Chen Lu

680 citations
28 papers · 375 · h-index 11

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • Glycosylation and Glycoproteins Research 2
    • Gut microbiota and health 2
    • Renal Diseases and Glomerulopathies 8
    • Chronic Kidney Disease and Diabetes 3

Chen Lu

25 papers receiving 372 citations

Peers

Chen Lu
Comparison fields: 5 of 84
  • Nephrology 111
  • Biological Psychiatry 10
  • Molecular Biology 193
  • Cancer Research 40
  • Physiology 63
Replace Melissa Major with:
Melissa Major United States
Wenlong Wu China
Gloria Michelle Ducasa United States
Zunsong Wang China
Qianyun Guo China
Jun Xue China
Marinez O. Sousa Brazil
Conxita Jacobs-Cachá Spain
Tali Zitman‐Gal Israel
Baoqi Fan Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Chen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201876
3 201841
4 201725
5 201923
6 201818
7 201816
8 201913
9 201812
10 202010
11 201010
12 20189
13 20189
14
[The relationship of temperature and stroke incidence in Beijing: a time-series study].
20048
15 20197
16 20136
17 20193
18 20152
19 20152
20
Correlation between TCRCalpha -560 C/T polymorphism and the clinical presentation of Uygur IgA nephropathy patients in XinJiang.
20112

About Chen Lu

Chen Lu is a scholar working on Molecular Biology, Nephrology, Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 375 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Global Health Care Issues (2 papers), Gut microbiota and health (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Nephrology (111 citations), Biological Psychiatry (10 citations), Molecular Biology (193 citations), Cancer Research (40 citations) and Physiology (63 citations). Chen Lu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Kun Ling, Bi Cheng Liu, Xiong Z. Ruan, Jian Lü, Pei Pei Chen, Ze Bo Hu, Gui Hua Wang, Liang Liu, Yang Zhang and Shufen Yang. Their work appears in journals such as BMC Nephrology, International Journal of Medical Sciences, BMC Pulmonary Medicine, International Journal of Biological Sciences and Kidney & Blood Pressure Research.

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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