Wing‐Kin Syn

2.1k citations
32 papers · 1.3k · h-index 16

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment

Papers in

Wing‐Kin Syn

28 papers receiving 1.3k citations

Peers

Wing‐Kin Syn
Comparison fields: 5 of 79
  • Hepatology 449
  • Epidemiology 566
  • Immunology 174
  • Endocrinology, Diabetes and Metabolism 118
  • Cell Biology 123
Replace Auvro R. Mridha with:
Auvro R. Mridha Australia
Kelly McDaniel United States
Tobias Puengel Germany
John Brooling United States
Jana Hundertmark Germany
Carlos M. Rodríguez‐Ortigosa Spain
Ilaria Petrai Italy
Kiyohiro Higuchi Japan
Bedair Dewidar Germany
Wing‐Kin Syn relative to Auvro R. Mridha Australia Auvro R. Mridha's profile →
Citations per field
00.5×5.7×
Auvro R. Mridha · 1×
Citations per year

Countries citing papers authored by Wing‐Kin Syn

Since Specialization
Citations

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

Fields of papers citing papers by Wing‐Kin Syn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing‐Kin Syn. 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 Wing‐Kin Syn. The network helps show where Wing‐Kin Syn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010231
2 2012221
3 2011142
4 2012105
5 201392
6 201766
7 201960
8 201859
9 202050
10 201241
11 202033
12 201922
13 201822
14 201422
15 201721
16 201517
17 201915
18 201414
19 202413
20 20197

About Wing‐Kin Syn

Wing‐Kin Syn is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Hepatology, Surgery and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Diet, Metabolism, and Disease (6 papers), Hepatitis B Virus Studies (3 papers), Liver Diseases and Immunity (3 papers), Liver physiology and pathology (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Hepatitis C virus research (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Hepatology (449 citations), Epidemiology (566 citations), Immunology (174 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Cell Biology (123 citations). Wing‐Kin Syn has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Anna Mae Diehl, Steve S. Choi, Gamze Karaca, Gregory A. Michelotti, Paul Manka, Cynthia D. Guy, Isaac S. Chan, Thiago A. Pereira, Marzena Swiderska and Guanhua Xie. Their work appears in journals such as PLoS ONE, Digestive Diseases and Sciences, Gut, Cancer Letters and Hepatology.

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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