Ling Lu

1.2k citations
26 papers · 1.0k · h-index 12

Impact in

Papers in

Ling Lu

25 papers receiving 994 citations

Peers

Ling Lu
Comparison fields: 5 of 113
  • Health, Toxicology and Mutagenesis 185
  • Immunology 284
  • Rheumatology 132
  • Oncology 199
  • Virology 34
Replace Michael J. Duryee with:
Michael J. Duryee United States
A. Bernard France
Asiya Seema Chida United States
Motoyoshi Yano Japan
Terence Law United States
Elen Jazrawi United Kingdom
Boris Rolinski Germany
Mitsuyoshi Utsugi Japan
Donald Giacherio United States
Detlef Lang Germany
Ling Lu relative to Michael J. Duryee United States Michael J. Duryee's profile →
Citations per field
00.5×8.5×
Michael J. Duryee · 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 1999400
2 2004139
3 200499
4 200283
5 200154
6 200449
7 200139
8 200229
9
Lymphocytes induce monocyte chemoattractant protein-1 production by renal cells after Fc gamma receptor cross-linking: role of IL-1beta.
200115
10 199214
11 202111
12 199511
13 202410
14 202310
15 200110
16 20229
17
Elevated serum anti-endothelial cell autoantibodies titer is associated with lupus nephritis in patients with systemic lupus erythematosus.
20077
18 20226
19 19936
20 20225

About Ling Lu

Ling Lu is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Pharmacology and Rheumatology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Systemic Lupus Erythematosus Research (4 papers), Ovarian function and disorders (4 papers), Analytical Chemistry and Chromatography (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Advanced Chemical Physics Studies (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (185 citations), Immunology (284 citations), Rheumatology (132 citations), Oncology (199 citations) and Virology (34 citations). Ling Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Brad H. Rovin, Ramesh Saxena, Long-lian Zhang, Wei Zheng, Xiaolan Zhang, Ping Wu, William A. Wilmer, Chaolin Huang, Xilin Chen and Huijuan Song. Their work appears in journals such as Kidney International, Frontiers in Endocrinology, Biochemical and Biophysical Research Communications, Journal of Leukocyte Biology and Journal of Mass Spectrometry.

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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