Haiying Liu

4.8k citations
97 papers · 3.5k indexed · 1 hit paper · h-index 29

Haiying Liu

94 papers receiving 3.4k citations

Hit Papers

Innate immunity in tuberculosis: host defense vs pathogen...3792017202620202023100200300

Peers

Haiying Liu
Comparison fields: 5 of 137
  • Immunology 1.4k
  • Infectious Diseases 718
  • Epidemiology 909
  • Hepatology 150
  • Geriatrics and Gerontology 73
Replace Anthony Jaworowski with:
Anthony Jaworowski Australia
Barbara Detrick United States
Andreas Bergthaler Austria
Michael Poidinger Singapore
Pärt Peterson Estonia
Xi Yang Canada
John S. Sullivan Australia
Qing He China
Michael Eckhaus United States
Raffaele Badolato Italy
Haiying Liu relative to Anthony Jaworowski Australia Anthony Jaworowski's profile →
Citations per field
00.5×4.3×
Anthony Jaworowski · 1×
Citations per year

Countries citing papers authored by Haiying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 202313
4 20219
5 20214
6 201955
7 201923
8 201914
9 201821
10 20178
11
Innate immunity in tuberculosis: host defense vs pathogen evasionbreakdown →
2017379
12 20155
13 201419
14 201351
15 201257
16 201134
17 2009123
18 2006379
19
An ELISA method for determination of serum B lymphocyte stimulator levels and its clinical assessment
20041
20 2003243

About Haiying Liu

Haiying Liu is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 97 papers that have together received 3.5k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (12 papers), Neonatal and Maternal Infections (12 papers), Tuberculosis Research and Epidemiology (12 papers), Liver Diseases and Immunity (9 papers), Mycobacterium research and diagnosis (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Immune Cell Function and Interaction (8 papers) and Pneumonia and Respiratory Infections (8 papers). The work is most often cited by research in Immunology (1.4k citations), Infectious Diseases (718 citations) and Epidemiology (909 citations). Haiying Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Foo Y. Liew, Mousa Komai‐Koma, Cui Hua Liu, Baoxue Ge, Damo Xu, Damo Xu, Boping Zhou, Xinchun Chen, Bin Hu and Michael W. Graner. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

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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