Lan Liang

38 papers receiving 1.9k citations

Lan Liang's Hit Papers

Will All Americans Become Overweight or Obese? Estimating the Progression and Cost of the US Obesity Epidemic 2008 · 1.2k citations
1.2k0+6+12Years since publication2505007501000

Peers

Lan Liang
Comparison fields: 5 of 164
  • Pharmacy 161
  • Public Health, Environmental and Occupational Health 463
  • Physiology 387
  • Applied Psychology 51
  • General Health Professions 249
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Catherine M. Giles United States
Jessica L. Barrett United States
Ulla Toft Denmark
Tanya Agurs‐Collins United States
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P Kopelman United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Liang. 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 Lan Liang. The network helps show where Lan Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Liang Line = papers co-authored together Lan Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Will All Americans Become Overweight or Obese? Estimating the Progression and Cost of the US Obesity Epidemic
Hit paper breakdown →
20081153
2 2012107
3 200398
4
National Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2017: Statistical Brief #261
200673
5 200264
6 201764
7 200060
8 201745
9 201342
10 201138
11 201230
12 200826
13 201724
14 202122
15 202116
16
Drinkers, Drivers, and Bartenders: Balancing Private Choices and Public Accountability
200013
17 202412
18
Costs of Emergency Department Visits in the United States, 2017
202012
19 201010
20 20219

About Lan Liang

Lan Liang is a scholar working on Economics and Econometrics, General Health Professions, Pharmacy, Molecular Biology and Oncology, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Healthcare Policy and Management (5 papers), Obesity, Physical Activity, Diet (4 papers), Smoking Behavior and Cessation (3 papers), Obesity and Health Practices (3 papers), Primary Care and Health Outcomes (2 papers), Substance Abuse Treatment and Outcomes (2 papers), Emergency and Acute Care Studies (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Pharmacy (161 citations), Public Health, Environmental and Occupational Health (463 citations), Physiology (387 citations), Applied Psychology (51 citations) and General Health Professions (249 citations). Lan Liang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Youfa Wang, Shiriki Kumanyika, May A. Beydoun, Benjamı́n Caballero, Frank J. Chaloupka, Hsin‐Jen Chen, Brian J. Moore, James B. Kirby, Mark Nichter and Richard Clayton. Their work appears in journals such as JAMA Network Open, Health Affairs, Obesity, Oncotarget and The Journal of Law and Economics.

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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