Hui Shi

9.9k total citations · 8 hit papers
98 papers, 7.7k citations indexed

About

Hui Shi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Hui Shi has authored 98 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 25 papers in Cancer Research and 13 papers in Surgery. Recurrent topics in Hui Shi's work include Extracellular vesicles in disease (27 papers), MicroRNA in disease regulation (18 papers) and Cancer-related molecular mechanisms research (11 papers). Hui Shi is often cited by papers focused on Extracellular vesicles in disease (27 papers), MicroRNA in disease regulation (18 papers) and Cancer-related molecular mechanisms research (11 papers). Hui Shi collaborates with scholars based in China, Singapore and United States. Hui Shi's 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 and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hui Shi

97 papers receiving 7.6k citations

Hit Papers

Origin of Enhanced Stem Cell Growth and Differentiation o... 2011 2026 2016 2021 2011 2015 2014 2018 2021 250 500 750

Peers

Hui Shi
Comparison fields: 5 of 136
  • Molecular Biology 5.1k
  • Cancer Research 3.0k
  • Biomedical Engineering 1.4k
  • Genetics 853
  • Immunology 772
Xiaoxiao Cai China
Zongjin Li China
Sung‐Hwan Moon South Korea
Shiwu Dong China
Xu Zhang China
Cun‐Yu Wang United States
Masoud Soleimani Iran
Olivier De Wever Belgium
Chun‐Yuan Chen China
Xiaoxiao Cai China View profile →
Citations per field, relative to Hui Shi
Hui Shi · 1×
Citations per year, relative to Hui Shi
Hui Shi · 1×

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
# Work Indexed citations
1 0
2
Tailoring traditional Chinese medicine in cancer therapy breakdown →
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 Destruction breakdown →
354
15 42
16 110
17 102
18 9
19 9
20 51

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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