Pinglan Lu

524 citations
9 papers · 380 · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery

Papers in

Pinglan Lu

7 papers receiving 377 citations

Peers

Pinglan Lu
Comparison fields: 5 of 71
  • Cancer Research 109
  • Molecular Biology 239
  • Genetics 35
  • Critical Care and Intensive Care Medicine 15
  • Immunology 43
Replace Patrick G. Belvitch with:
Patrick G. Belvitch United States
Hannah Grace Roddie United Kingdom
Yichun He China
Raymond Xu United States
Guan‐Sheng Liu United States
Florian Brandes Germany
Sarah A. Middleton United States
Ena Hašimbegović Austria
Kiel A. Peck United States
Yongchao Zhao China
Pinglan Lu relative to Patrick G. Belvitch United States Patrick G. Belvitch's profile →
Citations per field
00.5×2×3×4.0×
Patrick G. Belvitch · 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

9 of 9 papers shown
#Work
1 2020173
2 2019116
3 202359
4 202014
5 202111
6 20205
7
[Application of plasmapheresis combined with hemofiltration in the treatment of severe liver disease in middle and late pregnancy].
20151
8 20241
9 20240

About Pinglan Lu

Pinglan Lu is a scholar working on Cancer Research, Developmental Neuroscience, Surgery, Hepatology and Neurology, having authored 9 papers that have together received 380 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Neonatal Respiratory Health Research (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), MicroRNA in disease regulation (2 papers), Circular RNAs in diseases (1 paper), Autophagy in Disease and Therapy (1 paper), Anesthesia and Neurotoxicity Research (1 paper) and Congenital Diaphragmatic Hernia Studies (1 paper). The work is most often cited by research in Cancer Research (109 citations), Molecular Biology (239 citations), Genetics (35 citations), Critical Care and Intensive Care Medicine (15 citations) and Immunology (43 citations). Pinglan Lu has collaborated with scholars based in China. Frequent co-authors include Haijin Lv, Xiaomeng Yi, Yuling An, Xuxia Wei, Guihua Chen, Huimin Yi, Xin Yuan Sui, Yang Yang, Lijuan Li and Lijuan Li. Their work appears in journals such as Liver Research, Experimental Cell Research, Advanced Science, Cell Death and Disease and Intensive Care 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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