Natalie Kummer

448 citations
15 papers · 340 · h-index 11

Impact in

Papers in

    • Forensic Toxicology and Drug Analysis 10
    • Metabolomics and Mass Spectrometry Studies 3
    • Bacillus and Francisella bacterial research 2

Natalie Kummer

15 papers receiving 333 citations

Peers

Natalie Kummer
Comparison fields: 5 of 74
  • Toxicology 192
  • Pathology and Forensic Medicine 149
  • Pharmacology 69
  • Spectroscopy 50
  • Analytical Chemistry 28
Replace Francesca Freni with:
Francesca Freni Italy
Mireille De Doncker Belgium
Meejung Park South Korea
Shuntaro Matsuta Japan
Yonghoon Park South Korea
Carol L. O'Neal United States
John Wicks United Kingdom
Eric S. Lavins United States
Sebastian Rojek Poland
Charline Bottinelli France
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Citations per field
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Citations per year

Countries citing papers authored by Natalie Kummer

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Kummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Natalie Kummer, 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 Natalie Kummer Line = papers co-authored together Natalie Kummer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201569
2 201438
3 201334
4 201631
5 201331
6 201429
7 201426
8 201624
9 201316
10 201513
11 202010
12 20228
13 20195
14 20224
15 20242

About Natalie Kummer

Natalie Kummer is a scholar working on Toxicology, Molecular Biology, Pathology and Forensic Medicine, Safety Research and Genetics, having authored 15 papers that have together received 340 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (10 papers), Alcohol Consumption and Health Effects (5 papers), Forensic Fingerprint Detection Methods (4 papers), Forensic and Genetic Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bacillus and Francisella bacterial research (2 papers), Analytical Chemistry and Chromatography (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Toxicology (192 citations), Pathology and Forensic Medicine (149 citations), Pharmacology (69 citations), Spectroscopy (50 citations) and Analytical Chemistry (28 citations). Natalie Kummer has collaborated with scholars based in Belgium, Switzerland and Australia. Frequent co-authors include Nele Samyn, Sarah M.R. Wille, Vincent Di Fazio, María del Mar Ramírez Fernández, Willy E. Lambert, Christophe P. Stove, Paul Verbanck, Catherine Hanak, Céline Weyermann and Olivier Delémont. Their work appears in journals such as Therapeutic Drug Monitoring, Journal of Chromatography B, Journal of Analytical Toxicology, Forensic Science International and Analytical and Bioanalytical Chemistry.

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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