Eric Yan

566 citations
22 papers · 437 · h-index 12

Impact in

Papers in

    • Economic Growth and Productivity 2
    • Firm Innovation and Growth 2
    • Liver Disease Diagnosis and Treatment 2
    • Adipokines, Inflammation, and Metabolic Diseases 2

Eric Yan

18 papers receiving 412 citations

Peers

Eric Yan
Comparison fields: 5 of 96
  • Physiology 125
  • Endocrinology, Diabetes and Metabolism 53
  • Pharmacy 15
  • Endocrine and Autonomic Systems 19
  • Public Health, Environmental and Occupational Health 56
Replace Carl Bredlau with:
Carl Bredlau United States
Lyne Messier Canada
Leishen Wang China
Patricia Ibáñez Ibáñez Spain
Emilia Gómez Hoyos Spain
Lina Enriqueta Frandsen Paez de Lima Rosado Brazil
Dana El Masri Lebanon
Alireza Askari Iran
S Whitehouse Australia
David Saxon United States
Eric Yan relative to Carl Bredlau United States Carl Bredlau's profile →
Citations per field
00.5×1.6×
Carl Bredlau · 1×
Citations per year

Countries citing papers authored by Eric Yan

Since Specialization
Citations

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

Fields of papers citing papers by Eric Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Yan, 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 Eric Yan Line = papers co-authored together Eric Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201380
2 200851
3 200848
4 201147
5 200841
6 201040
7 200724
8 200822
9 202122
10 201116
11 200716
12 202212
13 20135
14 20074
15 20203
16 20203
17 20072
18 20241
19 20250
20 20250

About Eric Yan

Eric Yan is a scholar working on Economics and Econometrics, Epidemiology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Bariatric Surgery and Outcomes (2 papers), Cancer Risks and Factors (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Alcohol Consumption and Health Effects (2 papers), Economic Growth and Productivity (2 papers), Firm Innovation and Growth (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Physiology (125 citations), Endocrinology, Diabetes and Metabolism (53 citations), Pharmacy (15 citations), Endocrine and Autonomic Systems (19 citations) and Public Health, Environmental and Occupational Health (56 citations). Eric Yan has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Kurt Hong, Zhaoping Li, Steve Chen, Catherine L. Carpenter, Francisco Durazo, Myron J. Tong, Zhaoping Li, Gail Thames, Ken Fujioka and Woo Seob Kim. Their work appears in journals such as Nutrition Reviews, Nutrition Journal, Journal of Obesity, Metabolic Syndrome and Related Disorders and Economic Modelling.

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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