Jianying Liu

4.2k citations
62 papers · 2.0k indexed · 2 hit papers · h-index 23
Topics
Mosquito-borne diseases and control (7 papers)Metabolism, Diabetes, and Cancer (6 papers)Viral Infections and Vectors (5 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Jianying Liu

59 papers receiving 1.9k citations

Hit Papers

The N501Y spike substitution enhances SARS-CoV-2 infectio...202120262022202420212022100200300

Peers

Jianying Liu
Comparison fields: 5 of 119
  • Infectious Diseases 948
  • Molecular Biology 471
  • Public Health, Environmental and Occupational Health 399
  • Epidemiology 246
  • Insect Science 199
Replace Sharmila Nair with:
Sharmila Nair United States
Jacob E. Lemieux United States
Sansanee Noisakran Thailand
Charles Lam Austria
Kailang Wu China
Xianwen Zhang China
Balachandran Ravindran India
Siyuan Ding United States
Xing Wu China
Michael R. Beard Australia
Jianying Liu relative to Sharmila Nair United States Sharmila Nair's profile →
Citations per field
00.5×7.4×
Sharmila Nair · 1×
Citations per year

Countries citing papers authored by Jianying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jianying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianying Liu. A scholar is included among the top collaborators of Jianying 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 Jianying Liu. Jianying 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 1
3 0
4 3
5 2
6 4
7 62
8 12
9 7
10
The N501Y spike substitution enhances SARS-CoV-2 infection and transmissionbreakdown →
341
11 32
12 52
13 142
14 51
15 1
16 10
17 34
18 46
19 3
20
Schisandra Extracts on Blood Glucose of Diabetic Mice
1

About Jianying Liu

Jianying Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Nephrology, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (948 citations), Nephrology (132 citations) and Insect Science (199 citations). Jianying Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Scott C. Weaver, Pei‐Yong Shi, Xuping Xie, Vineet D. Menachery, Yang Liu, Gong Cheng, Jixiong Xu, Craig Schindewolf, Zhiqiang Ku and Steven G. Widen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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