Xinxin Liu

920 citations
56 papers · 664 indexed · h-index 18
Topics
Virology and Viral Diseases (10 papers)Animal Virus Infections Studies (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (6 papers)
Partner nations
ChinaGermanyRussia

In The Last Decade

Xinxin Liu

54 papers receiving 651 citations

Peers

Xinxin Liu
Comparison fields: 5 of 113
  • Public Health, Environmental and Occupational Health 147
  • Molecular Biology 123
  • Epidemiology 111
  • Animal Science and Zoology 89
  • Genetics 80
Replace John D. Baird with:
John D. Baird Canada
Ajit Singh India
Sandra Scheiblhofer Austria
Julia Y. Co United States
K. John Morrow United States
Florigio Lista Italy
Peter T. Loudon United Kingdom
Mahboobeh Eslami Iran
Yanyan Chang China
Xinxin Liu relative to John D. Baird Canada John D. Baird's profile →
Citations per field
00.5×2.5×
John D. Baird · 1×
Citations per year

Countries citing papers authored by Xinxin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Liu. A scholar is included among the top collaborators of Xinxin 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 Xinxin Liu. Xinxin 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 1
2 1
3 3
4 1
5 8
6 6
7 0
8 1
9 4
10 1
11 19
12 7
13 17
14 9
15 5
16 17
17 5
18 3
19 28
20 17

About Xinxin Liu

Xinxin Liu is a scholar working on Animal Science and Zoology, Pharmaceutical Science and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 664 indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), Animal Virus Infections Studies (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Animal Science and Zoology (89 citations), Public Health, Environmental and Occupational Health (147 citations) and Pharmaceutical Science (26 citations). Xinxin Liu has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Zhuang Ding, Renfu Yin, Tobias Stoeger, Dhananjay K. Kaul, R L Nagel, H L Shear, Junjiao Li, Yuhai Bi, Hongming Yuan and Yanyu Chen. Their work appears in journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Journal of Controlled Release.

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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