Liam Chung

23 papers receiving 2.5k citations

Liam Chung's Hit Papers

Bacteroides fragilis Toxin Coordinates a Pro-carcinogenic Inflammatory Cascade via Targeting of Colonic Epithelial Cells 2018 · 544 citations
5440+3+6Years since publication100200300400500

Peers

Liam Chung
Comparison fields: 5 of 95
  • Rehabilitation 153
  • Endocrinology 68
  • Molecular Biology 994
  • Molecular Medicine 101
  • Immunology 204
Replace Hongni Fan with:
Hongni Fan United States
Sara Soudi Iran
Michael J. Cronce United States
Sasha H. Shafikhani United States
Russell John Collighan United Kingdom
Seyed Mahmoud Hashemi Iran
Veli‐Jukka Uitto Finland
Seyed Mohammad Moazzeni Iran
Wiltrud Maria Kalka-Moll Germany
Marina de Bernard Italy
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Citations per field
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Hongni Fan · 1×
Citations per year

Countries citing papers authored by Liam Chung

Since Specialization
Citations

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

Fields of papers citing papers by Liam Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bacteroides fragilis Toxin Coordinates a Pro-carcinogenic Inflammatory Cascade via Targeting of Colonic Epithelial Cells
Hit paper breakdown →
2018544
2
Key players in the immune response to biomaterial scaffolds for regenerative medicine
Hit paper breakdown →
2017297
3 2018215
4 2020214
5 2016187
6 2019168
7 2019136
8 2020131
9 2018124
10 201888
11 201782
12 202176
13 202044
14 201841
15 202139
16 202025
17 201821
18 202320
19 202320
20 202212

About Liam Chung

Liam Chung is a scholar working on Endocrinology, Rehabilitation, Immunology, Surgery and Molecular Biology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (6 papers), Gut microbiota and health (4 papers), Corneal Surgery and Treatments (3 papers), Escherichia coli research studies (3 papers), Wound Healing and Treatments (3 papers), Tracheal and airway disorders (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Rehabilitation (153 citations), Endocrinology (68 citations), Molecular Biology (994 citations), Molecular Medicine (101 citations) and Immunology (204 citations). Liam Chung has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Jennifer H. Elisseeff, Franck Housseau, David R. Maestas, Drew M. Pardoll, Matthew T. Wolf, Kaitlyn Sadtler, Ada J Tam, Sudipto Ganguly, Shoumyo Majumdar and Xinqun Wu. Their work appears in journals such as Journal of Clinical Investigation, Cell Host & Microbe, Mucosal Immunology, Biomaterials and Science Translational Medicine.

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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