Lixiang Zhao

1.1k citations
48 papers · 837 indexed · 1 hit paper · h-index 17
Topics
Immune Cell Function and Interaction (9 papers)Virus-based gene therapy research (7 papers)Immunotherapy and Immune Responses (7 papers)

In The Last Decade

Lixiang Zhao

41 papers receiving 816 citations

Hit Papers

PEDV-spike-protein-expressing mRNA vaccine protects pigle...20242026202520241020304050

Peers

Lixiang Zhao
Comparison fields: 5 of 88
  • Immunology 304
  • Molecular Biology 203
  • Endocrinology 168
  • Genetics 148
  • Oncology 113
Replace Michiaki Masuda with:
Michiaki Masuda Japan
Dipanjan Dutta India
Chetan V. Jawale South Korea
Peter Lutwyche Canada
Daphne A. C. Stapels Netherlands
Xiaohong Xu China
Julia Y. Co United States
Zifu Zhong Belgium
Michal P. Wandel United Kingdom
Mario Mardirossian Italy
Lixiang Zhao relative to Michiaki Masuda Japan Michiaki Masuda's profile →
Citations per field
00.5×5.5×
Michiaki Masuda · 1×
Citations per year

Countries citing papers authored by Lixiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lixiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lixiang Zhao. A scholar is included among the top collaborators of Lixiang Zhao 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 Lixiang Zhao. Lixiang Zhao 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 18
2 7
3
PEDV-spike-protein-expressing mRNA vaccine protects piglets against PEDV challengebreakdown →
57
4 0
5 0
6 1
7 2
8 11
9 10
10 8
11 0
12 10
13 13
14 37
15 26
16 26
17
Composition Analysis and Nutritional Evaluation of Wild and Farmed Channa argus
1
18 1
19 13
20 15

About Lixiang Zhao

Lixiang Zhao is a scholar working on Endocrinology, Immunology and Molecular Medicine, having authored 48 papers that have together received 837 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Virus-based gene therapy research (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Endocrinology (168 citations), Molecular Medicine (109 citations) and Immunology (304 citations). Lixiang Zhao has collaborated with scholars based in China, New Zealand and Singapore. Frequent co-authors include Haiyan Liu, Xiufan Liu, Song Gao, Yu Mei, Xiaoping Zhu, Yonghao Liu, Qing Sun, Yan Wu, Qingqing Gao and Yuan Song. Their work appears in journals such as Angewandte Chemie International Edition, 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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