Chunfa Liu

1.4k citations
34 papers · 568 · h-index 14

Impact in

Papers in

    • Mycobacterium research and diagnosis 20
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Tuberculosis Research and Epidemiology 19

Chunfa Liu

33 papers receiving 565 citations

Peers

Chunfa Liu
Comparison fields: 5 of 78
  • Infectious Diseases 253
  • Microbiology 6
  • Epidemiology 272
  • Immunology 148
  • Small Animals 35
Replace Tatyana Azhikina with:
Tatyana Azhikina Russia
Mohd Shariq India
Jingbo Zhai China
Mumin Ozturk South Africa
Dong-Min Shin South Korea
V Cusumano Italy
Olabisi Ojo United States
Arnone Nithichanon Thailand
Michel Denis Canada
Chiaki Kajiwara Japan
Chunfa Liu relative to Tatyana Azhikina Russia Tatyana Azhikina's profile →
Citations per field
00.5×3.9×
Tatyana Azhikina · 1×
Citations per year

Countries citing papers authored by Chunfa Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chunfa Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202153
3 201651
4 201349
5 202148
6 202232
7 201930
8 201424
9 201924
10 202122
11 201621
12 201620
13 201417
14 201913
15 202213
16 201611
17 20219
18 20179
19 20218
20 20228

About Chunfa Liu

Chunfa Liu is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Surgery, having authored 34 papers that have together received 568 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (19 papers), interferon and immune responses (7 papers), Inflammasome and immune disorders (4 papers), Infectious Diseases and Mycology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Infectious Diseases (253 citations), Microbiology (6 citations), Epidemiology (272 citations), Immunology (148 citations) and Small Animals (35 citations). Chunfa Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiangmei Zhou, Deming Zhao, Lifeng Yang, Wencong He, Dongxin Liu, Yanlin Zhao, Bing Zhao, Xichao Ou, Ruichao Yue and Aijing Ma. Their work appears in journals such as Microbiology Spectrum, Microbial Pathogenesis, Frontiers in Public Health, Poultry Science and Frontiers in Microbiology.

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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