Thomas Tuschl
- Cancer Research top 0.01%
- MicroRNA in disease regulation 91
- Cancer-related molecular mechanisms research 41
- Molecular Biology top 0.01%
- RNA Research and Splicing 78
- RNA modifications and cancer 65
- RNA Interference and Gene Delivery 51
- RNA and protein synthesis mechanisms 50
- Advanced biosensing and bioanalysis techniques 31
- CRISPR and Genetic Engineering 17
- Aging top 0.2%
- Immunology top 0.1%
- Plant Science top 0.1%
- Co-authors
- Sayda M. ElbashirAbdullah YalçınMariana Lagos‐QuintanaReinhard RauhutGunter MeisterKlaus WeberJens HarborthChris Sander
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Thomas Tuschl
220 papers receiving 73.7k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Cancer Research 34.7k
- Molecular Biology 61.7k
- Aging 723
- Immunology 7.4k
- Plant Science 7.2k
Countries citing papers authored by Thomas Tuschl
This map shows the geographic impact of Thomas Tuschl'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 Tuschl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Tuschl more than expected).
Fields of papers citing papers by Thomas Tuschl
This network shows the impact of papers produced by Thomas Tuschl. 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 Tuschl. The network helps show where Thomas Tuschl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Tuschl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 29 | |
| 2 | 2021 | 9 | |
| 3 | 2021 | 25 | |
| 4 | Single-cell transcriptome analysis of human skin identifies novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitisbreakdown → | 2020 | 310 |
| 5 | 2019 | 17 | |
| 6 | 2019 | 151 | |
| 7 | 2018 | 21 | |
| 8 | 2017 | 46 | |
| 9 | 2016 | 31 | |
| 10 | FMRP targets distinct mRNA sequence elements to regulate protein expressionbreakdown → | 2012 | 521 |
| 11 | 2011 | 98 | |
| 12 | 2011 | 275 | |
| 13 | 2011 | 282 | |
| 14 | 2010 | 65 | |
| 15 | Endogenous MHC Class II Processing of a Viral Nuclear Antigen After Autophagybreakdown → | 2004 | 674 |
| 16 | 2003 | 372 | |
| 17 | A Cellular Function for the RNA-Interference Enzyme Dicer in the Maturation of the let-7 Small Temporal RNAbreakdown → | 2001 | 2115 |
| 18 | Identification of Novel Genes Coding for Small Expressed RNAsbreakdown → | 2001 | 3872 |
| 19 | RNA干渉は21-及び22-ヌクレオチドRNAにより仲介される | 2001 | 1 |
| 20 | 1999 | 445 |
About Thomas Tuschl
Thomas Tuschl is a scholar working on Cancer Research, Molecular Biology and Aging, having authored 222 papers that have together received 75.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (91 papers), RNA Research and Splicing (78 papers), RNA modifications and cancer (65 papers), RNA Interference and Gene Delivery (51 papers), RNA and protein synthesis mechanisms (50 papers), Cancer-related molecular mechanisms research (41 papers), Advanced biosensing and bioanalysis techniques (31 papers) and CRISPR and Genetic Engineering (17 papers). The work is most often cited by research in Cancer Research (34.7k citations), Molecular Biology (61.7k citations) and Aging (723 citations). Thomas Tuschl has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sayda M. Elbashir, Abdullah Yalçın, Mariana Lagos‐Quintana, Reinhard Rauhut, Gunter Meister, Klaus Weber, Jens Harborth, Chris Sander, Markus Hafner and Debora S. Marks. Their work appears in journals such as RNA, Nature, Genes & Development, Proceedings of the National Academy of Sciences 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.