Daniela Hoeller
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 5
- Histone Deacetylase Inhibitors Research 3
- Protein Degradation and Inhibitors 2
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Ivan Đikić (11 shared papers)Sebastian Wagner (3 shared papers)Rainer Breitling (2 shared papers)Feng Yao (7 shared papers)Siniša Volarević (1 shared paper)Matthias Mann (1 shared paper)Ritva Tikkanen (1 shared paper)Camilla Raiborg (1 shared paper)
- Journals
- Wound Repair and Regeneration (3 papers)Nature Structural & Molecular Biology (2 papers)FEBS Letters (2 papers)Molecular Therapy (1 paper)Journal of Tissue Viability (1 paper)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Daniela Hoeller
24 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 376
- Rehabilitation 150
- Molecular Biology 1.4k
- Oncology 458
- Cancer Research 169
Countries citing papers authored by Daniela Hoeller
This map shows the geographic impact of Daniela Hoeller'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 Daniela Hoeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hoeller more than expected).
Fields of papers citing papers by Daniela Hoeller
This network shows the impact of papers produced by Daniela Hoeller. 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 Daniela Hoeller. The network helps show where Daniela Hoeller may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Hoeller, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 488 | |
| 2 | 2006 | 329 | |
| 3 | 2006 | 261 | |
| 4 | 2007 | 121 | |
| 5 | 2004 | 100 | |
| 6 | 2008 | 94 | |
| 7 | 2005 | 76 | |
| 8 | 2005 | 53 | |
| 9 | 2001 | 36 | |
| 10 | 2005 | 35 | |
| 11 | 2007 | 30 | |
| 12 | 2006 | 30 | |
| 13 | 2007 | 29 | |
| 14 | 2005 | 23 | |
| 15 | 2006 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2004 | 19 | |
| 18 | 2004 | 16 | |
| 19 | 2002 | 13 | |
| 20 | 2010 | 12 |
About Daniela Hoeller
Daniela Hoeller is a scholar working on Molecular Biology, Epidemiology, Rehabilitation, Oncology and Cell Biology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Glycosylation and Glycoproteins Research (5 papers), Wound Healing and Treatments (5 papers), Virus-based gene therapy research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cellular transport and secretion (3 papers), Autophagy in Disease and Therapy (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cell Biology (376 citations), Rehabilitation (150 citations), Molecular Biology (1.4k citations), Oncology (458 citations) and Cancer Research (169 citations). Daniela Hoeller has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Ivan Đikić, Sebastian Wagner, Rainer Breitling, Feng Yao, Siniša Volarević, Matthias Mann, Ritva Tikkanen, Camilla Raiborg, Nicola Crosetto and Elof Eriksson. Their work appears in journals such as Wound Repair and Regeneration, Nature Structural & Molecular Biology, FEBS Letters, Molecular Therapy and Journal of Tissue Viability.
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.