Hong-Hsing Liu

1.5k citations
20 papers · 1.2k indexed · h-index 13

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • NF-κB Signaling Pathways

Papers in

    • Immune Response and Inflammation 4
    • Immune Cell Function and Interaction 3
    • interferon and immune responses 2
    • T-cell and B-cell Immunology 2
    • Wound Healing and Treatments 2

Hong-Hsing Liu

19 papers receiving 1.2k citations

Peers

Hong-Hsing Liu
Comparison fields: 5 of 91
  • Immunology 649
  • Cancer Research 206
  • Molecular Biology 522
  • Infectious Diseases 127
  • Pharmacology 55
Replace Yin Guo with:
Yin Guo United States
Arunan S. Vamadevan United States
Michael G. Dorrington Canada
G W Newman United States
Ali A. Abdul‐Sater Canada
Mairi H McLean United Kingdom
Ankit Malik United States
Joachim Rothe Switzerland
S de Kossodo Switzerland
Óscar Medina‐Contreras Mexico
Hong-Hsing Liu relative to Yin Guo United States Yin Guo's profile →
Citations per field
00.5×1.5×2.4×
Yin Guo · 1×
Citations per year

Countries citing papers authored by Hong-Hsing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Hsing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Hsing Liu. 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 Hong-Hsing Liu. The network helps show where Hong-Hsing Liu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20202
3 202021
4 202017
5 20191
6 2017169
7 20176
8 20170
9 201615
10 201217
11 201119
12 201068
13 201071
14 201026
15 200967
16 20098
17 2006499
18 2006136
19 200558
20
Postnatal outcome of fetal cardiac echogenic foci.
20029

About Hong-Hsing Liu

Hong-Hsing Liu is a scholar working on Immunology, Rehabilitation, Cancer Research, Occupational Therapy and Virology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Immune Cell Function and Interaction (3 papers), interferon and immune responses (2 papers), Wound Healing and Treatments (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), T-cell and B-cell Immunology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Immunology (649 citations), Cancer Research (206 citations), Molecular Biology (522 citations), Infectious Diseases (127 citations) and Pharmacology (55 citations). Hong-Hsing Liu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Zhijian J. Chen, Rashu B. Seth, Lijun Sun, Xiang Chen, James Forman, Min Xie, Michael Schneider, Hung‐Chieh Chou, Huey‐Huey Chua and Yen‐Hsuan Ni. Their work appears in journals such as Scientific Reports, Anesthesia & Analgesia, Gastroenterology, Blood and Clinical Microbiology and Infection.

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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