Denise Kühnert

17.1k citations
42 papers · 6.6k indexed · 1 hit paper · h-index 22
Topics
HIV Research and Treatment (8 papers)Evolution and Genetic Dynamics (8 papers)SARS-CoV-2 and COVID-19 Research (6 papers)

In The Last Decade

Denise Kühnert

38 papers receiving 6.6k citations

Hit Papers

BEAST 2: A Software Platform for Bayesian Evolutionary An...2014202620182022201410002.0k3.0k4.0k

Peers

Denise Kühnert
Comparison fields: 5 of 161
  • Genetics 2.5k
  • Molecular Biology 1.9k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Ecology 1.3k
  • Infectious Diseases 956
Replace Todd A. Castoe with:
Todd A. Castoe United States
Olga Chernomor Austria
Alexandre Hassanin France
Jeffrey B. Joy Canada
Matthew J. Phillips Australia
Thomas K. F. Wong Hong Kong
Tanja Stadler Switzerland
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Denise Kühnert relative to Todd A. Castoe United States Todd A. Castoe's profile →
Citations per field
00.5×6.5×
Todd A. Castoe · 1×
Citations per year

Countries citing papers authored by Denise Kühnert

Since Specialization
Citations

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

Fields of papers citing papers by Denise Kühnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Kühnert

This figure shows the co-authorship network connecting the top 25 collaborators of Denise Kühnert. A scholar is included among the top collaborators of Denise Kühnert 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 Denise Kühnert. Denise Kühnert 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
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 5
6 61
7 18
8 15
9 3
10 15
11 14
12 22
13 36
14 68
15 10
16 83
17 25
18
BEAST 2: A Software Platform for Bayesian Evolutionary Analysisbreakdown →
4936
19 73
20 58

About Denise Kühnert

Denise Kühnert is a scholar working on Virology, Modeling and Simulation and Infectious Diseases, having authored 42 papers that have together received 6.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Evolution and Genetic Dynamics (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Paleontology (909 citations), Ecological Modeling (500 citations) and Genetics (2.5k citations). Denise Kühnert has collaborated with scholars based in Germany, Switzerland and New Zealand. Frequent co-authors include Alexei J. Drummond, Chieh‐Hsi Wu, Remco Bouckaert, Dong Xie, Marc A. Suchard, Joseph Heled, Andrew Rambaut, Tanja Stadler, Sebastian Bonhoeffer and Timothy G. Vaughan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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