Steven C. Lin

1.3k citations
20 papers · 897 · h-index 12

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease Diagnosis and Treatment

Papers in

Steven C. Lin

19 papers receiving 888 citations

Peers

Steven C. Lin
Comparison fields: 5 of 79
  • Hepatology 152
  • Epidemiology 486
  • Endocrinology, Diabetes and Metabolism 128
  • Nephrology 45
  • Neurology 81
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E. Ventura Italy
Ken Simpson United Kingdom
Ingrid Vander Elst Belgium
Kamaljit Chatha United Kingdom
Ning Yang China
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Cristiano Xavier Lima Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Steven C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. 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 Steven C. Lin. The network helps show where Steven C. Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015286
2 2014208
3 201885
4 202072
5
The Use of Complementary and Alternative Medicine in Patients With Inflammatory Bowel Disease.
201848
6 201935
7 202031
8 201829
9 201720
10
Noninvasive Assessment of Fibrosis Regression in Hepatitis C Virus Sustained Virologic Responders.
201720
11 201511
12
Prediction of successful weight reduction after laparoscopic adjustable gastric banding.
200911
13 201810
14 198610
15 20159
16 20165
17 20094
18
The Effect of Impulsiveness and Promotional Types on Purchase Intentions in Taiwan: A Study
20132
19 20191
20 20150

About Steven C. Lin

Steven C. Lin is a scholar working on Epidemiology, Surgery, Physiology, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 897 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Complementary and Alternative Medicine Studies (2 papers), Lysosomal Storage Disorders Research (2 papers), Microscopic Colitis (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Head and Neck Cancer Studies (1 paper), Gastrointestinal motility and disorders (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Hepatology (152 citations), Epidemiology (486 citations), Endocrinology, Diabetes and Metabolism (128 citations), Nephrology (45 citations) and Neurology (81 citations). Steven C. Lin has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Rohit Loomba, Claude B. Sirlin, Brandon Ang, Christopher J. Danford, Jacqueline L. Wolf, Adam S. Cheifetz, Ricki Bettencourt, Martin P. Smith, Elhamy Heba and Carolyn Hernandez. Their work appears in journals such as Medical Physics, The Journal of Clinical Endocrinology & Metabolism, Movement Disorders, Frontiers in Neuroscience and Inflammatory Bowel Diseases.

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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