Ute Kothe

1.8k citations
32 papers · 1.3k · h-index 19

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Cancer-related gene regulation
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 29
    • RNA modifications and cancer 28
    • RNA Research and Splicing 11
    • Genomics and Phylogenetic Studies 7
    • Cancer-related gene regulation 3
    • Biochemical and Molecular Research 2
    • Peptidase Inhibition and Analysis 4

Ute Kothe

32 papers receiving 1.3k citations

Peers

Ute Kothe
Comparison fields: 5 of 72
  • Molecular Biology 1.2k
  • Genetics 219
  • Cancer Research 96
  • Structural Biology 8
  • Oncology 106
Replace Sandro F. Ataide with:
Sandro F. Ataide Australia
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Ute Kothe relative to Sandro F. Ataide Australia Sandro F. Ataide's profile →
Citations per field
00.5×2.7×
Sandro F. Ataide · 1×
Citations per year

Countries citing papers authored by Ute Kothe

Since Specialization
Citations

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

Fields of papers citing papers by Ute Kothe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005322
2 2017149
3 2004117
4 200588
5 201664
6 200462
7 200757
8 200653
9 202131
10 201731
11 202028
12 201128
13 201227
14 201322
15 202121
16 200621
17 201919
18 201318
19 202418
20 202018

About Ute Kothe

Ute Kothe is a scholar working on Molecular Biology, Oncology, Genetics, Pediatrics, Perinatology and Child Health and Education, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (29 papers), RNA modifications and cancer (28 papers), RNA Research and Splicing (11 papers), Genomics and Phylogenetic Studies (7 papers), Peptidase Inhibition and Analysis (4 papers), Cancer-related gene regulation (3 papers), Biochemical and Molecular Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (219 citations), Cancer Research (96 citations), Structural Biology (8 citations) and Oncology (106 citations). Ute Kothe has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Marina V. Rodnina, Anne C. Rintala‐Dempsey, Hans‐Joachim Wieden, Mihaela Diaconu, Alexander Tonevitsky, Holger Stark, J. Harms, N. Fischer, M.C. Wahl and Frank Schlünzen. Their work appears in journals such as RNA, Nucleic Acids Research, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and Analytical Biochemistry.

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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