Yang Lu

1.8k citations
105 papers · 1.5k · h-index 23

Impact in

Papers in

Yang Lu

101 papers receiving 1.5k citations

Peers

Yang Lu
Comparison fields: 5 of 112
  • Developmental Neuroscience 143
  • Pharmacology 250
  • Critical Care and Intensive Care Medicine 86
  • Pharmaceutical Science 86
  • Complementary and alternative medicine 106
Replace Etsuko Miyamoto with:
Etsuko Miyamoto Japan
Yasunori Momose Japan
Yujuan Li China
Duen‐Suey Chou Taiwan
Toru Tamura Japan
Luana Heimfarth Brazil
Lin Ma China
Shan Lu China
Takao Ohyashiki Japan
Jianqiang Yu China
Yang Lu relative to Etsuko Miyamoto Japan Etsuko Miyamoto's profile →
Citations per field
00.5×11.9×
Etsuko Miyamoto · 1×
Citations per year

Countries citing papers authored by Yang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang 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 Yang Lu Line = papers co-authored together Yang 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 202070
2 202159
3 201954
4 201445
5 201544
6 201540
7 200834
8 201933
9 201631
10 201830
11 201129
12 201728
13 201328
14 201928
15 201927
16 202027
17 200826
18 201426
19 201425
20 202025

About Yang Lu

Yang Lu is a scholar working on Molecular Biology, Oncology, Pharmacology, Pharmacology and Developmental Neuroscience, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Anesthesia and Neurotoxicity Research (11 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Pharmacogenetics and Drug Metabolism (10 papers), Intensive Care Unit Cognitive Disorders (10 papers), Flavonoids in Medical Research (9 papers), Natural product bioactivities and synthesis (8 papers) and Traditional Chinese Medicine Analysis (7 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Pharmacology (250 citations), Critical Care and Intensive Care Medicine (86 citations), Pharmaceutical Science (86 citations) and Complementary and alternative medicine (106 citations). Yang Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xijing Chen, Di Zhao, Haiying Sun, Ning Li, Boyang Yu, Ning Li, Di Zhao, Chengzhi Chai, Yue Yang and Xinlin Chen. Their work appears in journals such as Xenobiotica, Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography B, Journal of Pharmaceutical Sciences and Frontiers in Pharmacology.

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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