Haiying Liu

4.8k citations
97 papers · 3.5k indexed · 1 hit paper · h-index 29
Topics
Streptococcal Infections and Treatments (12 papers)Neonatal and Maternal Infections (12 papers)Tuberculosis Research and Epidemiology (12 papers)

In The Last Decade

Haiying Liu

94 papers receiving 3.4k citations

Hit Papers

Innate immunity in tuberculosis: host defense vs pathogen...20172026202020232017100200300

Peers

Haiying Liu
Comparison fields: 5 of 137
  • Immunology 1.4k
  • Epidemiology 909
  • Infectious Diseases 718
  • Molecular Biology 580
  • Surgery 402
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
00.5×1.5×1.9×
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 of co-authors of Haiying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Liu. A scholar is included among the top collaborators of Haiying Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiying Liu. Haiying Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 13
4 9
5 4
6 55
7 23
8 14
9 21
10 8
11
Innate immunity in tuberculosis: host defense vs pathogen evasionbreakdown →
379
12 5
13 19
14 51
15 57
16 34
17 123
18 379
19
An ELISA method for determination of serum B lymphocyte stimulator levels and its clinical assessment
1
20 243

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) and Tuberculosis Research and Epidemiology (12 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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