Danielle E. Khost

467 citations
7 papers · 253 · h-index 5

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Protist diversity and phylogeny 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 1
    • Chromosomal and Genetic Variations 4

Danielle E. Khost

7 papers receiving 252 citations

Peers

Danielle E. Khost
Comparison fields: 5 of 27
  • Plant Science 189
  • Ecology, Evolution, Behavior and Systematics 48
  • Molecular Biology 167
  • Genetics 66
  • Insect Science 22
Replace Iva Vrbová with:
Iva Vrbová Czechia
Yu Quan China
Jasmina Uzunović United States
Laura Ávila Robledillo Czechia
Guilherme Borges Dias Brazil
Marianna Pasquariello Italy
Nicole J. Forrester United States
Tyler V. Kent Canada
Rebecca Bloomer United Kingdom
Beery Yaakov Israel
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Citations per field
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Citations per year

Countries citing papers authored by Danielle E. Khost

Since Specialization
Citations

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

Fields of papers citing papers by Danielle E. Khost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle E. Khost. 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 Danielle E. Khost. The network helps show where Danielle E. Khost may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202179
2 201765
3 202157
4 202041
5 20236
6 20234
7 20251

About Danielle E. Khost

Danielle E. Khost is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology and Genetics, having authored 7 papers that have together received 253 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (4 papers), Protist diversity and phylogeny (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic diversity and population structure (1 paper), Biocrusts and Microbial Ecology (1 paper), Environmental DNA in Biodiversity Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Plant Science (189 citations), Ecology, Evolution, Behavior and Systematics (48 citations), Molecular Biology (167 citations), Genetics (66 citations) and Insect Science (22 citations). Danielle E. Khost has collaborated with scholars based in United States, Malaysia and China. Frequent co-authors include Amanda M. Larracuente, Danna G. Eickbush, Timothy B. Sackton, Sarah Mathews, Charles C. Davis, Liming Cai, M. Sugumaran, Brian Arnold, Lachezar A. Nikolov and Zhenxiang Xi. Their work appears in journals such as Genome Research, Genome Biology and Evolution, Current Biology, Molecular Biology and Evolution and Science.

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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