Ru Yang

4.6k citations
75 papers · 2.0k · h-index 27

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Ru Yang

73 papers receiving 2.0k citations

Peers

Ru Yang
Comparison fields: 5 of 128
  • Neurology 354
  • Neurology 170
  • Biological Psychiatry 48
  • Infectious Diseases 303
  • Developmental Neuroscience 62
Replace Hui Tang with:
Hui Tang China
Claudio Procaccini Italy
Prisco Mirandola Italy
Mario Galgani Italy
Jun Hu China
Farshid Noorbakhsh Iran
Brian J. North United States
Allison Bailey United States
Maciej Radek Poland
Shyuan T. Ngo Australia
Ru Yang relative to Hui Tang China Hui Tang's profile →
Citations per field
00.5×2.9×
Hui Tang · 1×
Citations per year

Countries citing papers authored by Ru Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ru Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020229
2 2007202
3 2014120
4 2019113
5 201387
6 201373
7 201772
8 200058
9 199857
10 201456
11 201554
12 200544
13 201343
14 202040
15 202040
16 202033
17 201932
18 200629
19 200729
20 201129

About Ru Yang

Ru Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Neurology and Immunology, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Endometrial and Cervical Cancer Treatments (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer Cells and Metastasis (4 papers), Prostate Cancer Treatment and Research (4 papers), Cervical Cancer and HPV Research (4 papers) and Aldose Reductase and Taurine (4 papers). The work is most often cited by research in Neurology (354 citations), Neurology (170 citations), Biological Psychiatry (48 citations), Infectious Diseases (303 citations) and Developmental Neuroscience (62 citations). Ru Yang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Wei‐Qiang Gao, Ping Li, Xiliang Zha, Wenwei Li, Huimin Ren, Dingfang Cai, Hui‐Ming Gao, Dezhen Tu, Yun Gao and Jau‐Shyong Hong. Their work appears in journals such as Acupuncture & Electro-Therapeutics Research, PLoS ONE, Transfusion, Advances in experimental medicine and biology and Cell Death and Differentiation.

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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