Wei‐Ting Lin

1.1k citations
50 papers · 817 indexed · h-index 17

Impact in

Papers in

Wei‐Ting Lin

47 papers receiving 799 citations

Peers

Wei‐Ting Lin
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 233
  • Physiology 217
  • Public Health, Environmental and Occupational Health 216
  • Biochemistry 34
  • Nutrition and Dietetics 83
Replace Elnaz Faramarzi with:
Elnaz Faramarzi Iran
Cheol‐Ho Kim South Korea
Ichiro Tsuji Japan
Giuseppe Fabio Martines Italy
Helmut Brath Austria
Soraiya Ebrahimpour‐Koujan Iran
Swati Bhardwaj India
Mania Radfar Iran
Suhad Bahijri Saudi Arabia
César I. Fernández-Lázaro Spain
Wei‐Ting Lin relative to Elnaz Faramarzi Iran Elnaz Faramarzi's profile →
Citations per field
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Elnaz Faramarzi · 1×
Citations per year

Countries citing papers authored by Wei‐Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ting Lin. 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 Wei‐Ting Lin. The network helps show where Wei‐Ting Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201265
3 201661
4
Continuity of outpatient care and avoidable hospitalization: a systematic review.
201954
5 200941
6 202239
7 202038
8 201638
9 201035
10 202032
11 202131
12 201627
13 201421
14 202119
15 202119
16 202117
17 202217
18 202116
19 201915
20 202315

About Wei‐Ting Lin

Wei‐Ting Lin is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Physiology, having authored 50 papers that have together received 817 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (13 papers), Liver Disease Diagnosis and Treatment (10 papers), Obesity, Physical Activity, Diet (7 papers), Nutritional Studies and Diet (5 papers), Diet and metabolism studies (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Alcohol Consumption and Health Effects (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (233 citations), Physiology (217 citations), Public Health, Environmental and Occupational Health (216 citations), Biochemistry (34 citations) and Nutrition and Dietetics (83 citations). Wei‐Ting Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chien‐Hung Lee, Hsiao‐Ling Huang, Tung‐Sung Tseng, Chun‐Ying Lee, Sharon Tsai, Te‐Fu Chan, Hui‐Yi Lin, Tsu‐Nai Wang, Yu‐Wen Chiu and Ted Chen. Their work appears in journals such as Nutrients, Scientific Reports, npj Biofilms and Microbiomes, International Journal of Obesity and Journal of Agricultural and Food Chemistry.

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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