Pingli Mo

934 citations
34 papers · 715 · h-index 16

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer-related Molecular Pathways 3
    • Hepatocellular Carcinoma Treatment and Prognosis 4

Pingli Mo

33 papers receiving 703 citations

Peers

Pingli Mo
Comparison fields: 5 of 63
  • Oncology 147
  • Cancer Research 76
  • Molecular Biology 346
  • Drug Discovery 1
  • Complementary and alternative medicine 33
Replace Yang Sun with:
Yang Sun China
Marcelo L. Rodríguez‐Puebla United States
Yuli Wang China
Jianyong Xiao China
Yi‐Lin Yang China
Junfeng Shi China
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Pingli Mo relative to Yang Sun China Yang Sun's profile →
Citations per field
00.5×1.5×2.1×
Yang Sun · 1×
Citations per year

Countries citing papers authored by Pingli Mo

Since Specialization
Citations

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

Fields of papers citing papers by Pingli Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201855
3 201049
4 201049
5 201644
6 202036
7 202033
8 201531
9 202031
10 201429
11 202028
12 202228
13 200624
14 202224
15 202220
16 201218
17 202316
18 201815
19 202415
20 201714

About Pingli Mo

Pingli Mo is a scholar working on Oncology, Hepatology, Molecular Biology, Immunology and Cancer Research, having authored 34 papers that have together received 715 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Response and Inflammation (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers), Mast cells and histamine (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Oncology (147 citations), Cancer Research (76 citations), Molecular Biology (346 citations), Drug Discovery (1 citation) and Complementary and alternative medicine (33 citations). Pingli Mo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chundong Yu, Wengang Li, Kesong Peng, Ming Li, Qiang Chen, Hongbo Wang, Chunhong Yan, Jianming Xu, Zhangwei Tong and Shumei Ren. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Cell & Bioscience, Frontiers in Pharmacology and Journal of Pharmaceutical Analysis.

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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