Ute Hornung

2.1k total citations · 1 hit paper
21 papers, 1.7k citations indexed

About

Ute Hornung is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Ute Hornung has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Ute Hornung's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Animal Genetics and Reproduction (9 papers) and Reproductive biology and impacts on aquatic species (7 papers). Ute Hornung is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Animal Genetics and Reproduction (9 papers) and Reproductive biology and impacts on aquatic species (7 papers). Ute Hornung collaborates with scholars based in Germany, Japan and Australia. Ute Hornung's co-authors include Manfred Schartl, Mariko Kondo, Indrajit Nanda, Michael Schmid, Akihiro Shima, Shuichi Asakawa, Nobuyoshi Shimizu, Christoph Winkler, Atsushi Shimizu and Thomas Haaf and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Current Biology.

In The Last Decade

Ute Hornung

21 papers receiving 1.7k citations

Hit Papers

A duplicated copy of DMRT1 in the sex-determining region ... 2002 2026 2010 2018 2002 200 400 600

Peers

Ute Hornung
Comparison fields: 5 of 58
  • Genetics 1.5k
  • Physiology 666
  • Molecular Biology 553
  • Plant Science 390
  • Reproductive Medicine 313
Replace Yoshinobu Uno with:
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René R. Guyomard France
Astrid Böhne Germany
Kagayaki Morishima Japan
Mireille Dorizzi France
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Citations per field, relative to Ute Hornung
Ute Hornung · 1×
Citations per year, relative to Ute Hornung
Ute Hornung · 1×

Countries citing papers authored by Ute Hornung

Since Specialization
Citations

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

Fields of papers citing papers by Ute Hornung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Hornung

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Hornung. A scholar is included among the top collaborators of Ute Hornung 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 Ute Hornung. Ute Hornung 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
# Work Indexed citations
1 31
2 54
3 125
4 12
5 78
6 119
7 109
8 35
9 76
10 3
11
A duplicated copy of DMRT1 in the sex-determining region of the Y chromosome of the medaka, Oryzias latipes breakdown →
671
12 47
13 129
14 56
15 17
16 6
17
Susceptibility to the development of pigment cell tumors in a clone of the Amazon molly, Poecilia formosa, introduced through a microchromosome.
24
18 39
19 5
20 6

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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