Ping Yan

765 citations
36 papers · 589 · h-index 16

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • RNA Interference and Gene Delivery 2
    • Angiogenesis and VEGF in Cancer 2
    • Signaling Pathways in Disease 2
    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 2

Ping Yan

34 papers receiving 589 citations

Peers

Ping Yan
Comparison fields: 5 of 83
  • Cancer Research 118
  • Geriatrics and Gerontology 14
  • Molecular Biology 302
  • Genetics 41
  • Pathology and Forensic Medicine 42
Replace Liwei Zhang with:
Liwei Zhang China
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Yongjun Fang China
Yan Shen China
Maria Magdalena Barreca Italy
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Subhash Haldar United States
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Ping Yan relative to Liwei Zhang China Liwei Zhang's profile →
Citations per field
00.5×1.5×
Liwei Zhang · 1×
Citations per year

Countries citing papers authored by Ping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201347
3 201835
4 201633
5 202028
6
TWEAK protects cardiomyocyte against apoptosis in a PI3K/AKT pathway dependent manner.
201628
7 201627
8 201525
9 201824
10 202123
11 201922
12 202122
13 201821
14 200820
15 201820
16 201815
17 201314
18 201513
19 202413
20 202112

About Ping Yan

Ping Yan is a scholar working on Molecular Biology, Cancer Research, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 36 papers that have together received 589 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA Interference and Gene Delivery (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Plant Molecular Biology Research (2 papers), Signaling Pathways in Disease (2 papers) and Marine Sponges and Natural Products (2 papers). The work is most often cited by research in Cancer Research (118 citations), Geriatrics and Gerontology (14 citations), Molecular Biology (302 citations), Genetics (41 citations) and Pathology and Forensic Medicine (42 citations). Ping Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoyun Pan, Enxing Xue, Zucheng Luo, Yulong Zhou, Linlin Huang, Jun Xie, Fangfang Wu, Ren‐Ke Li, Rui Guo and Jun Wu. Their work appears in journals such as Organic Letters, Oncology Reports, PROTEOMICS, Oncogene 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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