Hui Gao

1.5k total citations
50 papers, 1.2k citations indexed

About

Hui Gao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hui Gao has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hui Gao's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Hui Gao is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Hui Gao collaborates with scholars based in China, Japan and United States. Hui Gao's co-authors include Setsuro Komiya, Hiromi Sasaki, Masataka Hirotsu, Takao Setoguchi, Masakazu Tanaka, H. Nagao, Yanfang Jiang, Yijun Liu, Yuxing Shan and Miao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and International Journal of Molecular Sciences.

In The Last Decade

Hui Gao

46 papers receiving 1.2k citations

Peers

Hui Gao
Comparison fields: 5 of 103
  • Molecular Biology 736
  • Cancer Research 304
  • Biomedical Engineering 182
  • Oncology 181
  • Pulmonary and Respiratory Medicine 156
Replace Jia Guo with:
Jia Guo China
Yulai Zhou China
Dongqing Zuo China
Joshua J. Souchek United States
Dan Lü China
Laura Roncuzzi Italy
Toshiyuki Nakamura Japan
Junjun She China
Houman Kahroba Iran
Jia Guo China View profile →
Citations per field, relative to Hui Gao
Hui Gao · 1×
Citations per year, relative to Hui Gao
Hui Gao · 1×

Countries citing papers authored by Hui Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hui Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Gao. A scholar is included among the top collaborators of Hui Gao 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 Gao. Hui Gao 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 1
2 4
3 5
4 9
5
pH-Responsive Nanoparticles for Enhanced Antitumor Activity by High-Intensity Focused Ultrasound Therapy Combined with Sonodynamic Therapy
24
6 5
7 11
8 25
9 25
10 4
11 30
12 41
13 11
14 20
15 50
16 7
17 66
18 21
19 57
20 134

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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