Daniela Piani Meier
Impact in
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- Multiple Sclerosis Research Studies
- Developmental Neuroscience top 10%
Papers in
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- Multiple Sclerosis Research Studies 22
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- Sphingolipid Metabolism and Signaling 8
- Co-authors
- Davorka Tomic (14 shared papers)Ludwig Kappos (16 shared papers)Till Sprenger (8 shared papers)Nicola De Stefano (6 shared papers)Dieter A. Häring (4 shared papers)Ernst-Wilhelm Radüe (3 shared papers)Maria Pia Sormani (6 shared papers)Bruce Cree (11 shared papers)
- Journals
- Neurology (16 papers)Multiple Sclerosis and Related Disorders (8 papers)Multiple Sclerosis Journal (4 papers)Journal of Neurology (2 papers)Neoplasia (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniela Piani Meier
38 papers receiving 628 citations
Peers
Comparison fields: 5 of 75
- Pathology and Forensic Medicine 379
- Developmental Neuroscience 62
- Anesthesiology and Pain Medicine 81
- Neurology 138
- Small Animals 53
Countries citing papers authored by Daniela Piani Meier
This map shows the geographic impact of Daniela Piani Meier'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 Piani Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Piani Meier more than expected).
Fields of papers citing papers by Daniela Piani Meier
This network shows the impact of papers produced by Daniela Piani Meier. 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 Piani Meier. The network helps show where Daniela Piani Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Piani Meier, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 222 | |
| 2 | 1991 | 108 | |
| 3 | 2018 | 52 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 35 | |
| 6 | 2016 | 21 | |
| 7 | 2014 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2008 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 4 |
About Daniela Piani Meier
Daniela Piani Meier is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Hematology, Neurology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 646 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (22 papers), Sphingolipid Metabolism and Signaling (8 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Veterinary Oncology Research (4 papers), Infectious Diseases and Mycology (4 papers), Polyomavirus and related diseases (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (379 citations), Developmental Neuroscience (62 citations), Anesthesiology and Pain Medicine (81 citations), Neurology (138 citations) and Small Animals (53 citations). Daniela Piani Meier has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Davorka Tomic, Ludwig Kappos, Till Sprenger, Nicola De Stefano, Dieter A. Häring, Ernst-Wilhelm Radüe, Maria Pia Sormani, Bruce Cree, Mark S. Freedman and Terry J. Smith. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of Neurology and Neoplasia.
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.