Pu Li

2.2k citations
52 papers · 1.8k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

    • MicroRNA in disease regulation 19
    • Cancer-related molecular mechanisms research 6
    • Circular RNAs in diseases 5
    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 3

Pu Li

52 papers receiving 1.8k citations

Peers

Pu Li
Comparison fields: 5 of 93
  • Cancer Research 887
  • Molecular Biology 1.1k
  • Oncology 286
  • Immunology 147
  • Hepatology 37
Replace Ming Tang with:
Ming Tang China
Jine Yang China
Amy Clem United States
Xuelai Luo China
Meifang Zhang China
Cecilia Battistelli Italy
Daniela S. Daniela Sanchez Bassères Brazil
Shaoquan Zheng China
Giridhar Mudduluru Germany
Yufeng Wang China
Pu Li relative to Ming Tang China Ming Tang's profile →
Citations per field
00.5×4.2×
Ming Tang · 1×
Citations per year

Countries citing papers authored by Pu Li

Since Specialization
Citations

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

Fields of papers citing papers by Pu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015146
2 2014141
3 2012122
4 201389
5 201384
6 201273
7 201368
8 201464
9 201362
10 201560
11 201351
12 201950
13 201448
14 201344
15 201443
16 201340
17 201238
18 201636
19 201434
20 201434

About Pu Li

Pu Li is a scholar working on Cancer Research, Molecular Biology, Oncology, Surgery and Cell Biology, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Cancer Cells and Metastasis (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (3 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Cancer Research (887 citations), Molecular Biology (1.1k citations), Oncology (286 citations), Immunology (147 citations) and Hepatology (37 citations). Pu Li has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Xuehua Chen, Zhenggang Zhu, Bingya Liu, Liping Su, Qu Cai, Hua Tang, Beiqin Yu, Changjun Yin, Qiaoming Zhi and Junqing Wang. Their work appears in journals such as Journal of Translational Medicine, Biomedicine & Pharmacotherapy, Oncotarget, PLoS ONE and Cancer Letters.

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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