Qing Shi

1.2k total citations
37 papers, 973 citations indexed

About

Qing Shi is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qing Shi has authored 37 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qing Shi's work include Advanced Adaptive Filtering Techniques (5 papers), Connective tissue disorders research (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Qing Shi is often cited by papers focused on Advanced Adaptive Filtering Techniques (5 papers), Connective tissue disorders research (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Qing Shi collaborates with scholars based in China, United States and Czechia. Qing Shi's co-authors include Jeremy N. Rich, Darell D. Bigner, Audrey Minden, Primal de Lanerolle, Jian Qu, Michael P. Sheetz, Takayuki Nishizaka, Changqing Yang, Thomas J. Cummings and Xiao‐Fan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Qing Shi

36 papers receiving 955 citations

Peers

Qing Shi
Comparison fields: 5 of 111
  • Molecular Biology 428
  • Oncology 249
  • Cancer Research 147
  • Cell Biology 131
  • Rheumatology 88
Replace Tsung‐Lin Cheng with:
Tsung‐Lin Cheng Taiwan
Yuepeng Wang China
Shuguang Huang United States
Wei‐Fan Chiang Taiwan
Jie Bao China
Xi Li China
Di Chen China
Attila Zalatnai Hungary
Juan Ding China
Yuanyuan Wu China
Tsung‐Lin Cheng Taiwan View profile →
Citations per field, relative to Qing Shi
Qing Shi · 1×
Citations per year, relative to Qing Shi
Qing Shi · 1×

Countries citing papers authored by Qing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Shi. A scholar is included among the top collaborators of Qing 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 Qing Shi. Qing 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 0
2 3
3 2
4 1
5 5
6 9
7 4
8 1
9 1
10 4
11 16
12 18
13 19
14 60
15 136
16 109
17
Secreted protein acidic and rich in cysteine (SPARC) activates focal adhesion kinase and integrin-linked kinase to induce AKT-dependent glioma survival and invasion
2
18 91
19 132
20 142

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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