Lu Yang

57 papers receiving 1.5k citations

Peers

Lu Yang
Comparison fields: 5 of 120
  • Toxicology 418
  • Complementary and alternative medicine 119
  • Virology 55
  • Cancer Research 170
  • Pharmacology 93
Replace Rosanna Filosa with:
Rosanna Filosa Italy
Cheng‐Hao Jin China
Franck Morceau Luxembourg
Jianyou Shi China
Ji Hye Kim United States
Rocı́o Sancho Spain
Jayme L. Dahlin United States
Anna Bielawska Poland
Carlo Pergola Germany
Paulo César Leal Brazil
Lu Yang relative to Rosanna Filosa Italy Rosanna Filosa's profile →
Citations per field
00.5×2.5×
Rosanna Filosa · 1×
Citations per year

Countries citing papers authored by Lu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002355
2 2003197
3 2014188
4
Tannic acid is an inhibitor of CXCL12 (SDF-1alpha)/CXCR4 with antiangiogenic activity.
200377
5 201250
6 201442
7 201738
8 201834
9 200234
10 201533
11 201930
12 201629
13
Dendritic cells as a pharmacological target of traditional Chinese medicine.
200627
14 201526
15 202323
16 201822
17 202022
18 201422
19 201819
20 201119

About Lu Yang

Lu Yang is a scholar working on Pharmacology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology and Food Science, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Pesticide Residue Analysis and Safety (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Musculoskeletal pain and rehabilitation (4 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Toxicology (418 citations), Complementary and alternative medicine (119 citations), Virology (55 citations), Cancer Research (170 citations) and Pharmacology (93 citations). Lu Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin Chen, Joost J. Oppenheim, O. M. Zack Howard, Robert W. Buckheit, Jim A. Turpin, Ning Zhang, Leen‐Jan van Doorn, Anneke K. Raney, Karin Zeh and Todd B. Parsley. Their work appears in journals such as Molecules, Journal of Separation Science, Antimicrobial Agents and Chemotherapy, Journal of Agricultural and Food Chemistry and Stem Cell 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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