Steven G. Carmella
- Health, Toxicology and Mutagenesis top 0.5%
- Air Quality and Health Impacts 20
- Indoor Air Quality and Microbial Exposure 17
- Physiology top 0.5%
- Smoking Behavior and Cessation 69
- Cancer Research top 0.5%
- Carcinogens and Genotoxicity Assessment 55
- Biochemistry top 1%
- Pharmacology top 0.5%
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- Genomics, phytochemicals, and oxidative stress 60
- Glutathione Transferases and Polymorphisms 27
- Nicotinic Acetylcholine Receptors Study 14
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- Synthesis and Biological Evaluation 17
Steven G. Carmella
185 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 157
- Health, Toxicology and Mutagenesis 1.8k
- Physiology 3.1k
- Cancer Research 1.7k
- Biochemistry 453
- Pharmacology 429
Countries citing papers authored by Steven G. Carmella
This map shows the geographic impact of Steven G. Carmella'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 Steven G. Carmella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven G. Carmella more than expected).
Fields of papers citing papers by Steven G. Carmella
This network shows the impact of papers produced by Steven G. Carmella. 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 Steven G. Carmella. The network helps show where Steven G. Carmella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven G. Carmella, 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 | 0 | |
| 2 | 2019 | 19 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2016 | 3 | |
| 7 | 2016 | 15 | |
| 8 | 2014 | 39 | |
| 9 | 2014 | 103 | |
| 10 | 2014 | 32 | |
| 11 | 2013 | 35 | |
| 12 | 2012 | 44 | |
| 13 | 2011 | 102 | |
| 14 | 2009 | 56 | |
| 15 | r-1,t-2,3,c-4-Tetrahydroxy-1,2,3,4-tetrahydrophenanthrene in Human Urine | 2003 | 1 |
| 16 | r-1,t-2,3,c-4-Tetrahydroxy-1,2,3,4-tetrahydrophenanthrene in human urine: a potential biomarker for assessing polycyclic aromatic hydrocarbon metabolic activation. | 2003 | 60 |
| 17 | 1996 | 18 | |
| 18 | Uptake and metabolism of carcinogenic levels of tobacco-specific nitrosamines by Sudanese snuff dippers. | 1994 | 51 |
| 19 | 1993 | 51 | |
| 20 | 1993 | 82 |
About Steven G. Carmella
Steven G. Carmella is a scholar working on Cancer Research, Physiology and Health, Toxicology and Mutagenesis, having authored 190 papers that have together received 7.8k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (69 papers), Genomics, phytochemicals, and oxidative stress (60 papers), Carcinogens and Genotoxicity Assessment (55 papers), Glutathione Transferases and Polymorphisms (27 papers), Air Quality and Health Impacts (20 papers), Indoor Air Quality and Microbial Exposure (17 papers), Synthesis and Biological Evaluation (17 papers) and Nicotinic Acetylcholine Receptors Study (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Physiology (3.1k citations) and Cancer Research (1.7k citations). Steven G. Carmella has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stephen S. Hecht, Sharon E. Murphy, Dorothy K. Hatsukami, Shobha A. Akerkar, Menglan Chen, Irina Stepanov, Chap T. Le, Joni Jensen, Shaomei Han and Pramod Upadhyaya. Their work appears in journals such as New England Journal of Medicine, Accounts of Chemical Research 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.