Thomas Schwarzl

5.6k total citations · 2 hit papers
31 papers, 3.3k citations indexed

About

Thomas Schwarzl is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Thomas Schwarzl has authored 31 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Neurology. Recurrent topics in Thomas Schwarzl's work include RNA Research and Splicing (19 papers), RNA modifications and cancer (18 papers) and RNA and protein synthesis mechanisms (17 papers). Thomas Schwarzl is often cited by papers focused on RNA Research and Splicing (19 papers), RNA modifications and cancer (18 papers) and RNA and protein synthesis mechanisms (17 papers). Thomas Schwarzl collaborates with scholars based in Germany, Ireland and United States. Thomas Schwarzl's co-authors include Matthias W. Hentze, Alfredo Castelló, Thomas Preiß, Juan Valcárcel, Fátima Gebauer, Rastislav Horos, Jeroen Krijgsveld, Anne-Marie Alleaume, Tomaž Curk and Wolfgang Huber and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Thomas Schwarzl

30 papers receiving 3.3k citations

Hit Papers

A brave new world of RNA-binding proteins 2018 2026 2020 2023 2018 2020 250 500 750 1000

Peers

Thomas Schwarzl
Comparison fields: 5 of 106
  • Molecular Biology 3.0k
  • Cancer Research 759
  • Immunology 187
  • Neurology 131
  • Oncology 125
Replace Rastislav Horos with:
Rastislav Horos Germany
Victoria H. Cowling United Kingdom
Elizabeth O’Day United States
Toma Tebaldi Italy
Belinda J. Westman Australia
Karim Mekhail Canada
Fabrizio Loreni Italy
Jinshui Fan United States
Joshua J. Gruber United States
Berlinda Verdoodt Germany
Rastislav Horos Germany View profile →
Citations per field, relative to Thomas Schwarzl
Thomas Schwarzl · 1×
Citations per year, relative to Thomas Schwarzl
Thomas Schwarzl · 1×

Countries citing papers authored by Thomas Schwarzl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schwarzl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schwarzl

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Schwarzl. A scholar is included among the top collaborators of Thomas Schwarzl 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 Thomas Schwarzl. Thomas Schwarzl 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 0
2 8
3 22
4 73
5 3
6 4
7 41
8
RNA-binding proteins in human genetic disease breakdown →
517
9 47
10 122
11
A brave new world of RNA-binding proteins breakdown →
1168
12 280
13 29
14 55
15 341
16 78
17 26
18 71
19 51
20 78

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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