Daniela Pierscianek
- Neurology top 2%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ulrich SureRamazan JabbarliMarvin Darkwah OppongKarsten H. WredePhilipp DammannMichael ForstingYahya AhmadipourKlaus Kaier
- Topics
- Glioma Diagnosis and Treatment (40 papers)Intracranial Aneurysms: Treatment and Complications (22 papers)Meningioma and schwannoma management (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyCancer Research
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Daniela Pierscianek
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Neurology 662
- Genetics 370
- Pulmonary and Respiratory Medicine 355
- Molecular Biology 219
- Cellular and Molecular Neuroscience 152
Countries citing papers authored by Daniela Pierscianek
This map shows the geographic impact of Daniela Pierscianek'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 Pierscianek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pierscianek more than expected).
Fields of papers citing papers by Daniela Pierscianek
This network shows the impact of papers produced by Daniela Pierscianek. 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 Pierscianek. The network helps show where Daniela Pierscianek may publish in the future.
Co-authorship network of co-authors of Daniela Pierscianek
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Pierscianek. A scholar is included among the top collaborators of Daniela Pierscianek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Pierscianek. Daniela Pierscianek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 32 | |
| 16 | 21 | |
| 17 | 6 | |
| 18 | 17 | |
| 19 | 41 | |
| 20 | 16 |
About Daniela Pierscianek
Daniela Pierscianek is a scholar working on Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (40 papers), Intracranial Aneurysms: Treatment and Complications (22 papers) and Meningioma and schwannoma management (13 papers). The work is most often cited by research in Neurology (662 citations), Genetics (370 citations) and Pulmonary and Respiratory Medicine (355 citations). Daniela Pierscianek has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Ulrich Sure, Ramazan Jabbarli, Marvin Darkwah Oppong, Karsten H. Wrede, Philipp Dammann, Michael Forsting, Yahya Ahmadipour, Klaus Kaier, Oliver Müller and Oliver Gembruch. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Cancer 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.