Kun Lü
- Health, Toxicology and Mutagenesis top 0.5%
- Indoor Air Quality and Microbial Exposure 15
- Health, Environment, Cognitive Aging 9
- Air Quality and Health Impacts 8
- Effects and risks of endocrine disrupting chemicals 8
- Biological Psychiatry top 2%
- Environmental Chemistry top 2%
- Arsenic contamination and mitigation 14
- Nutrition and Dietetics top 1%
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment 16
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- Gut microbiota and health 41
- Metabolomics and Mass Spectrometry Studies 11
- Co-authors
- Hongyu RuLiang ChiPengcheng TuBei GaoXiaoming BianJames A. SwenbergBenjamin C. MoellerJames G. Fox
- Journals
- Chemical Research in Toxicology (17 papers)Toxicological Sciences (7 papers)Environmental Health Perspectives (6 papers)
- Partner nations
- United StatesChinaSouth Africa
In The Last Decade
Kun Lü
106 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Health, Toxicology and Mutagenesis 1.3k
- Biological Psychiatry 187
- Environmental Chemistry 458
- Nutrition and Dietetics 682
- Cancer Research 565
Countries citing papers authored by Kun Lü
This map shows the geographic impact of Kun 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 Kun Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lü more than expected).
Fields of papers citing papers by Kun Lü
This network shows the impact of papers produced by Kun 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 Kun Lü. The network helps show where Kun Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 136 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 71 | |
| 13 | 2019 | 50 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 41 | |
| 16 | 2018 | 50 | |
| 17 | 2017 | 37 | |
| 18 | 2017 | 23 | |
| 19 | 2013 | 23 | |
| 20 | 2010 | 71 |
About Kun Lü
Kun Lü is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Biological Psychiatry, Cancer Research and Process Chemistry and Technology, having authored 115 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gut microbiota and health (41 papers), Carcinogens and Genotoxicity Assessment (16 papers), Indoor Air Quality and Microbial Exposure (15 papers), Arsenic contamination and mitigation (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Health, Environment, Cognitive Aging (9 papers), Air Quality and Health Impacts (8 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Biological Psychiatry (187 citations), Environmental Chemistry (458 citations), Nutrition and Dietetics (682 citations) and Cancer Research (565 citations). Kun Lü has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Hongyu Ru, Liang Chi, Pengcheng Tu, Bei Gao, Xiaoming Bian, James A. Swenberg, Benjamin C. Moeller, James G. Fox, Yunjia Lai and Ridwan Mahbub. Their work appears in journals such as Chemical Research in Toxicology, Toxicological Sciences, Environmental Health Perspectives, Journal of Proteome Research and ACS Omega.
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.