Chien‐Fu Hung

19.6k citations
355 papers · 14.5k indexed · 3 hit papers · h-index 65

Impact in

  • Immunology top 0.1%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Epidemiology top 0.5%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

    • Immunotherapy and Immune Responses 179
    • Immune Cell Function and Interaction 47

Chien‐Fu Hung

346 papers receiving 14.1k citations

Hit Papers

COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection 2022 · 111 citations
1112000202620082017100200300400500

Peers

Chien‐Fu Hung
Comparison fields: 5 of 159
  • Immunology 6.9k
  • Epidemiology 4.1k
  • Oncology 2.9k
  • Molecular Biology 5.1k
  • Microbiology 443
Replace T.‐C. Wu with:
T.‐C. Wu United States
W. Martin Kast United States
Paul J. Hertzog Australia
Manfred Köpf Switzerland
Stefan Stevanović Germany
James McCluskey Australia
Akinori Takaoka Japan
Abul K. Abbas United States
Thomas Decker Austria
Karolina Palucka United States
Chien‐Fu Hung relative to T.‐C. Wu United States T.‐C. Wu's profile →
Citations per field
00.5×1.5×
T.‐C. Wu · 1×
Citations per year

Countries citing papers authored by Chien‐Fu Hung

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Fu Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Fu Hung. 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 Chien‐Fu Hung. The network helps show where Chien‐Fu Hung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20245
3 20245
4 20240
5 20241
6 202312
7 20224
8 202116
9 201922
10 201566
11 201450
12 201348
13 201391
14 2012134
15 201021
16 200916
17 200797
18 200771
19 200761
20 200724

About Chien‐Fu Hung

Chien‐Fu Hung is a scholar working on Immunology, Hepatology, Epidemiology, Microbiology and Oncology, having authored 355 papers that have together received 14.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (179 papers), Cervical Cancer and HPV Research (69 papers), Immune Cell Function and Interaction (47 papers), Hepatitis B Virus Studies (41 papers), RNA Interference and Gene Delivery (37 papers), Cancer Immunotherapy and Biomarkers (34 papers), Virus-based gene therapy research (33 papers) and vaccines and immunoinformatics approaches (32 papers). The work is most often cited by research in Immunology (6.9k citations), Epidemiology (4.1k citations), Oncology (2.9k citations), Molecular Biology (5.1k citations) and Microbiology (443 citations). Chien‐Fu Hung has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include T.‐C. Wu, Liangmei He, Archana Monie, Morris Ling, Shiwen Peng, Richard B.S. Roden, Wen‐Fang Cheng, T.M. Penning, Sara I. Pai and Andrew Yang. Their work appears in journals such as Journal of Biomedical Science, Gene Therapy, Vaccine, Human Gene Therapy and Cell & Bioscience.

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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