Manru Ren

582 citations
9 papers · 485 · h-index 8

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Genomics, phytochemicals, and oxidative stress 4
    • Signaling Pathways in Disease 1
    • Sphingolipid Metabolism and Signaling 1
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Manru Ren

9 papers receiving 481 citations

Peers

Manru Ren
Comparison fields: 5 of 84
  • Neurology 182
  • Biological Psychiatry 33
  • Complementary and alternative medicine 54
  • Biochemistry 34
  • Neurology 76
Replace Caixia Zang with:
Caixia Zang China
Daidi Li China
Huanying Shi China
Sonia Mazzitelli Italy
Baojian Guo China
Yuxia Xu China
Junli Ye China
Yue Jia China
Shareen Singh India
Manru Ren relative to Caixia Zang China Caixia Zang's profile →
Citations per field
00.5×3.9×
Caixia Zang · 1×
Citations per year

Countries citing papers authored by Manru Ren

Since Specialization
Citations

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

Fields of papers citing papers by Manru Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Manru Ren, 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 Manru Ren Line = papers co-authored together Manru Ren links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2014100
2 201897
3 201480
4 201560
5 201658
6 201545
7 201624
8 201419
9 20182

About Manru Ren

Manru Ren is a scholar working on Molecular Biology, Neurology, Pathology and Forensic Medicine, Physiology and Immunology, having authored 9 papers that have together received 485 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Inflammation biomarkers and pathways (2 papers), Signaling Pathways in Disease (1 paper), Alzheimer's disease research and treatments (1 paper), Tea Polyphenols and Effects (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Neurology (182 citations), Biological Psychiatry (33 citations), Complementary and alternative medicine (54 citations), Biochemistry (34 citations) and Neurology (76 citations). Manru Ren has collaborated with scholars based in China and United States. Frequent co-authors include Haiyan Lou, Xinbing Wei, Jing Xu, Huanying Shi, Xiumei Zhang, Jie Han, Ruth G. Perez, Ying Guo, Miaomiao Wang and Yue Qin. Their work appears in journals such as Neurochemical Research, Experimental Neurology, International Journal of Nanomedicine, Journal of Neurochemistry and International Journal of Neuroscience.

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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