Hui Shi

9.9k citations
98 papers · 7.7k indexed · 8 hit papers · h-index 41
Topics
Extracellular vesicles in disease (27 papers)MicroRNA in disease regulation (18 papers)Cancer-related molecular mechanisms research (11 papers)

In The Last Decade

Hui Shi

97 papers receiving 7.6k citations

Hit Papers

Origin of Enhanced Stem Cell Growth and Differentiation o...201120262016202120112015201420182021250500750

Peers

Hui Shi
Comparison fields: 5 of 136
  • Molecular Biology 5.1k
  • Cancer Research 3.0k
  • Biomedical Engineering 1.4k
  • Genetics 853
  • Immunology 772
Replace Zongjin Li with:
Zongjin Li China
Bin Zhang China
Xu Zhang China
Andre Choo Singapore
Giulio Alessandri Italy
Seyed Mahmoud Hashemi Iran
Steven M. Jay United States
Robert Chunhua Zhao China
Xiaoxiao Cai China
Hui Shi relative to Zongjin Li China Zongjin Li's profile →
Citations per field
00.5×1.5×1.8×
Zongjin Li · 1×
Citations per year

Countries citing papers authored by Hui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Shi. A scholar is included among the top collaborators of Hui 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 Hui Shi. Hui 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
#WorkIndexed citations
1 0
2
Tailoring traditional Chinese medicine in cancer therapybreakdown →
33
3 16
4 2
5 1
6 23
7 97
8 20
9 37
10 52
11 26
12 44
13 9
14
Human Mesenchymal Stem Cell Derived Exosomes Alleviate Type 2 Diabetes Mellitus by Reversing Peripheral Insulin Resistance and Relieving β-Cell Destructionbreakdown →
354
15 42
16 110
17 102
18 9
19 9
20 51

About Hui Shi

Hui Shi is a scholar working on Cancer Research, Rehabilitation and Molecular Biology, having authored 98 papers that have together received 7.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (27 papers), MicroRNA in disease regulation (18 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Cancer Research (3.0k citations), Rehabilitation (569 citations) and Genetics (853 citations). Hui Shi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hui Qian, Wenrong Xu, Xu Zhang, Bin Zhang, Lijun Wu, Xiao Yuan, Chwee Teck Lim, Kian Ping Loh, Wong Cheng Lee and Yu Wang. Their work appears in journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

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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