Guang Ren

668 citations
33 papers · 510 indexed · h-index 13
Topics
Adipose Tissue and Metabolism (8 papers)Peroxisome Proliferator-Activated Receptors (6 papers)Glioma Diagnosis and Treatment (4 papers)

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 Yang Qiu with:
Yang Qiu China
Bong Jun Cho South Korea
Meloney Cregor United States
Mitchell E. Allen United States
Corinne Berthonneche Switzerland
Xiaoting Huang China
Cong Wei China
Naser Safaie Iran
Jinliang Nan China
Guang Ren relative to Yang Qiu China Yang Qiu's profile →
Citations per field
00.5×4.3×
Yang Qiu · 1×
Citations per year

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
#WorkIndexed 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

About Guang Ren

Guang Ren is a scholar working on Aging, Physiology and Genetics, having authored 33 papers that have together received 510 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (81 citations), Geriatrics and Gerontology (25 citations) and Cancer Research (86 citations). Guang Ren has collaborated with scholars based in United States, China and South Korea. Frequent 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. Their work appears in journals such as Diabetes, Scientific Reports and The FASEB Journal.

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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