Daniela Göppner
Impact in
-
- Microbial Inactivation Methods
- Dermatology top 10%
- Cancer and Skin Lesions
Papers in
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- Melanoma and MAPK Pathways 7
- Oncology 9
- Cutaneous Melanoma Detection and Management 8
- Co-authors
- Martin Leverkus (3 shared papers)Harald Gollnick (6 shared papers)Carmen Loquai (2 shared papers)Rudolf Herbst (2 shared papers)Erwin Schultz (2 shared papers)Markus V. Heppt (1 shared paper)Katharina C. Kähler (3 shared papers)Fanny Matheis (1 shared paper)
- Journals
- Journal of Skin Cancer (2 papers)Clinical and Experimental Dermatology (1 paper)JDDG Journal der Deutschen Dermatologischen Gesellschaft (1 paper)Frontiers in Immunology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Daniela Göppner
15 papers receiving 243 citations
Peers
Comparison fields: 5 of 45
- Biotechnology 47
- Dermatology 47
- Oncology 103
- Biophysics 13
- Pathology and Forensic Medicine 33
Countries citing papers authored by Daniela Göppner
This map shows the geographic impact of Daniela Göppner'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 Göppner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Göppner more than expected).
Fields of papers citing papers by Daniela Göppner
This network shows the impact of papers produced by Daniela Göppner. 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 Göppner. The network helps show where Daniela Göppner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Göppner, 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 | 2016 | 60 | |
| 2 | 2010 | 47 | |
| 3 | 2021 | 28 | |
| 4 | 2014 | 20 | |
| 5 | 2021 | 17 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2010 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2015 | 10 | |
| 11 | 2011 | 7 | |
| 12 | 2011 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2024 | 0 |
About Daniela Göppner
Daniela Göppner is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Dermatology, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Melanoma and MAPK Pathways (7 papers), Optical Coherence Tomography Applications (3 papers), Brain Metastases and Treatment (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Autoimmune Bullous Skin Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biotechnology (47 citations), Dermatology (47 citations), Oncology (103 citations), Biophysics (13 citations) and Pathology and Forensic Medicine (33 citations). Daniela Göppner has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Martin Leverkus, Harald Gollnick, Carmen Loquai, Rudolf Herbst, Erwin Schultz, Markus V. Heppt, Katharina C. Kähler, Fanny Matheis, Bastian Schilling and Carola Berking. Their work appears in journals such as Journal of Skin Cancer, Clinical and Experimental Dermatology, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Frontiers in Immunology and European Journal of Cancer.
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.