Dirk Sieger
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Neurology 13
- Neuroinflammation and Neurodegeneration Mechanisms 13
- Cell Biology 13
- Zebrafish Biomedical Research Applications 13
- Co-authors
- Francesca Peri (2 shared papers)Martin Gajewski (6 shared papers)Lloyd Hamilton (5 shared papers)Diethard Tautz (4 shared papers)Thomas Ziegenhals (1 shared paper)Sergey V. Prykhozhij (1 shared paper)Cornelia Stein (2 shared papers)Maria Leptin (2 shared papers)
- Journals
- Glia (4 papers)The Journal of Immunology (2 papers)Disease Models & Mechanisms (2 papers)Angewandte Chemie International Edition (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Dirk Sieger
30 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Neurology 310
- Developmental Neuroscience 124
- Cell Biology 426
- Immunology 486
- Molecular Biology 745
Countries citing papers authored by Dirk Sieger
This map shows the geographic impact of Dirk Sieger'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 Dirk Sieger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Sieger more than expected).
Fields of papers citing papers by Dirk Sieger
This network shows the impact of papers produced by Dirk Sieger. 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 Dirk Sieger. The network helps show where Dirk Sieger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Sieger, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2012 | 187 | |
| 3 | 2009 | 112 | |
| 4 | 2017 | 107 | |
| 5 | 2010 | 101 | |
| 6 | 2016 | 89 | |
| 7 | 2022 | 88 | |
| 8 | 2003 | 84 | |
| 9 | 2013 | 61 | |
| 10 | 2018 | 61 | |
| 11 | 2018 | 60 | |
| 12 | 2016 | 54 | |
| 13 | 2021 | 52 | |
| 14 | 2012 | 49 | |
| 15 | 2016 | 49 | |
| 16 | 2019 | 48 | |
| 17 | 2003 | 47 | |
| 18 | 2007 | 44 | |
| 19 | 2004 | 36 | |
| 20 | 2021 | 32 |
About Dirk Sieger
Dirk Sieger is a scholar working on Neurology, Cell Biology, Immunology, Genetics and Molecular Biology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Zebrafish Biomedical Research Applications (13 papers), Immune cells in cancer (8 papers), Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (6 papers), Click Chemistry and Applications (4 papers), interferon and immune responses (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Neurology (310 citations), Developmental Neuroscience (124 citations), Cell Biology (426 citations), Immunology (486 citations) and Molecular Biology (745 citations). Dirk Sieger has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Francesca Peri, Martin Gajewski, Lloyd Hamilton, Diethard Tautz, Thomas Ziegenhals, Sergey V. Prykhozhij, Cornelia Stein, Maria Leptin, Julie Mazzolini and Catherine Adam. Their work appears in journals such as Glia, The Journal of Immunology, Disease Models & Mechanisms, Angewandte Chemie International Edition and Journal of Visualized Experiments.
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.