Ling Lu

1.3k citations
26 papers · 1.0k · h-index 12

Impact in

Papers in

Ling Lu

25 papers receiving 1.0k citations

Peers

Ling Lu
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 173
  • Immunology 188
  • Rheumatology 102
  • Virology 29
  • Oncology 159
Replace Motoyoshi Yano with:
Motoyoshi Yano Japan
Mitsuyoshi Utsugi Japan
Detlef Lang Germany
Terence Law United States
Shigeki Sawada Japan
Zubair A. Karim United States
Benjamin S. Rayner Australia
Peipei Lu China
Hisashi Horiguchi Japan
Ling Lu relative to Motoyoshi Yano Japan Motoyoshi Yano's profile →
Citations per field
00.5×5.5×
Motoyoshi Yano · 1×
Citations per year

Countries citing papers authored by Ling Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999401
2 2004140
3 2004101
4 200283
5 200154
6 200449
7 200139
8 200229
9 202415
10
Lymphocytes induce monocyte chemoattractant protein-1 production by renal cells after Fc gamma receptor cross-linking: role of IL-1beta.
200115
11 199214
12 202312
13 202211
14 199511
15 202111
16 200110
17 20248
18
Elevated serum anti-endothelial cell autoantibodies titer is associated with lupus nephritis in patients with systemic lupus erythematosus.
20077
19 19936
20 20226

About Ling Lu

Ling Lu is a scholar working on Molecular Biology, Pharmacology, Rheumatology, Public Health, Environmental and Occupational Health and Spectroscopy, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Systemic Lupus Erythematosus Research (3 papers), Analytical Chemistry and Chromatography (3 papers), T-cell and B-cell Immunology (2 papers), Advanced Chemical Physics Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (173 citations), Immunology (188 citations), Rheumatology (102 citations), Virology (29 citations) and Oncology (159 citations). Ling Lu has collaborated with scholars based in United States, China and Serbia. Frequent co-authors include Brad H. Rovin, Ramesh Saxena, Long-lian Zhang, Wei Zheng, Xiaolan Zhang, Ping Wu, William A. Wilmer, Chaolin Huang, Huijuan Song and Xilin Chen. Their work appears in journals such as Kidney International, Biochemical and Biophysical Research Communications, Frontiers in Endocrinology, Foods and Frontiers in Nutrition.

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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