Lijing Gong

822 total citations
48 papers, 644 citations indexed

About

Lijing Gong is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Lijing Gong has authored 48 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Physiology and 12 papers in Epidemiology. Recurrent topics in Lijing Gong's work include Adipose Tissue and Metabolism (11 papers), Exercise and Physiological Responses (9 papers) and Muscle metabolism and nutrition (5 papers). Lijing Gong is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Exercise and Physiological Responses (9 papers) and Muscle metabolism and nutrition (5 papers). Lijing Gong collaborates with scholars based in China, Sweden and Australia. Lijing Gong's co-authors include Ting Yu, Shusheng Tang, Bin Xiao, Chengjun Wu, Xilong Xiao, Stefan Schwartz, Chongshan Dai, Daowen Li, Naoko Kajitani and Alessandro Quattrone and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Virology.

In The Last Decade

Lijing Gong

47 papers receiving 643 citations

Peers

Lijing Gong
Comparison fields: 5 of 100
  • Molecular Biology 367
  • Cancer Research 163
  • Physiology 106
  • Epidemiology 82
  • Immunology 41
Replace Siming Wang with:
Siming Wang China
Ivan Cherh Chiet Low Singapore
Michal K. Handzlik United States
Idy H. T. Ho Hong Kong
Xiaoyan Liang China
Lihua Wang China
Mathieu Rederstorff France
Tao Zhu China
Xiaoling Zhao China
Siming Wang China View profile →
Citations per field, relative to Lijing Gong
Lijing Gong · 1×
Citations per year, relative to Lijing Gong
Lijing Gong · 1×

Countries citing papers authored by Lijing Gong

Since Specialization
Citations

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

Fields of papers citing papers by Lijing Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijing Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Lijing Gong. A scholar is included among the top collaborators of Lijing Gong 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 Lijing Gong. Lijing Gong 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 3
2 3
3 2
4 4
5 1
6 2
7 1
8 5
9 7
10 1
11 2
12 1
13 17
14 5
15
Suppression of miR-21-3p enhances TRAIL-mediated apoptosis in liver cancer stem cells by suppressing PI3K/Akt/Bad cascade via regulating PTEN
3
16 7
17 19
18 104
19 4
20 5

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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