Bärbel Vieth

9 papers receiving 653 citations

Bärbel Vieth's Hit Papers

Residue analysis of 500 high priority pesticides: Better by GC–MS or LC–MS/MS? 2006 · 504 citations
5040+6+13Years since publication100200300400500

Peers

Bärbel Vieth
Comparison fields: 5 of 100
  • Analytical Chemistry 244
  • Food Science 403
  • Spectroscopy 173
  • Animal Science and Zoology 90
  • Health, Toxicology and Mutagenesis 102
Replace Guo‐Fang Pang with:
Guo‐Fang Pang China
Bengt‐Göran Österdahl Sweden
Harold C. Thompson United States
Maryam Amirahmadi Iran
Satoru Nemoto Japan
Harry M. Pylypiw United States
Zhen Yan China
Ewa Rutkowska Poland
Carmen Palermo Italy
Petr Cuhra Czechia
Bärbel Vieth relative to Guo‐Fang Pang China Guo‐Fang Pang's profile →
Citations per field
00.5×1.5×
Guo‐Fang Pang · 1×
Citations per year

Countries citing papers authored by Bärbel Vieth

Since Specialization
Citations

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

Fields of papers citing papers by Bärbel Vieth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Residue analysis of 500 high priority pesticides: Better by GC–MS or LC–MS/MS?
Hit paper breakdown →
2006504
2 201945
3 200038
4 201237
5 199932
6 200314
7 201111
8 20159
9 20165

About Bärbel Vieth

Bärbel Vieth is a scholar working on Cancer Research, Pharmacology, Health, Toxicology and Mutagenesis, Oncology and Spectroscopy, having authored 9 papers that have together received 695 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Toxic Organic Pollutants Impact (2 papers), Occupational exposure and asthma (1 paper), Dermatologic Treatments and Research (1 paper) and Fashion and Cultural Textiles (1 paper). The work is most often cited by research in Analytical Chemistry (244 citations), Food Science (403 citations), Spectroscopy (173 citations), Animal Science and Zoology (90 citations) and Health, Toxicology and Mutagenesis (102 citations). Bärbel Vieth has collaborated with scholars based in Germany and United States. Frequent co-authors include Lutz Alder, Kerstin Greulich, Günther Kempe, Andreas Luch, Ursula Gundert‐Remy, Barbara Heinrich-Hirsch, Ulrike Bernauer, Karla Pfaff, G.-R. Jänig and Oliver Kappenstein. Their work appears in journals such as Archives of Toxicology, Mass Spectrometry Reviews, Alternatives to Laboratory Animals, Critical Reviews in Toxicology and Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions.

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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