Weixing Shi

907 total citations
23 papers, 749 citations indexed

About

Weixing Shi is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Immunology. According to data from OpenAlex, Weixing Shi has authored 23 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Immunology. Recurrent topics in Weixing Shi's work include Muscle Physiology and Disorders (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Weixing Shi is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Weixing Shi collaborates with scholars based in China, United States and Pakistan. Weixing Shi's co-authors include Zeling Cai, Michael R. Jackson, Young Mok Yang, Homero Sepulveda, Jonathan Sprent, Per A. Peterson, Jing-Feng Huang, Inkyu Hwang, Shuqing Chen and Roger Chammas and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Weixing Shi

23 papers receiving 732 citations

Peers

Weixing Shi
Comparison fields: 5 of 79
  • Immunology 410
  • Molecular Biology 275
  • Oncology 70
  • Physiology 47
  • Health, Toxicology and Mutagenesis 44
Replace Joanne Keenan with:
Joanne Keenan Ireland
Maria Persico Italy
Lesley Young United Kingdom
Mark Whitmore United States
Dongdong Wang China
Johanna C. vanderSpek United States
Takuya Saito Japan
Baigen Mei United States
Joanne Keenan Ireland View profile →
Citations per field, relative to Weixing Shi
Weixing Shi · 1×
Citations per year, relative to Weixing Shi
Weixing Shi · 1×

Countries citing papers authored by Weixing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weixing Shi. A scholar is included among the top collaborators of Weixing 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 Weixing Shi. Weixing 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 1
3 1
4 11
5 14
6 5
7 14
8
[Preparation of salbutamol polyclonal antibodies and development of indirect competitive enzyme-linked immunoassay].
1
9 30
10 1
11 37
12 2
13 1
14 11
15 32
16 49
17 25
18 377
19 90
20
A study of Phaseolus coccineus var. rubronanus lectin by fluorescence spectroscopy
1

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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