Pu Li

1.7k citations
77 papers · 1.2k · h-index 21

Impact in

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

Papers in

Pu Li

69 papers receiving 1.2k citations

Peers

Pu Li
Comparison fields: 5 of 99
  • Cancer Research 361
  • Molecular Biology 661
  • Pulmonary and Respiratory Medicine 284
  • Oncology 97
  • Urology 20
Replace Martin Braun with:
Martin Braun Germany
Hongchao He China
Jun Xiao China
Zhongwen Zhou China
Lian Xu China
Yidong Fan China
L. Ralph Rohr United States
Javier Barallobre‐Barreiro United Kingdom
Hongzhou Cai China
Jingjing Zeng China
Pu Li relative to Martin Braun Germany Martin Braun's profile →
Citations per field
00.5×1.5×1.8×
Martin Braun · 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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 201281
3 201354
4 201149
5 201248
6 201243
7 201243
8 199939
9 201234
10 201233
11 201633
12 201730
13 202127
14 201226
15 201326
16 201426
17 201725
18 201322
19 202121
20 201121

About Pu Li

Pu Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Urology, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), DNA Repair Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers) and Urinary Bladder and Prostate Research (3 papers). The work is most often cited by research in Cancer Research (361 citations), Molecular Biology (661 citations), Pulmonary and Respiratory Medicine (284 citations), Oncology (97 citations) and Urology (20 citations). Pu Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chao Qin, Changjun Yin, Pengfei Shao, Xiaobing Ju, Qiang Cao, Xiaoxin Meng, Zhengdong Zhang, Zengjun Wang, Meilin Wang and Lixin Hua. Their work appears in journals such as PLoS ONE, Urology, Oncotarget, Journal of Endourology and BioMed Research International.

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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