Qing Lan

86.0k citations
352 papers · 10.1k indexed · h-index 56

Qing Lan

336 papers receiving 10.0k citations

Peers

Qing Lan
Comparison fields: 5 of 183
  • Health, Toxicology and Mutagenesis 2.9k
  • Cancer Research 2.4k
  • Chemical Health and Safety 74
  • Pollution 1.1k
  • Molecular Biology 3.5k
Replace Keith A. Houck with:
Keith A. Houck United States
Nathaniel Rothman United States
Kathryn Z. Guyton United States
Nathaniel Rothman United States
Michael C.R. Alavanja United States
Regina M. Santella United States
Jane A. Hoppin United States
Pier Alberto Bertazzi Italy
Karl T. Kelsey United States
Debra T. Silverman United States
Qing Lan relative to Keith A. Houck United States Keith A. Houck's profile →
Citations per field
00.5×1.5×1.8×
Keith A. Houck · 1×
Citations per year

Countries citing papers authored by Qing Lan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20244
4 20233
5 20232
6 202220
7 202215
8 20213
9 202128
10 201918
11 201839
12 201810
13 201713
14 201627
15 201425
16 201314
17 201117
18
Coal combustion and lung cancer risk in XuanWei: a possible role of silica?
201111
19 200985
20 200626

About Qing Lan

Qing Lan is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Pollution, having authored 352 papers that have together received 10.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (91 papers), Carcinogens and Genotoxicity Assessment (70 papers), Energy and Environment Impacts (34 papers), Health, Environment, Cognitive Aging (22 papers), Acute Lymphoblastic Leukemia research (20 papers), Lymphoma Diagnosis and Treatment (19 papers), Glutathione Transferases and Polymorphisms (18 papers) and Epigenetics and DNA Methylation (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.9k citations), Cancer Research (2.4k citations) and Chemical Health and Safety (74 citations). Qing Lan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Nathaniel Rothman, Roel Vermeulen, Minxue Shen, H. Dean Hosgood, Xingzhou He, Robert S. Chapman, Stephen J. Chanock, Wei Hu, Martyn T. Smith and Luoping Zhang. Their work appears in journals such as International Journal of Cancer, Carcinogenesis, Environmental Health Perspectives, Cancer Epidemiology Biomarkers & Prevention and Occupational and Environmental Medicine.

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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