Nadja Siebert
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 10%
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Multiple Sclerosis Research Studies 15
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- Peripheral Neuropathies and Disorders 6
- Co-authors
- Friedemann Paul (20 shared papers)Judith Bellmann–Strobl (15 shared papers)Klemens Ruprecht (14 shared papers)Susanna Asseyer (11 shared papers)Alexander U. Brandt (11 shared papers)Joseph Kuchling (8 shared papers)Sven Jarius (5 shared papers)Michael Scheel (8 shared papers)
- Journals
- Neurology Neuroimmunology & Neuroinflammation (2 papers)Frontiers in Neurology (2 papers)Multiple Sclerosis and Related Disorders (2 papers)Drugs of today (1 paper)NeuroImage Clinical (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Nadja Siebert
19 papers receiving 381 citations
Peers
Comparison fields: 5 of 44
- Pathology and Forensic Medicine 251
- Neurology 145
- Rheumatology 58
- Neurology 24
- Developmental Neuroscience 10
Countries citing papers authored by Nadja Siebert
This map shows the geographic impact of Nadja Siebert'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 Nadja Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Siebert more than expected).
Fields of papers citing papers by Nadja Siebert
This network shows the impact of papers produced by Nadja Siebert. 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 Nadja Siebert. The network helps show where Nadja Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadja Siebert, 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 | 2021 | 63 | |
| 2 | 2023 | 56 | |
| 3 | 2020 | 51 | |
| 4 | 2020 | 36 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2019 | 0 |
About Nadja Siebert
Nadja Siebert is a scholar working on Pathology and Forensic Medicine, Neurology, Immunology, Rheumatology and Oncology, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (15 papers), Peripheral Neuropathies and Disorders (6 papers), Immune Cell Function and Interaction (2 papers), Systemic Lupus Erythematosus Research (2 papers), Alzheimer's disease research and treatments (1 paper), NF-κB Signaling Pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (251 citations), Neurology (145 citations), Rheumatology (58 citations), Neurology (24 citations) and Developmental Neuroscience (10 citations). Nadja Siebert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Friedemann Paul, Judith Bellmann–Strobl, Klemens Ruprecht, Susanna Asseyer, Alexander U. Brandt, Joseph Kuchling, Sven Jarius, Michael Scheel, Frederike Cosima Oertel and Ankelien Duchow. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, Frontiers in Neurology, Multiple Sclerosis and Related Disorders, Drugs of today and NeuroImage Clinical.
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.