Lan Liang

2.9k citations
37 papers · 1.9k indexed · 1 hit paper · h-index 15

Lan Liang

37 papers receiving 1.8k citations

Hit Papers

Will All Americans Become Overweight or Obese? Estimating...1.1k20082026201420202505007501000

Peers

Lan Liang
Comparison fields: 5 of 162
  • Pharmacy 232
  • Public Health, Environmental and Occupational Health 642
  • Physiology 454
  • General Health Professions 331
  • Applied Psychology 62
Replace Jessica L. Barrett with:
Jessica L. Barrett United States
Rachel Leach United Kingdom
Youfa Wang United States
Ulla Toft Denmark
Catherine M. Giles United States
Tanya Agurs‐Collins United States
Mary Flynn United Kingdom
Philip James United Kingdom
Timothy Gill Australia
Daniel F. Sarpong United States
Lan Liang relative to Jessica L. Barrett United States Jessica L. Barrett's profile →
Citations per field
00.5×1.7×
Jessica L. Barrett · 1×
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-authorship network

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
#Work
1 20243
2 20247
3 20242
4 20242
5 20235
6 20222
7 20212
8 20219
9 202115
10 201740
11 20157
12 20098
13 200825
14
Will All Americans Become Overweight or Obese? Estimating the Progression and Cost of the US Obesity Epidemicbreakdown →
20081087
15 20071
16
National Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2017: Statistical Brief #261
200670
17 200391
18 200260
19
Drinkers, Drivers, and Bartenders
20001
20 200053

About Lan Liang

Lan Liang is a scholar working on Pharmacy, Health and Emergency Medical Services, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Healthcare Policy and Management (7 papers), Obesity, Physical Activity, Diet (6 papers), Obesity and Health Practices (5 papers), Primary Care and Health Outcomes (4 papers), Smoking Behavior and Cessation (3 papers), Global Health Workforce Issues (3 papers), Health disparities and outcomes (3 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Pharmacy (232 citations), Public Health, Environmental and Occupational Health (642 citations) and Physiology (454 citations). Lan Liang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Youfa Wang, May A. Beydoun, Benjamı́n Caballero, Shiriki Kumanyika, Frank J. Chaloupka, Hsin‐Jen Chen, Brian J. Moore, James B. Kirby, Mark Nichter and Anita Soni. Their work appears in journals such as JAMA Network Open, Health Affairs, Health Economics, National Science Review and Journal of Educational Psychology.

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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