Daniela Schilling
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
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- Heat shock proteins research 14
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- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Gabriele Multhoff (18 shared papers)Thomas E. Schmid (17 shared papers)A. Graham Pockley (2 shared papers)M. Molls (11 shared papers)Christine Bayer (10 shared papers)Karin Hoppe‐Seyler (2 shared papers)Holger Sültmann (2 shared papers)Anja Honegger (2 shared papers)
- Journals
- Cancers (5 papers)Radiotherapy and Oncology (4 papers)Strahlentherapie und Onkologie (3 papers)PLoS ONE (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Daniela Schilling
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 250
- Immunology 209
- Molecular Biology 617
- Cell Biology 126
- Oncology 164
Countries citing papers authored by Daniela Schilling
This map shows the geographic impact of Daniela Schilling'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 Schilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schilling more than expected).
Fields of papers citing papers by Daniela Schilling
This network shows the impact of papers produced by Daniela Schilling. 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 Schilling. The network helps show where Daniela Schilling may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schilling, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 207 | |
| 2 | 2009 | 94 | |
| 3 | 2015 | 91 | |
| 4 | 2014 | 54 | |
| 5 | 2015 | 50 | |
| 6 | 2014 | 44 | |
| 7 | 2015 | 44 | |
| 8 | 2018 | 44 | |
| 9 | 2020 | 37 | |
| 10 | 2017 | 31 | |
| 11 | 2014 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2006 | 27 | |
| 14 | 2012 | 27 | |
| 15 | 2015 | 24 | |
| 16 | 2016 | 20 | |
| 17 | 2018 | 18 | |
| 18 | 2007 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2012 | 16 |
About Daniela Schilling
Daniela Schilling is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat shock proteins research (14 papers), Glioma Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Exercise and Physiological Responses (3 papers), Advanced Radiotherapy Techniques (3 papers), Radiation Therapy and Dosimetry (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cancer Research (250 citations), Immunology (209 citations), Molecular Biology (617 citations), Cell Biology (126 citations) and Oncology (164 citations). Daniela Schilling has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gabriele Multhoff, Thomas E. Schmid, A. Graham Pockley, M. Molls, Christine Bayer, Karin Hoppe‐Seyler, Holger Sültmann, Anja Honegger, Felix Hoppe‐Seyler and Stephanie E. Combs. Their work appears in journals such as Cancers, Radiotherapy and Oncology, Strahlentherapie und Onkologie, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.
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.