Marion Pavlic

1.1k total citations
32 papers, 786 citations indexed

About

Marion Pavlic is a scholar working on Toxicology, Molecular Biology and Pharmacology. According to data from OpenAlex, Marion Pavlic has authored 32 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Toxicology, 8 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Marion Pavlic's work include Forensic Toxicology and Drug Analysis (9 papers), Analytical Chemistry and Chromatography (5 papers) and Cannabis and Cannabinoid Research (5 papers). Marion Pavlic is often cited by papers focused on Forensic Toxicology and Drug Analysis (9 papers), Analytical Chemistry and Chromatography (5 papers) and Cannabis and Cannabinoid Research (5 papers). Marion Pavlic collaborates with scholars based in Austria, Thailand and Germany. Marion Pavlic's co-authors include Kathrin Libiseller, Herbert Oberacher, Petra Grubwieser, Harald Niederstätter, Walther Parson, Birthe Schubert, Harald Köfeler, Michael Sulyok, Rainer Schuhmacher and Edina Csaszar and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Marion Pavlic

30 papers receiving 760 citations

Peers

Marion Pavlic
Comparison fields: 5 of 102
  • Molecular Biology 355
  • Spectroscopy 216
  • Genetics 158
  • Toxicology 98
  • Epidemiology 91
Replace Masaki Hashiyada with:
Masaki Hashiyada Japan
Corinne Buisson France
Thomas Stimpfl Austria
Akiko Tsuji Japan
Erik J. Saude Canada
Youkichi Ohno Japan
Gilles Tournel France
Ryoji Matoba Japan
Annette Thierauf Germany
M. Deveaux France
Masaki Hashiyada Japan View profile →
Citations per field, relative to Marion Pavlic
Marion Pavlic · 1×
Citations per year, relative to Marion Pavlic
Marion Pavlic · 1×

Countries citing papers authored by Marion Pavlic

Since Specialization
Citations

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

Fields of papers citing papers by Marion Pavlic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Pavlic

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Pavlic. A scholar is included among the top collaborators of Marion Pavlic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marion Pavlic. Marion Pavlic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 54
4 6
5 13
6 23
7 25
8 6
9 81
10 79
11 11
12 49
13 91
14 5
15 79
16 10
17 11
18 15
19 4
20 13

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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