Yang Luan

1.7k citations
80 papers · 1.3k · h-index 20

Impact in

Papers in

Yang Luan

76 papers receiving 1.3k citations

Peers

Yang Luan
Comparison fields: 5 of 120
  • Pharmacology 225
  • Health, Toxicology and Mutagenesis 203
  • Cancer Research 189
  • Complementary and alternative medicine 92
  • Toxicology 29
Replace Fatime Geyikoğlu with:
Fatime Geyikoğlu Türkiye
Takayoshi Imazawa Japan
Qian Ba China
Mugimane G. Manjanatha United States
João Marcelo de Castro e Sousa Brazil
Álvaro C. Leitão Brazil
Gordana Joksiċ Serbia
Ratan Singh Ray India
Jatin Kalita India
Changxing Li China
Yang Luan relative to Fatime Geyikoğlu Türkiye Fatime Geyikoğlu's profile →
Citations per field
00.5×1.5×2×2.3×
Fatime Geyikoğlu · 1×
Citations per year

Countries citing papers authored by Yang Luan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201071
3 201071
4 202164
5 201163
6 202058
7 202051
8 201150
9 202150
10 201845
11 201941
12 200735
13 201033
14 201333
15 201532
16 202229
17 201227
18 201826
19 201825
20 202320

About Yang Luan

Yang Luan is a scholar working on Cancer Research, Pharmacology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (19 papers), Nephrotoxicity and Medicinal Plants (15 papers), Drug-Induced Hepatotoxicity and Protection (11 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (8 papers), DNA Repair Mechanisms (6 papers), Heavy Metals in Plants (6 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Pharmacology (225 citations), Health, Toxicology and Mutagenesis (203 citations), Cancer Research (189 citations), Complementary and alternative medicine (92 citations) and Toxicology (29 citations). Yang Luan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jin Ren, Yiyi Cao, Xiang Xue, Jing Xi, Xinming Qi, Likun Gong, X. Z. You, Guozhen Xing, Jun Yao and Yuanfeng Wu. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Mutagenesis, Environmental and Molecular Mutagenesis, Archives of Toxicology and Environmental Pollution.

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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