Sarah Labib

706 citations
9 papers · 566 · h-index 9

Impact in

Papers in

    • Molecular Biology Techniques and Applications 2
    • Metabolomics and Mass Spectrometry Studies 2
    • DNA Repair Mechanisms 1
    • Carcinogens and Genotoxicity Assessment 6

Sarah Labib

9 papers receiving 559 citations

Peers

Sarah Labib
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 200
  • Cancer Research 156
  • Small Animals 31
  • Molecular Biology 262
  • Computational Theory and Mathematics 53
Replace Fabienne M.G.R. Calléja with:
Fabienne M.G.R. Calléja Netherlands
Ume-Kulsoom Shah United Kingdom
Gregory Akerman United States
C Lasne France
Joanna Klapacz United States
Katherine E. Chapman United Kingdom
Lili Qian China
Thibault Ameller France
Yuzuki Nakagawa Japan
Gudrun Friehs Germany
Sarah Labib relative to Fabienne M.G.R. Calléja Netherlands Fabienne M.G.R. Calléja's profile →
Citations per field
00.5×3.1×
Fabienne M.G.R. Calléja · 1×
Citations per year

Countries citing papers authored by Sarah Labib

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sarah Labib Line = papers co-authored together Sarah Labib links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2015128
2 2015104
3 201390
4 201469
5 201549
6 201245
7 201333
8 201531
9 201617

About Sarah Labib

Sarah Labib is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine and Oncology, having authored 9 papers that have together received 566 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Molecular Biology Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Graphene and Nanomaterials Applications (1 paper), Computational Drug Discovery Methods (1 paper), Cancer-related Molecular Pathways (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (200 citations), Cancer Research (156 citations), Small Animals (31 citations), Molecular Biology (262 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, Carole L. Yauk, Sabina Halappanavar, Håkan Wallin, Ulla Vogel, Paul A. White, Jake K. Nikota, Byron Kuo, Ivy D. Moffat and Nikolai L. Chepelev. Their work appears in journals such as Critical Reviews in Toxicology, Archives of Toxicology, Toxicology and Applied Pharmacology, Toxicological Sciences and Particle and Fibre Toxicology.

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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