Guang Ren

668 total citations
33 papers, 510 citations indexed

About

Guang Ren is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Guang Ren has authored 33 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Physiology and 6 papers in Cancer Research. Recurrent topics in Guang Ren's work include Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Glioma Diagnosis and Treatment (4 papers). Guang Ren is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Glioma Diagnosis and Treatment (4 papers). Guang Ren collaborates with scholars based in United States, China and South Korea. Guang Ren's co-authors include Suresh T. Mathews, Kevin W. Huggins, Jeong‐a Kim, Sushant Bhatnagar, Agnes M. Rimando, Yin Wang, Teayoun Kim, Jinsong Wu, Dongxiao Zhuang and Liangfu Zhou and has published in prestigious journals such as Diabetes, Scientific Reports and The FASEB Journal.

In The Last Decade

Guang Ren

29 papers receiving 503 citations

Peers

Guang Ren
Comparison fields: 5 of 89
  • Molecular Biology 230
  • Physiology 99
  • Epidemiology 89
  • Cancer Research 86
  • Genetics 81
Replace Hui Wu with:
Hui Wu China
Bong Jun Cho South Korea
Yang Qiu China
Shinichiro Takashima Japan
Weihua Li China
Justin B. Perry United States
Corinne Berthonneche Switzerland
Liqing Jiang China
Mitchell E. Allen United States
Hui Wu China View profile →
Citations per field, relative to Guang Ren
Guang Ren · 1×
Citations per year, relative to Guang Ren
Guang Ren · 1×

Countries citing papers authored by Guang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Guang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Ren. A scholar is included among the top collaborators of Guang Ren 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 Guang Ren. Guang Ren 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 0
3 0
4 9
5 46
6 10
7 9
8 21
9 25
10 30
11 39
12 84
13
Gene mutation profiling of primary glioblastoma through multiple tumor biopsy guided by 1H-magnetic resonance spectroscopy.
27
14 5
15 67
16 3
17 22
18
Quantitative evaluation of benign meningioma and hemangiopericytoma with peritumoral brain edema by 64-slice CT perfusion imaging.
13
19
Test on 2.5% Cyhalothrin EW against Helicoverpa assulta in Tobacco Field
1
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026