Yaping Yang

4.0k citations
107 papers · 2.9k · h-index 29

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • Calcium signaling and nucleotide metabolism

Papers in

    • Autophagy in Disease and Therapy 17
    • Parkinson's Disease Mechanisms and Treatments 17
    • Neuroinflammation and Neurodegeneration Mechanisms 5

Yaping Yang

103 papers receiving 2.9k citations

Peers

Yaping Yang
Comparison fields: 5 of 126
  • Neurology 289
  • Neurology 416
  • Physiology 119
  • Epidemiology 795
  • Biological Psychiatry 49
Replace Ashok Kumar with:
Ashok Kumar India
Diego Vezzola Italy
Dimitry Ofengeim United States
Giamberto Casini Italy
Dong‐Hyung Cho South Korea
Stefano Thellung Italy
Marc Germain Canada
Mansour Akbari Norway
Joo‐Ho Shin South Korea
Vinay Choubey Estonia
Yaping Yang relative to Ashok Kumar India Ashok Kumar's profile →
Citations per field
00.5×1.6×
Ashok Kumar · 1×
Citations per year

Countries citing papers authored by Yaping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013305
2 2005178
3 2018150
4 201099
5 201090
6 201590
7 201078
8 201475
9 201574
10 202270
11 201167
12 200765
13 199263
14 201559
15 200654
16 201850
17 201450
18 200848
19 201648
20 201746

About Yaping Yang

Yaping Yang is a scholar working on Epidemiology, Neurology, Oncology, Cancer Research and Molecular Biology, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (17 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Breast Cancer Treatment Studies (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Advanced Breast Cancer Therapies (4 papers), Breast Lesions and Carcinomas (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Neurology (289 citations), Neurology (416 citations), Physiology (119 citations), Epidemiology (795 citations) and Biological Psychiatry (49 citations). Yaping Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chun‐Feng Liu, Chengjie Mao, Li‐Fang Hu, Zheng‐Hong Qin, Zhong‐Qin Liang, Zhen‐Lun Gu, Hui-fen Zheng, Weidong Hu, Fen Wang and Fen Wang. Their work appears in journals such as Acta Pharmacologica Sinica, Annals of Translational Medicine, The Oncologist, BMC Cancer and PLoS ONE.

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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