Heike Siebert
Impact in
- Neurology top 2%
- Neurological diseases and metabolism
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Gene Regulatory Network Analysis 33
- Microbial Metabolic Engineering and Bioproduction 13
- Receptor Mechanisms and Signaling 9
- Bioinformatics and Genomic Networks 7
-
- Nerve injury and regeneration 9
- Co-authors
- Wolfgang Brück (9 shared papers)Alexander Bockmayr (11 shared papers)Nils Brose (1 shared paper)William A. Kuziel (1 shared paper)Otto Windl (1 shared paper)Nobuyo Maeda (1 shared paper)Tobias Tings (1 shared paper)Armin Giese (1 shared paper)
In The Last Decade
Heike Siebert
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Neurology 355
- Developmental Neuroscience 147
- Cellular and Molecular Neuroscience 298
- Nutrition and Dietetics 181
- Molecular Biology 737
Countries citing papers authored by Heike Siebert
This map shows the geographic impact of Heike 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 Heike Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Siebert more than expected).
Fields of papers citing papers by Heike Siebert
This network shows the impact of papers produced by Heike 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 Heike Siebert. The network helps show where Heike Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Heike 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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 287 | |
| 2 | 2000 | 144 | |
| 3 | 1974 | 109 | |
| 4 | 1999 | 97 | |
| 5 | 2017 | 86 | |
| 6 | 2000 | 84 | |
| 7 | 2001 | 68 | |
| 8 | 2016 | 62 | |
| 9 | 2001 | 60 | |
| 10 | 2004 | 49 | |
| 11 | 2002 | 44 | |
| 12 | 2003 | 38 | |
| 13 | 2007 | 34 | |
| 14 | 1972 | 33 | |
| 15 | 2007 | 33 | |
| 16 | 2006 | 28 | |
| 17 | 2010 | 25 | |
| 18 | 2015 | 21 | |
| 19 | 2012 | 18 | |
| 20 | 2014 | 16 |
About Heike Siebert
Heike Siebert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Neurology and Genetics, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Receptor Mechanisms and Signaling (9 papers), Nerve injury and regeneration (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Bioinformatics and Genomic Networks (7 papers), Formal Methods in Verification (6 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Neurology (355 citations), Developmental Neuroscience (147 citations), Cellular and Molecular Neuroscience (298 citations), Nutrition and Dietetics (181 citations) and Molecular Biology (737 citations). Heike Siebert has collaborated with scholars based in Germany, Greece and Australia. Frequent co-authors include Wolfgang Brück, Alexander Bockmayr, Nils Brose, William A. Kuziel, Otto Windl, Nobuyo Maeda, Tobias Tings, Armin Giese, Peter Schürmann and Jochen Herms. Their work appears in journals such as Biosystems, Bulletin of Mathematical Biology, Frontiers in Bioengineering and Biotechnology, Brain Research and Journal of Neuroscience.
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.