Dane A. Mathiesen

1.1k citations
14 papers · 873 · h-index 11

Impact in

Papers in

Dane A. Mathiesen

14 papers receiving 834 citations

Peers

Dane A. Mathiesen
Comparison fields: 5 of 65
  • Parasitology 750
  • Infectious Diseases 553
  • Insect Science 174
  • Ecology, Evolution, Behavior and Systematics 251
  • Public Health, Environmental and Occupational Health 248
Replace Martine Cote with:
Martine Cote France
Joseph J. Temenak United States
Ratree Takhampunya Thailand
Chad S. Brooks United States
A Kawamura Japan
Melisha R. Kenedy United States
Nils Burman Sweden
U E Schaible Germany
Alexis A. Smith United States
Anneke Oei Netherlands
Dane A. Mathiesen relative to Martine Cote France Martine Cote's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dane A. Mathiesen

Since Specialization
Citations

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

Fields of papers citing papers by Dane A. Mathiesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dane A. Mathiesen. 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 Dane A. Mathiesen. The network helps show where Dane A. Mathiesen may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1992307
2 1995187
3 1997114
4 199472
5 199452
6 199638
7 199428
8 199721
9 198917
10
Murine pharmacokinetics and metabolism of penclomedine [3,5-dichloro-2,4-dimethoxy-6-(trichloromethyl)pyridine, NSC 338720].
199213
11 199110
12 198710
13 19953
14 19891

About Dane A. Mathiesen

Dane A. Mathiesen is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Molecular Biology, having authored 14 papers that have together received 873 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (4 papers), Dermatological diseases and infestations (3 papers), Cancer Treatment and Pharmacology (2 papers), Insect and Pesticide Research (2 papers), Cancer therapeutics and mechanisms (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Parasitology (750 citations), Infectious Diseases (553 citations), Insect Science (174 citations), Ecology, Evolution, Behavior and Systematics (251 citations) and Public Health, Environmental and Occupational Health (248 citations). Dane A. Mathiesen has collaborated with scholars based in United States and France. Frequent co-authors include David H. Persing, John W. Thomford, Sam R. Telford, Andrew Spielman, P. A. Conrad, W.F. Marshall, Robert S. Lane, Barbara L. Herwaldt, Peter J. Krause and Carol Glaser. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, Investigational New Drugs, Infection and Immunity and New England Journal of Medicine.

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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