Lenka Munoz
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
-
- Melanoma and MAPK Pathways 7
- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 4
- Protein Degradation and Inhibitors 3
- Co-authors
- Alaina J. Ammit (3 shared papers)Ariadna Recasens (6 shared papers)Thomas Grewal (4 shared papers)Ramzi H. Abbassi (10 shared papers)Michael Kassiou (12 shared papers)Terrance G. Johns (8 shared papers)Saktimayee M. Roy (2 shared papers)Wenhui Hu (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (4 papers)Cell Death Discovery (2 papers)European Journal of Medicinal Chemistry (2 papers)Biochemical Pharmacology (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Lenka Munoz
38 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 106
- Neurology 252
- Biological Psychiatry 64
- Cancer Research 259
- Genetics 163
- Molecular Biology 1.0k
Countries citing papers authored by Lenka Munoz
This map shows the geographic impact of Lenka Munoz'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 Lenka Munoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenka Munoz more than expected).
Fields of papers citing papers by Lenka Munoz
This network shows the impact of papers produced by Lenka Munoz. 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 Lenka Munoz. The network helps show where Lenka Munoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Lenka Munoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 306 | |
| 2 | 2019 | 241 | |
| 3 | 2007 | 197 | |
| 4 | 2012 | 179 | |
| 5 | 2015 | 124 | |
| 6 | 2017 | 100 | |
| 7 | 2012 | 80 | |
| 8 | 2020 | 72 | |
| 9 | 2013 | 69 | |
| 10 | 2014 | 65 | |
| 11 | 2006 | 56 | |
| 12 | 2017 | 45 | |
| 13 | 2021 | 35 | |
| 14 | 2017 | 31 | |
| 15 | 2018 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2010 | 28 | |
| 18 | 2017 | 28 | |
| 19 | 2017 | 20 | |
| 20 | 2016 | 19 |
About Lenka Munoz
Lenka Munoz is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Organic Chemistry, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Microtubule and mitosis dynamics (6 papers), Ubiquitin and proteasome pathways (5 papers), Glioma Diagnosis and Treatment (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Alzheimer's disease research and treatments (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Neurology (252 citations), Biological Psychiatry (64 citations), Cancer Research (259 citations), Genetics (163 citations) and Molecular Biology (1.0k citations). Lenka Munoz has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Alaina J. Ammit, Ariadna Recasens, Thomas Grewal, Ramzi H. Abbassi, Michael Kassiou, Terrance G. Johns, Saktimayee M. Roy, Wenhui Hu, D. Martin Watterson and Linda J. Van Eldik. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Cell Death Discovery, European Journal of Medicinal Chemistry, Biochemical Pharmacology and Scientific Reports.
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.