Bing Gao

611 total citations
26 papers, 434 citations indexed

About

Bing Gao is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Bing Gao has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Plant Science. Recurrent topics in Bing Gao's work include Cancer-related molecular mechanisms research (6 papers), Plant tissue culture and regeneration (5 papers) and MicroRNA in disease regulation (4 papers). Bing Gao is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Plant tissue culture and regeneration (5 papers) and MicroRNA in disease regulation (4 papers). Bing Gao collaborates with scholars based in China, Thailand and United States. Bing Gao's co-authors include Jianning Yao, Lianfeng Zhang, Xuexiu Zhang, Jia Liu, Xiaohong Chen, Murugavel Ponnusamy, Zhijuan Lin, Shicheng Li, Chunfeng Wang and Yuanyong Wang and has published in prestigious journals such as Scientific Reports, Chemosphere and Experimental Brain Research.

In The Last Decade

Bing Gao

23 papers receiving 432 citations

Peers

Bing Gao
Comparison fields: 5 of 79
  • Molecular Biology 320
  • Cancer Research 184
  • Pulmonary and Respiratory Medicine 58
  • Plant Science 34
  • Oncology 32
Replace Liu Ouyang with:
Liu Ouyang China
Tingting Xiao China
Falin Qu China
Insu Jang South Korea
Peng-Hsu Chen Taiwan
Kuo-Hao Ho Taiwan
J-H Luo United States
Rakhmet I. Bersimbaev Kazakhstan
Liu Ouyang China View profile →
Citations per field, relative to Bing Gao
Bing Gao · 1×
Citations per year, relative to Bing Gao
Bing Gao · 1×

Countries citing papers authored by Bing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Gao. A scholar is included among the top collaborators of Bing 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 Bing Gao. Bing 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 0
2 3
3 2
4 1
5 2
6 0
7
Myocyte enhancer factor 2D promotes hepatocellular carcinoma through AMOTL2/YAP signaling that inhibited by luteolin.
3
8 18
9 9
10 35
11 12
12 2
13 24
14 59
15 89
16 11
17 5
18 4
19
Re-Os dating of bitumen in the giant Jinding Zn-Pb deposit,Yunnan and its geological significance
22
20 19

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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