cohen, Nancy A. Mathiowetz, & Lap‐Ming Wun. (2003). Regression-Based Sampling for Persons with High Health Expenditures: Evaluating Accuracy and Yield with the 1997 MEPS. Medical Care. 41. III–44–III–52. 3 indexed citations
9.
Ezzati‐Rice, Trena M., et al.. (2003). An Evaluation of Nonresponse Adjustment Cells for the Household Component of the Medical Expenditure Panel Survey (MEPS) 1. 3 indexed citations
10.
Moeller, John, Steven B. Cohen, Nancy A. Mathiowetz, & Lap‐Ming Wun. (2003). . Medical Care. 41(7). III–44. 3 indexed citations
11.
Wun, Lap‐Ming, Ray M. Merrill, & Eric J. Feuer. (1998). Estimating Lifetime and Age-Conditional Probabilities of Developing Cancer. Lifetime Data Analysis. 4(2). 169–186. 62 indexed citations
12.
Wun, Lap‐Ming, Eric J. Feuer, & Barry A. Miller. (1995). Are increases in mammographic screening still a valid explanation for trends in breast cancer incidence in the United States?. Cancer Causes & Control. 6(2). 135–144. 42 indexed citations
13.
Feuer, Eric J., et al.. (1994). Cohort-Specific Risks of Developing Breast Cancer to Age 85 in Connecticut. Epidemiology. 5(3). 290–296. 12 indexed citations
14.
Feuer, Eric J., et al.. (1993). The Lifetime Risk of Developing Breast Cancer. JNCI Journal of the National Cancer Institute. 85(11). 892–897. 387 indexed citations
15.
Kessler, Larry G., et al.. (1993). The Cancer Information Service Telephone Evaluation and Reporting System (CISTERS): a new tool for assessing quality assurance.. PubMed. 61–5. 17 indexed citations
16.
Wun, Lap‐Ming & Charles Brown. (1993). An alternative decision rule for quality control in sequential sampling plans. Communication in Statistics- Theory and Methods. 22(7). 2033–2042.
17.
Feuer, Eric J. & Lap‐Ming Wun. (1992). How Much of the Recent Rise in Breast Cancer Incidence Can Be Explained by Increases in Mammography Utilization?. American Journal of Epidemiology. 136(12). 1423–1436. 107 indexed citations
18.
Coleman, Elizabeth Ann, Larry G. Kessler, Lap‐Ming Wun, & Eric J. Feuer. (1992). Trends in the surgical treatment of ductal carcinoma in situ of the breast. The American Journal of Surgery. 164(1). 74–76. 9 indexed citations
19.
Wun, Lap‐Ming & Wen Lea Pearn. (1991). Assessing the statistical characteristics of the mean absolute error or forecasting. International Journal of Forecasting. 7(3). 335–337. 12 indexed citations
20.
Wun, Lap‐Ming & Ken Hung. (1988). A note on the distribution of mean square error of forecasting. Communication in Statistics- Theory and Methods. 17(6). 1929–1934. 2 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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