Ute Willhoeft

3.7k citations
22 papers · 1.8k · 1 hit paper · h-index 16

Impact in

    • Parasitic Infections and Diagnostics
    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant Virus Research Studies

Papers in

    • Insect Resistance and Genetics 6
    • CRISPR and Genetic Engineering 4
    • RNA and protein synthesis mechanisms 3
    • Amoebic Infections and Treatments 9

Ute Willhoeft

22 papers receiving 1.8k citations

Ute Willhoeft's Hit Papers

LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons 2008 · 955 citations
9550+6+12Years since publication250500750

Peers

Ute Willhoeft
Comparison fields: 5 of 82
  • Parasitology 218
  • Plant Science 975
  • Horticulture 18
  • Insect Science 225
  • Molecular Biology 1.1k
Replace Sean M. Sykes with:
Sean M. Sykes United States
Jesus Aparecido Ferro Brazil
Jiaxin Qu United States
Emmanuelle Lerat France
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Eiji Nagayasu Japan
Françoise Lethiec France
Wolfgang J. Miller Austria
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Ute Willhoeft relative to Sean M. Sykes United States Sean M. Sykes's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ute Willhoeft

Since Specialization
Citations

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

Fields of papers citing papers by Ute Willhoeft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons
Hit paper breakdown →
2008955
2 2009169
3 199698
4 200586
5 199766
6 199961
7 199953
8 199051
9 200133
10 200232
11 200431
12 199028
13 199923
14 199723
15 199916
16 199615
17 200012
18 199511
19 20039
20 19988

About Ute Willhoeft

Ute Willhoeft is a scholar working on Molecular Biology, Infectious Diseases, Parasitology, Surgery and Genetics, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (9 papers), Parasitic Infections and Diagnostics (8 papers), Insect Resistance and Genetics (6 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Evolution and Genetic Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Parasitology (218 citations), Plant Science (975 citations), Horticulture (18 citations), Insect Science (225 citations) and Molecular Biology (1.1k citations). Ute Willhoeft has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Stefan Kurtz, David Ellinghaus, Egbert Tannich, Gérald Franz, Walther Traut, Sascha Steinbiss, Heidrun Buß, Lutz Hamann, Steve Whyard and Peter W. Atkinson. Their work appears in journals such as Protist, Genome, Chromosome Research, Infection and Immunity and Genetica.

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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