Pinglan Lu

496 citations
8 papers · 341 · h-index 5

Impact in

Papers in

    • Extracellular vesicles in disease 3
    • RNA modifications and cancer 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 2

Pinglan Lu

7 papers receiving 339 citations

Peers

Pinglan Lu
Comparison fields: 5 of 73
  • Cancer Research 123
  • Critical Care and Intensive Care Medicine 22
  • Molecular Biology 248
  • Genetics 37
  • Immunology 49
Replace Siou-Ling Tzeng with:
Siou-Ling Tzeng Taiwan
Li Yao China
Marcela Hortová Kohoutková Czechia
Subhojit Paul India
Lauren Dong United States
Florian Brandes Germany
Guan‐Sheng Liu United States
Yichun He China
Kiruphagaran Thangaraju United States
Kejie Mou China
Pinglan Lu relative to Siou-Ling Tzeng Taiwan Siou-Ling Tzeng's profile →
Citations per field
00.5×3.2×
Siou-Ling Tzeng · 1×
Citations per year

Countries citing papers authored by Pinglan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Pinglan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2020165
2 2019110
3 202346
4 202111
5 20205
6 20203
7
[Application of plasmapheresis combined with hemofiltration in the treatment of severe liver disease in middle and late pregnancy].
20151
8 20240

About Pinglan Lu

Pinglan Lu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 341 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Autophagy in Disease and Therapy (2 papers), Circular RNAs in diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cancer Research (123 citations), Critical Care and Intensive Care Medicine (22 citations), Molecular Biology (248 citations), Genetics (37 citations) and Immunology (49 citations). Pinglan Lu has collaborated with scholars based in China. Frequent co-authors include Xuxia Wei, Haijin Lv, Xiaomeng Yi, Yuling An, Guihua Chen, Huimin Yi, Lijuan Li, Yang Yang, Xin Sui and Lijuan Li. Their work appears in journals such as Cell Death and Disease, Experimental Cell Research, Renal Failure, Advanced Science and Annals 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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