Weiwei Shi

7.1k total citations · 3 hit papers
168 papers, 5.4k citations indexed

About

Weiwei Shi is a scholar working on Molecular Biology, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Weiwei Shi has authored 168 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 25 papers in Biomedical Engineering and 20 papers in Pathology and Forensic Medicine. Recurrent topics in Weiwei Shi's work include Cardiac Ischemia and Reperfusion (17 papers), Chemical Synthesis and Analysis (15 papers) and Membrane Separation and Gas Transport (9 papers). Weiwei Shi is often cited by papers focused on Cardiac Ischemia and Reperfusion (17 papers), Chemical Synthesis and Analysis (15 papers) and Membrane Separation and Gas Transport (9 papers). Weiwei Shi collaborates with scholars based in China, United States and Hong Kong. Weiwei Shi's co-authors include Jianhua Qin, Yao Lu, Bingcheng Lin, Bingcheng Lin, Bo Zhang, Hongyu Li, Lei Jiang, Nannan Ye, Binbin Chang and Baocheng Yang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Weiwei Shi

160 papers receiving 5.3k citations

Hit Papers

Hydrogen Peroxide in Plants: a Versatile Molecule of the ... 2008 2026 2014 2020 2008 2009 2024 100 200 300 400 500

Peers

Weiwei Shi
Comparison fields: 5 of 166
  • Molecular Biology 2.1k
  • Biomedical Engineering 1.7k
  • Electrical and Electronic Engineering 673
  • Plant Science 571
  • Materials Chemistry 356
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Chunying Li China
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Wenyuan Liu China
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Hongyan Li China
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Chunying Li China View profile →
Citations per field, relative to Weiwei Shi
Weiwei Shi · 1×
Citations per year, relative to Weiwei Shi
Weiwei Shi · 1×

Countries citing papers authored by Weiwei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Shi. A scholar is included among the top collaborators of Weiwei Shi 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 Shi. Weiwei Shi 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 2
2 0
3 0
4 2
5 14
6
Lactic acid induces transcriptional repression of macrophage inflammatory response via histone acetylation breakdown →
67
7 18
8 14
9 5
10 15
11 10
12 8
13 10
14 10
15 3
16 121
17 2
18 2
19 1
20 44

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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