Weiwei Liu

4.8k total citations · 1 hit paper
138 papers, 3.4k citations indexed

About

Weiwei Liu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Weiwei Liu has authored 138 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 40 papers in Immunology and 22 papers in Epidemiology. Recurrent topics in Weiwei Liu's work include Inflammasome and immune disorders (14 papers), Autophagy in Disease and Therapy (13 papers) and interferon and immune responses (12 papers). Weiwei Liu is often cited by papers focused on Inflammasome and immune disorders (14 papers), Autophagy in Disease and Therapy (13 papers) and interferon and immune responses (12 papers). Weiwei Liu collaborates with scholars based in China, Japan and United States. Weiwei Liu's co-authors include Joan W. Berman, Sunhee C. Lee, Celia F. Brosnan, Dennis W. Dickson, Yalei Dai, Yanlin Yin, Takashi Ikejima, Toshihiko Hayashi, Satoshi Onodera and Shunji Hattori and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Weiwei Liu

131 papers receiving 3.4k citations

Hit Papers

Cytokine production by human fetal microglia and astrocyt... 1993 2026 2004 2015 1993 200 400 600

Peers

Weiwei Liu
Comparison fields: 5 of 133
  • Molecular Biology 1.6k
  • Immunology 840
  • Neurology 542
  • Epidemiology 455
  • Physiology 360
Chang Liu China
Wenbo Zhang United States
Shuo Yang China
Paqui G. Través Spain
Shuhong Guo United States
Hui Liao China
Abbas Mirshafiey Iran
Helena Erlandsson-Harris Sweden
Hangdi Xu China
Chang Liu China View profile →
Citations per field, relative to Weiwei Liu
Weiwei Liu · 1×
Citations per year, relative to Weiwei Liu
Weiwei Liu · 1×

Countries citing papers authored by Weiwei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Liu. A scholar is included among the top collaborators of Weiwei 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 Weiwei Liu. Weiwei 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
# Work Indexed citations
1 1
2 5
3 3
4 0
5 1
6 9
7 16
8 67
9 54
10 17
11 3
12 19
13 25
14 15
15 5
16
Nursing Methods for Improving Medication Compliance of Diabetic Patients with Tumor
0
17 16
18 15
19 30
20 16

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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