Sarah Labib
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Gene expression and cancer classification 2
- Molecular Biology Techniques and Applications 2
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
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- Effects and risks of endocrine disrupting chemicals 4
- Co-authors
- Andrew Williams (8 shared papers)Sabina Halappanavar (9 shared papers)Carole L. Yauk (9 shared papers)Ulla Vogel (2 shared papers)Håkan Wallin (2 shared papers)Paul A. White (4 shared papers)Jake K. Nikota (1 shared paper)Byron Kuo (3 shared papers)
- Journals
- Critical Reviews in Toxicology (2 papers)Archives of Toxicology (2 papers)Oncogene (1 paper)Particle and Fibre Toxicology (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- CanadaNetherlandsDenmark
In The Last Decade
Sarah Labib
10 papers receiving 572 citations
Peers
Comparison fields: 5 of 84
- Health, Toxicology and Mutagenesis 194
- Cancer Research 142
- Small Animals 35
- Molecular Biology 251
- Computational Theory and Mathematics 53
Countries citing papers authored by Sarah Labib
This map shows the geographic impact of Sarah Labib'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 Sarah Labib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Labib more than expected).
Fields of papers citing papers by Sarah Labib
This network shows the impact of papers produced by Sarah Labib. 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 Sarah Labib. The network helps show where Sarah Labib may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Labib, 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 | 2015 | 130 | |
| 2 | 2015 | 105 | |
| 3 | 2013 | 90 | |
| 4 | 2014 | 69 | |
| 5 | 2015 | 50 | |
| 6 | 2012 | 45 | |
| 7 | 2013 | 33 | |
| 8 | 2015 | 31 | |
| 9 | 2016 | 17 | |
| 10 | 2019 | 9 |
About Sarah Labib
Sarah Labib is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Oncology and Computational Theory and Mathematics, having authored 10 papers that have together received 579 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene expression and cancer classification (2 papers), Molecular Biology Techniques and Applications (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (194 citations), Cancer Research (142 citations), Small Animals (35 citations), Molecular Biology (251 citations) and Computational Theory and Mathematics (53 citations). Sarah Labib has collaborated with scholars based in Canada, Netherlands and Denmark. Frequent co-authors include Andrew Williams, Sabina Halappanavar, Carole L. Yauk, Ulla Vogel, Håkan Wallin, Paul A. White, Jake K. Nikota, Byron Kuo, Julie Bourdon-Lacombe and Amal Malik. Their work appears in journals such as Critical Reviews in Toxicology, Archives of Toxicology, Oncogene, Particle and Fibre Toxicology and Toxicology and Applied Pharmacology.
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.