Ute Willhoeft

3.8k citations
23 papers · 1.9k · 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

Ute Willhoeft

23 papers receiving 1.9k citations

Ute Willhoeft's Hit Papers

LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons 2008 · 1.0k citations
1.0k0+6+12Years since publication2505007501000

Peers

Ute Willhoeft
Comparison fields: 5 of 80
  • Parasitology 218
  • Plant Science 993
  • Insect Science 233
  • Horticulture 18
  • Molecular Biology 1.0k
Replace Jesus Aparecido Ferro with:
Jesus Aparecido Ferro Brazil
Jiaxin Qu United States
Sean M. Sykes United States
Gordon Stephen United Kingdom
Aurélie Hua‐Van France
Eiji Nagayasu Japan
Nadeeza Ishmael United States
Sebastián Asurmendi Argentina
Delphine Charif France
Huifang Guo China
Ute Willhoeft relative to Jesus Aparecido Ferro Brazil Jesus Aparecido Ferro's profile →
Citations per field
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Jesus Aparecido Ferro · 1×
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 23 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 →
20081014
2 2009182
3 1996104
4 200589
5 199774
6 199966
7 199062
8 199957
9 200235
10 200434
11 200133
12 199028
13 199924
14 199723
15 199919
16 199616
17 200013
18 199511
19 200310
20 19989

About Ute Willhoeft

Ute Willhoeft is a scholar working on Molecular Biology, Infectious Diseases, Parasitology, Surgery and Insect Science, having authored 23 papers that have together received 1.9k 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), Insect behavior and control techniques (4 papers), Insect-Plant Interactions and Control (4 papers), Evolution and Genetic Dynamics (4 papers) and Insect symbiosis and bacterial influences (4 papers). The work is most often cited by research in Parasitology (218 citations), Plant Science (993 citations), Insect Science (233 citations), Horticulture (18 citations) and Molecular Biology (1.0k 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, David A. O’Brochta and Craig J. Coates. Their work appears in journals such as Protist, Infection and Immunity, Molecular and Biochemical Parasitology, Chromosome Research and Chromosoma.

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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