Jun Lü

3.2k citations
129 papers · 2.1k · h-index 26

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Forest Insect Ecology and Management 11
    • Wildlife Ecology and Conservation 5

Jun Lü

124 papers receiving 2.1k citations

Peers

Jun Lü
Comparison fields: 5 of 144
  • Health, Toxicology and Mutagenesis 339
  • Cancer Research 327
  • Atmospheric Science 360
  • Automotive Engineering 189
  • Environmental Engineering 186
Replace Yaosheng Chen with:
Yaosheng Chen China
Ye Wang China
Xiaoxia Wang China
He Finland
Yang Sun China
Hua‐Feng Wang China
Xiaohui Zhang China
Chongbo He China
Jianglin Li China
Jun Lü relative to Yaosheng Chen China Yaosheng Chen's profile →
Citations per field
00.5×1.5×2.0×
Yaosheng Chen · 1×
Citations per year

Countries citing papers authored by Jun Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 201595
3 201494
4 202264
5 202264
6 200664
7 201855
8 201455
9 201754
10 201152
11 201552
12 201649
13 201748
14 200746
15 202041
16 201437
17 202037
18 201134
19 202333
20 202133

About Jun Lü

Jun Lü is a scholar working on Molecular Biology, Ecology, Automotive Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vehicle emissions and performance (13 papers), Atmospheric chemistry and aerosols (13 papers), Air Quality and Health Impacts (12 papers), Forest Insect Ecology and Management (11 papers), Insect and Pesticide Research (9 papers), Bladder and Urothelial Cancer Treatments (6 papers), Wildlife Ecology and Conservation (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (339 citations), Cancer Research (327 citations), Atmospheric Science (360 citations), Automotive Engineering (189 citations) and Environmental Engineering (186 citations). Jun Lü has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Cheng Huang, Junhang Luo, Shengao Jing, Jinhuan Wei, Yong Fang, Zhenhua Chen, Hongli Wang, Yigang Tong, Zihao Feng and Yihui Pan. Their work appears in journals such as Oncogene, PeerJ, Cancer Research, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and PLoS ONE.

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.

Explore authors with similar magnitude of impact