Simone Weidlich
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA Research and Splicing
- Cancer Research top 10%
Papers in
-
- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Glutathione Transferases and Polymorphisms 3
- TGF-β signaling in diseases 2
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- S.A. Abdul Rehman (4 shared papers)Yogesh Kulathu (4 shared papers)Yosua Adi Kristariyanto (2 shared papers)Kay Hofmann (1 shared paper)Gopal P. Sapkota (4 shared papers)Karim Labib (1 shared paper)Soo‐Youn Choi (1 shared paper)Pedro Junior Nkosi (1 shared paper)
- Journals
- Molecular Cell (3 papers)British Journal of Cancer (2 papers)Science Signaling (2 papers)Nature Communications (1 paper)Life Science Alliance (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Simone Weidlich
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 1.1k
- Cancer Research 192
- Oncology 341
- Cell Biology 153
- Epidemiology 197
Countries citing papers authored by Simone Weidlich
This map shows the geographic impact of Simone Weidlich'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 Simone Weidlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Weidlich more than expected).
Fields of papers citing papers by Simone Weidlich
This network shows the impact of papers produced by Simone Weidlich. 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 Simone Weidlich. The network helps show where Simone Weidlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Weidlich, 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 | 2016 | 296 | |
| 2 | 2018 | 147 | |
| 3 | 2013 | 110 | |
| 4 | 2018 | 93 | |
| 5 | 2004 | 70 | |
| 6 | 1968 | 62 | |
| 7 | 2017 | 57 | |
| 8 | 2016 | 57 | |
| 9 | 2015 | 56 | |
| 10 | 2015 | 55 | |
| 11 | 2016 | 50 | |
| 12 | 2014 | 43 | |
| 13 | 2020 | 43 | |
| 14 | 2018 | 38 | |
| 15 | 2021 | 32 | |
| 16 | 2018 | 26 | |
| 17 | 2011 | 24 | |
| 18 | 2011 | 21 | |
| 19 | 2010 | 12 |
About Simone Weidlich
Simone Weidlich is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Genetics, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Autophagy in Disease and Therapy (4 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (192 citations), Oncology (341 citations), Cell Biology (153 citations) and Epidemiology (197 citations). Simone Weidlich has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include S.A. Abdul Rehman, Yogesh Kulathu, Yosua Adi Kristariyanto, Kay Hofmann, Gopal P. Sapkota, Karim Labib, Soo‐Youn Choi, Pedro Junior Nkosi, Lina Herhaus and Thomas Macartney. Their work appears in journals such as Molecular Cell, British Journal of Cancer, Science Signaling, Nature Communications and Life Science Alliance.
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.