Peihao Yin

5.3k citations
166 papers · 4.1k indexed · h-index 39

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Toxicology top 1%

Papers in

    • Cancer-related molecular mechanisms research 14
    • MicroRNA in disease regulation 13
    • Cancer, Hypoxia, and Metabolism 10

Peihao Yin

152 papers receiving 4.1k citations

Peers

Peihao Yin
Comparison fields: 5 of 173
  • Cancer Research 855
  • Toxicology 129
  • Biomaterials 394
  • Molecular Biology 1.9k
  • Complementary and alternative medicine 193
Replace Saurabh Kumar Jha with:
Saurabh Kumar Jha India
Lei Zhong China
Jianye Zhang China
Yihua Zhang China
Hani Choudhry Saudi Arabia
Xiaolan Zhang China
Miguel Ángel Medina Spain
Kiran Kalia India
Dar‐Ren Chen Taiwan
Yuanyuan Zhang China
Peihao Yin relative to Saurabh Kumar Jha India Saurabh Kumar Jha's profile →
Citations per field
00.5×1.5×2.1×
Saurabh Kumar Jha · 1×
Citations per year

Countries citing papers authored by Peihao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Peihao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20257
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5 20252
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12 20236
13 20220
14 20219
15 202013
16 201833
17 201538
18 201527
19 201414
20
PRODWEAKFINDER: AN INFORMATION EXTRACTION SYSTEM FOR DETECTING PRODUCT WEAKNESSES IN ONLINE REVIEWS BASED ON SENTIMENT ANALYSIS
20142

About Peihao Yin

Peihao Yin is a scholar working on Cancer Research, Toxicology, Oncology, Biomaterials and Molecular Biology, having authored 166 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Nanoparticle-Based Drug Delivery (13 papers), MicroRNA in disease regulation (13 papers), Cancer, Hypoxia, and Metabolism (10 papers), Circular RNAs in diseases (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (8 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Cancer Research (855 citations), Toxicology (129 citations), Biomaterials (394 citations), Molecular Biology (1.9k citations) and Complementary and alternative medicine (193 citations). Peihao Yin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ke Xu, Yanyan Qiu, Zeting Yuan, Hongwei Wang, Xin Liang, Irfan Essa, Qi Li, Jianwen Liu, Qingfeng Tang and Yueping Zhan. Their work appears in journals such as International Journal of Nanomedicine, APOPTOSIS, Tumor Biology, Oncotarget and Evidence-based Complementary and Alternative Medicine.

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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