Rong Guo

950 citations
14 papers · 537 · h-index 8

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cancer, Hypoxia, and Metabolism

Papers in

    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Ubiquitin and proteasome pathways 2
    • Cancer, Hypoxia, and Metabolism 2

Rong Guo

14 papers receiving 530 citations

Peers

Rong Guo
Comparison fields: 5 of 76
  • Aging 125
  • Cancer Research 139
  • Endocrine and Autonomic Systems 60
  • Neurology 98
  • Molecular Biology 334
Replace Steven W. Criscione with:
Steven W. Criscione United States
Kazutaka Akagi Japan
Paul Essers Netherlands
Yipin Wu United States
Hazel A. Cruickshanks United Kingdom
Linda Clijsters Netherlands
Juliana Benito United States
Ingo Büssing Switzerland
Arneet L. Saltzman Canada
Sadanand Vodala United States
Rong Guo relative to Steven W. Criscione United States Steven W. Criscione's profile →
Citations per field
00.5×8.2×
Steven W. Criscione · 1×
Citations per year

Countries citing papers authored by Rong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Rong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rong Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rong Guo Line = papers co-authored together Rong Guo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2001242
2 200791
3 201262
4 202050
5 200835
6 201913
7 202312
8 201612
9 20016
10 20235
11
[Apoptosis of human lung cancer cells induced by activated peroxisome proliferator-activated receptor-gamma and its mechanism].
20034
12 20232
13 20252
14 20251

About Rong Guo

Rong Guo is a scholar working on Molecular Biology, Cancer Research, Neurology, Pathology and Forensic Medicine and Genetics, having authored 14 papers that have together received 537 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (3 papers), RNA Research and Splicing (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Ubiquitin and proteasome pathways (2 papers) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Aging (125 citations), Cancer Research (139 citations), Endocrine and Autonomic Systems (60 citations), Neurology (98 citations) and Molecular Biology (334 citations). Rong Guo has collaborated with scholars based in United States and China. Frequent co-authors include Huaqi Jiang, Jo Anne Powell‐Coffman, Huaqing Zhao, Michael D. Hogarty, Brian D. Gregory, Pavel Mazánek, Vincent van Dam, Avital Cnaan, Jayanti Jagannathan and Xiang Yu. Their work appears in journals such as Plant Direct, Molecular Cancer Research, Scientific Reports, Genes & Cancer and Frontiers in Cell and Developmental Biology.

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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