Manuela Gridling
Impact in
- Oncology top 10%
- Metal complexes synthesis and properties
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Melanoma and MAPK Pathways 2
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Giulio Superti‐Furga (13 shared papers)Jacques Colinge (9 shared papers)Kilian Huber (5 shared papers)Keiryn L. Bennett (9 shared papers)Alexey Stukalov (5 shared papers)Branka Radic-Sarikas (3 shared papers)Georg E. Winter (4 shared papers)Stefan Kubicek (2 shared papers)
- Journals
- Nature Chemical Biology (2 papers)ACS Chemical Biology (1 paper)Journal of Proteome Research (1 paper)Cell Death and Disease (1 paper)Carcinogenesis (1 paper)
- Partner nations
- AustriaUnited StatesFrance
In The Last Decade
Manuela Gridling
19 papers receiving 1.5k citations
Manuela Gridling's Hit Papers
Peers
Comparison fields: 5 of 94
- Oncology 318
- Molecular Biology 841
- Geriatrics and Gerontology 26
- Cancer Research 109
- Pharmacology 65
Countries citing papers authored by Manuela Gridling
This map shows the geographic impact of Manuela Gridling'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 Manuela Gridling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Gridling more than expected).
Fields of papers citing papers by Manuela Gridling
This network shows the impact of papers produced by Manuela Gridling. 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 Manuela Gridling. The network helps show where Manuela Gridling may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuela Gridling, 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 | 2014 | 342 | |
| 2 | Artemisinins Target GABAA Receptor Signaling and Impair α Cell Identity Hit paper breakdown → | 2016 | 339 |
| 3 | 2015 | 167 | |
| 4 | 2014 | 142 | |
| 5 | 2015 | 134 | |
| 6 | 2012 | 87 | |
| 7 | Artemisinins Target GABAA Receptor Signaling and Impair .ALPHA. Cell Identity | 2017 | 60 |
| 8 | 2015 | 52 | |
| 9 | 2010 | 45 | |
| 10 | 2009 | 40 | |
| 11 | 2013 | 29 | |
| 12 | 2009 | 27 | |
| 13 | 2009 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2015 | 2 |
About Manuela Gridling
Manuela Gridling is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Hematology and Oncology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Melanoma and MAPK Pathways (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Oncology (318 citations), Molecular Biology (841 citations), Geriatrics and Gerontology (26 citations), Cancer Research (109 citations) and Pharmacology (65 citations). Manuela Gridling has collaborated with scholars based in Austria, United States and France. Frequent co-authors include Giulio Superti‐Furga, Jacques Colinge, Kilian Huber, Keiryn L. Bennett, Alexey Stukalov, Branka Radic-Sarikas, Georg E. Winter, Stefan Kubicek, Uwe Rix and Camilla Göktürk. Their work appears in journals such as Nature Chemical Biology, ACS Chemical Biology, Journal of Proteome Research, Cell Death and Disease and Carcinogenesis.
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.