Chan Lu

5.2k citations
128 papers · 3.5k · h-index 34

Impact in

Papers in

Chan Lu

125 papers receiving 3.5k citations

Peers

Chan Lu
Comparison fields: 5 of 156
  • Health, Toxicology and Mutagenesis 2.0k
  • Speech and Hearing 703
  • Immunology and Allergy 363
  • Pollution 253
  • Environmental Engineering 270
Replace Chris Carlsten with:
Chris Carlsten Canada
Isabelle Momas France
James E. Lockey United States
Josep M. Antó Spain
Patrick Ryan United States
Sandra Baldacci Italy
H-Erich Wichmann Germany
Kari Reijula Finland
Bircan Erbas Australia
Kathleen Belanger United States
Chan Lu relative to Chris Carlsten Canada Chris Carlsten's profile →
Citations per field
00.5×1.5×2.2×
Chris Carlsten · 1×
Citations per year

Countries citing papers authored by Chan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016239
2 2015171
3 2019124
4 2016118
5 2016117
6 2018112
7 2016104
8 201896
9 201974
10 202274
11 202066
12 201666
13 201962
14 201361
15 201857
16 201857
17 201552
18 202052
19 201750
20 202249

About Chan Lu

Chan Lu is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Physiology, Immunology and Allergy and Pollution, having authored 128 papers that have together received 3.5k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (58 papers), Noise Effects and Management (35 papers), Climate Change and Health Impacts (25 papers), Indoor Air Quality and Microbial Exposure (18 papers), Asthma and respiratory diseases (11 papers), Allergic Rhinitis and Sensitization (11 papers), Energy and Environment Impacts (7 papers) and Atmospheric chemistry and aerosols (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.0k citations), Speech and Hearing (703 citations), Immunology and Allergy (363 citations), Pollution (253 citations) and Environmental Engineering (270 citations). Chan Lu has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Qihong Deng, Dan Norbäck, Jan Sundell, Yuguo Li, Yinping Zhang, Zhuohui Zhao, Hua Qian, Baizhan Li, Cuiyun Ou and Juan Wang. Their work appears in journals such as Building and Environment, Environmental Research, Environment International, The Science of The Total Environment and Ecotoxicology and Environmental Safety.

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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