Ute Ungethüm

45 total papers · 1.2k total citations
25 papers, 874 citations indexed

About

Ute Ungethüm is a scholar working on Molecular Biology, Cancer Research and Endocrine and Autonomic Systems. According to data from OpenAlex, Ute Ungethüm has authored 25 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Ute Ungethüm's work include Neuroscience of respiration and sleep (4 papers), Heat shock proteins research (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Ute Ungethüm is often cited by papers focused on Neuroscience of respiration and sleep (4 papers), Heat shock proteins research (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Ute Ungethüm collaborates with scholars based in Germany, United States and Sweden. Ute Ungethüm's co-authors include Ralf‐Jürgen Kuban, Veit Krenn, Reinhold Schäfer, Éva Simon, Wilko Weichert, Christine Sers, Christoph Röcken, Ulf Neumann, Gerd-R. Burmester and Oleg Tchernitsa and has published in prestigious journals such as Blood, PLoS ONE and Oncogene.

In The Last Decade

Ute Ungethüm

25 papers receiving 863 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ute Ungethüm 504 227 147 143 141 25 874
Riccardo Chiusaroli 519 1.0× 152 0.7× 122 0.8× 115 0.8× 244 1.7× 22 896
R.S. Sparkes 484 1.0× 113 0.5× 131 0.9× 67 0.5× 135 1.0× 32 978
Baby G. Tholanikunnel 585 1.2× 83 0.4× 96 0.7× 174 1.2× 94 0.7× 33 1.0k
Martine Charbonneau 395 0.8× 264 1.2× 70 0.5× 93 0.7× 178 1.3× 19 821
T Tsukada 464 0.9× 188 0.8× 69 0.5× 186 1.3× 326 2.3× 21 888
Karl X. Knaup 525 1.0× 442 1.9× 87 0.6× 145 1.0× 123 0.9× 29 1.1k
Jing Zhang 294 0.6× 128 0.6× 107 0.7× 78 0.5× 116 0.8× 35 809
Patricia Precht 574 1.1× 110 0.5× 177 1.2× 278 1.9× 148 1.0× 29 987
Joanna Boncela 361 0.7× 208 0.9× 55 0.4× 105 0.7× 165 1.2× 43 748
Kyoichi Akiyama 409 0.8× 162 0.7× 276 1.9× 220 1.5× 125 0.9× 21 912

Countries citing papers authored by Ute Ungethüm

Since Specialization
Citations

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

Fields of papers citing papers by Ute Ungethüm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Ungethüm

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Ungethüm. A scholar is included among the top collaborators of Ute Ungethüm 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 Ungethüm. Ute Ungethüm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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