Dane A. Mathiesen

1.1k citations
14 papers · 954 · h-index 11

Impact in

Papers in

Dane A. Mathiesen

14 papers receiving 883 citations

Peers

Dane A. Mathiesen
Comparison fields: 5 of 66
  • Parasitology 811
  • Infectious Diseases 557
  • Insect Science 172
  • Ecology, Evolution, Behavior and Systematics 266
  • Public Health, Environmental and Occupational Health 229
Replace Dieter Rössler with:
Dieter Rössler Germany
Martine Cote France
Joseph J. Temenak United States
Chad S. Brooks United States
Mollie W. Jewett United States
Alexis A. Smith United States
A Kawamura Japan
U E Schaible Germany
Ratree Takhampunya Thailand
Roy D. Meléndez Venezuela
Dane A. Mathiesen relative to Dieter Rössler Germany Dieter Rössler's profile →
Citations per field
00.5×3.9×
Dieter Rössler · 1×
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 1992324
2 1995212
3 1997120
4 199482
5 199459
6 199640
7 199434
8 199723
9 198918
10
Murine pharmacokinetics and metabolism of penclomedine [3,5-dichloro-2,4-dimethoxy-6-(trichloromethyl)pyridine, NSC 338720].
199213
11 198711
12 199110
13 19957
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 954 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (5 papers), Dermatological diseases and infestations (3 papers), Vector-Borne Animal Diseases (3 papers), Cancer therapeutics and mechanisms (2 papers), Cancer Treatment and Pharmacology (2 papers), Insect and Pesticide Research (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Parasitology (811 citations), Infectious Diseases (557 citations), Insect Science (172 citations), Ecology, Evolution, Behavior and Systematics (266 citations) and Public Health, Environmental and Occupational Health (229 citations). Dane A. Mathiesen has collaborated with scholars based in United States, Vietnam 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, Patricia A. Conrad and Carol Glaser. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases, Research in Microbiology, 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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