Ramona Schulz
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
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- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 2
- Cell death mechanisms and regulation 2
- DNA Repair Mechanisms 1
- Heat shock proteins research 1
- Protein Degradation and Inhibitors 1
- Fungal and yeast genetics research 1
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- Macrophage Migration Inhibitory Factor 4
- Co-authors
- Ute M. Moll (7 shared papers)Natalia Marchenko (3 shared papers)Flaminia Talos (3 shared papers)Victoria Fischer (1 shared paper)Talía Velasco-Hernández (1 shared paper)Dun Li (1 shared paper)Matthias Dobbelstein (5 shared papers)Marina Pešić (2 shared papers)
- Journals
- Cell Cycle (2 papers)The Journal of Experimental Medicine (2 papers)Journal of Neural Transmission (1 paper)Molecular Cell (1 paper)Cell and Tissue Research (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ramona Schulz
13 papers receiving 536 citations
Peers
Comparison fields: 5 of 72
- Oncology 200
- Cancer Research 90
- Biotechnology 51
- Molecular Biology 360
- Cell Biology 72
Countries citing papers authored by Ramona Schulz
This map shows the geographic impact of Ramona Schulz'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 Ramona Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramona Schulz more than expected).
Fields of papers citing papers by Ramona Schulz
This network shows the impact of papers produced by Ramona Schulz. 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 Ramona Schulz. The network helps show where Ramona Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramona Schulz, 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 | 2011 | 243 | |
| 2 | 2012 | 93 | |
| 3 | 2015 | 63 | |
| 4 | 2011 | 41 | |
| 5 | 2011 | 22 | |
| 6 | 2008 | 18 | |
| 7 | 2013 | 17 | |
| 8 | 2009 | 13 | |
| 9 | 2006 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 1994 | 9 | |
| 12 | 2010 | 3 | |
| 13 | 2012 | 1 |
About Ramona Schulz
Ramona Schulz is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 13 papers that have together received 543 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (4 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (1 paper), Heat shock proteins research (1 paper), Protein Degradation and Inhibitors (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Oncology (200 citations), Cancer Research (90 citations), Biotechnology (51 citations), Molecular Biology (360 citations) and Cell Biology (72 citations). Ramona Schulz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ute M. Moll, Natalia Marchenko, Flaminia Talos, Victoria Fischer, Talía Velasco-Hernández, Dun Li, Matthias Dobbelstein, Marina Pešić, Günter Fingerle‐Rowson and Lars Zender. Their work appears in journals such as Cell Cycle, The Journal of Experimental Medicine, Journal of Neural Transmission, Molecular Cell and Cell and Tissue Research.
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.