Tina Lenče

1.9k citations
11 papers · 1.4k indexed · 2 hit papers · h-index 10

Tina Lenče

10 papers receiving 1.4k citations

Hit Papers

Zc3h13/Flacc is required for adenosine methylation by bri...4632016202620192022100200300400

Peers

Tina Lenče
Comparison fields: 5 of 64
  • Cancer Research 598
  • Molecular Biology 1.3k
  • Energy Engineering and Power Technology 23
  • Electrical and Electronic Engineering 259
  • Aging 5
Replace Jens Kretschmer with:
Jens Kretschmer Germany
Nastasja Kreim Germany
Masaki Hosogane Japan
Ben R Hawley United States
Shota Nakanoh United Kingdom
Jin Peng China
Shashank Sathe United States
Szilvia Juhász Hungary
Adele Xu United States
Linda Szabo United States
Tina Lenče relative to Jens Kretschmer Germany Jens Kretschmer's profile →
Citations per field
00.5×1.5×2.0×
Jens Kretschmer · 1×
Citations per year

Countries citing papers authored by Tina Lenče

Since Specialization
Citations

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

Fields of papers citing papers by Tina Lenče

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20240
2 202315
3 2021113
4 202036
5 202034
6 201897
7 201875
8
Zc3h13/Flacc is required for adenosine methylation by bridging the mRNA-binding factor Rbm15/Spenito to the m6A machinery component Wtap/Fl(2)dbreakdown →
2018463
9 201756
10 201767
11
m6A modulates neuronal functions and sex determination in Drosophilabreakdown →
2016425

About Tina Lenče

Tina Lenče is a scholar working on Cancer Research, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related gene regulation (7 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and HVDC Systems and Fault Protection (2 papers). The work is most often cited by research in Cancer Research (598 citations), Molecular Biology (1.3k citations) and Energy Engineering and Power Technology (23 citations). Tina Lenče has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Jean‐Yves Roignant, Mark Helm, Nastasja Kreim, Miguel A. Andrade‐Navarro, Matthias Soller, Junaid Akhtar, Marc Bayer, Katharina Schmid, Cheuk Hei Ho and Burkhard Poeck. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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