Wen Lu

3.2k citations
105 papers · 2.3k · 1 hit paper · h-index 24

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 10
    • Cancer-related Molecular Pathways 4
    • Inflammatory Biomarkers in Disease Prognosis 4

Wen Lu

98 papers receiving 2.2k citations

Wen Lu's Hit Papers

Obesity and hypertension 2016 · 303 citations
3030+3+6Years since publication100200300

Peers

Wen Lu
Comparison fields: 5 of 136
  • Immunology 544
  • Endocrinology, Diabetes and Metabolism 273
  • Cancer Research 193
  • Immunology and Allergy 70
  • Obstetrics and Gynecology 73
Replace Andrea Cignarella with:
Andrea Cignarella Italy
Chiara Bolego Italy
Dinghong Min China
Min Xiu China
Joakim Huber Austria
George I. Gorodeski United States
Roy L. Sutliff United States
Byung‐Soo Youn South Korea
Daniel Fishman Israel
Keiko Maeda Japan
Wen Lu relative to Andrea Cignarella Italy Andrea Cignarella's profile →
Citations per field
00.5×1.5×1.8×
Andrea Cignarella · 1×
Citations per year

Countries citing papers authored by Wen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Obesity and hypertension
Hit paper breakdown →
2016303
2 2006217
3 2013178
4 2008118
5 2013110
6 201766
7 202163
8 201663
9 201361
10 200858
11 201356
12 201248
13 202047
14 201946
15 201345
16 201440
17 201039
18 202139
19 202338
20 202136

About Wen Lu

Wen Lu is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Genetics, having authored 105 papers that have together received 2.3k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (10 papers), Neonatal Health and Biochemistry (6 papers), Cannabis and Cannabinoid Research (5 papers), Coronary Interventions and Diagnostics (5 papers), Cancer-related molecular mechanisms research (4 papers), Cancer-related Molecular Pathways (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Immunology (544 citations), Endocrinology, Diabetes and Metabolism (273 citations), Cancer Research (193 citations), Immunology and Allergy (70 citations) and Obstetrics and Gynecology (73 citations). Wen Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Liu, Hongyun Ruan, Mark S. Anderson, Kellsey Johannes, Xiaoxiao Yang, Jason DeVoss, Binghe Wang, Xiaoping Wan, Howard Y. Chang and John L. Rinn. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Journal of Enzyme Inhibition and Medicinal Chemistry, Medicinal Chemistry Research and Journal of Inflammation 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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