Pu Li

812 citations
57 papers · 535 · h-index 13

Impact in

    • Hepatitis C virus research
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies
    • Autophagy in Disease and Therapy

Papers in

    • RNA Interference and Gene Delivery 2
    • Renal and related cancers 2
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Epigenetics and DNA Methylation 2
    • Renal cell carcinoma treatment 3
    • Ferroptosis and cancer prognosis 3

Pu Li

51 papers receiving 530 citations

Peers

Pu Li
Comparison fields: 5 of 89
  • Hepatology 37
  • Epidemiology 111
  • Otorhinolaryngology 14
  • Cancer Research 47
  • Pulmonary and Respiratory Medicine 80
Replace Masahiro Ogawa with:
Masahiro Ogawa Japan
Gennett M. Myhre United States
Ali Rıza Köksal Türkiye
Mieke De Buck Belgium
Georgios Trimis Greece
Hiroki Shimizu Japan
Chongzhe Yang China
Kenji Gonda Japan
Afsaneh Mozaffarian United States
Pu Li relative to Masahiro Ogawa Japan Masahiro Ogawa's profile →
Citations per field
00.5×4.6×
Masahiro Ogawa · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201241
3 201740
4 201629
5 202029
6 202027
7 201921
8 201417
9 202215
10 201814
11 201414
12 201414
13 201513
14 200012
15 201611
16 201111
17 202210
18 201710
19 201310
20 201810

About Pu Li

Pu Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Immunology, having authored 57 papers that have together received 535 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (3 papers), Ferroptosis and cancer prognosis (3 papers), RNA Interference and Gene Delivery (2 papers), Renal and related cancers (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hepatology (37 citations), Epidemiology (111 citations), Otorhinolaryngology (14 citations), Cancer Research (47 citations) and Pulmonary and Respiratory Medicine (80 citations). Pu Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Weixian Chen, Qin Hu, Liang Duan, Jie Li, Lei Liu, Qiao He, Wai Ting Chan, Dandan Li, Jing Shi and Qiwen Chen. Their work appears in journals such as PLoS ONE, Biomarkers in Medicine, Mutagenesis, Frontiers in Cellular and Infection Microbiology and Journal of Translational 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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