Runjing Cao

416 citations
12 papers · 337 · h-index 9

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Inflammasome and immune disorders 2
    • Sphingolipid Metabolism and Signaling 2

Runjing Cao

12 papers receiving 336 citations

Peers

Runjing Cao
Comparison fields: 5 of 60
  • Neurology 71
  • Immunology 108
  • Biological Psychiatry 9
  • Geriatrics and Gerontology 9
  • Aging 5
Replace Zhanfeng Liang with:
Zhanfeng Liang China
Lin-Jing Li China
George Sun United States
Yongli Pan China
Jiangyuan Gao Canada
Yandi Yang China
Yueran Cui China
Zhongqi Bu China
Amir R. Vosoughi Canada
Laura Cubas-Núñez Spain
Runjing Cao relative to Zhanfeng Liang China Zhanfeng Liang's profile →
Citations per field
00.5×1.5×2.4×
Zhanfeng Liang · 1×
Citations per year

Countries citing papers authored by Runjing Cao

Since Specialization
Citations

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

Fields of papers citing papers by Runjing Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Runjing Cao, 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 Runjing Cao Line = papers co-authored together Runjing Cao links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016116
2 202251
3 201745
4 201829
5 201526
6 202020
7 202217
8 201917
9 20238
10 20244
11 20252
12 20232

About Runjing Cao

Runjing Cao is a scholar working on Molecular Biology, Immunology, Oncology, Neurology and Neurology, having authored 12 papers that have together received 337 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), NF-κB Signaling Pathways (2 papers), Inflammasome and immune disorders (2 papers), Peripheral Neuropathies and Disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Neurology (71 citations), Immunology (108 citations), Biological Psychiatry (9 citations), Geriatrics and Gerontology (9 citations) and Aging (5 citations). Runjing Cao has collaborated with scholars based in China and United States. Frequent co-authors include Yafei Sun, Huiqing Hou, Li Guo, Xiaoqian Liu, Bin Li, Tian Tian, Juan Gao, Yun Xu, Jun Miao and Meijuan Zhang. Their work appears in journals such as Journal of Neuroimmunology, The Journal of Immunology, Journal of Neuroinflammation, Neurochemical Research and International Immunopharmacology.

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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