Matthias Siebert
Impact in
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- Neurobiology and Insect Physiology Research
- Structural Biology top 10%
Papers in
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- Wireless Communication Networks Research 9
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- Advanced Wireless Network Optimization 8
- IPv6, Mobility, Handover, Networks, Security 6
- Advanced MIMO Systems Optimization 5
- Co-authors
- Johannes Söding (5 shared papers)Patrick Cramer (2 shared papers)Andreas Mayer (2 shared papers)Michael Lidschreiber (1 shared paper)Kristin Leike (1 shared paper)François Enault (1 shared paper)Clovis Galiez (1 shared paper)Jonathan Vincent (1 shared paper)
- Journals
- Scientific Reports (2 papers)Gynecologic and Obstetric Investigation (2 papers)The Journal of Cell Biology (1 paper)Nature Structural & Molecular Biology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Matthias Siebert
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 289
- Structural Biology 22
- Molecular Biology 882
- Cell Biology 196
- Aging 20
Countries citing papers authored by Matthias Siebert
This map shows the geographic impact of Matthias 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 Matthias Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Siebert more than expected).
Fields of papers citing papers by Matthias Siebert
This network shows the impact of papers produced by Matthias 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 Matthias Siebert. The network helps show where Matthias Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 368 | |
| 2 | 2011 | 214 | |
| 3 | 2017 | 168 | |
| 4 | 2013 | 86 | |
| 5 | 2011 | 66 | |
| 6 | 2013 | 53 | |
| 7 | 2012 | 51 | |
| 8 | 2016 | 50 | |
| 9 | 2016 | 38 | |
| 10 | 2009 | 36 | |
| 11 | 1988 | 28 | |
| 12 | 2016 | 28 | |
| 13 | 2015 | 24 | |
| 14 | 2004 | 24 | |
| 15 | 2001 | 15 | |
| 16 | 2008 | 15 | |
| 17 | 2004 | 12 | |
| 18 | Location Aided Handover Support for Next Generation System Integration | 2003 | 11 |
| 19 | 2005 | 10 | |
| 20 | 2016 | 8 |
About Matthias Siebert
Matthias Siebert is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (9 papers), Advanced Wireless Network Optimization (8 papers), IPv6, Mobility, Handover, Networks, Security (6 papers), Advanced MIMO Systems Optimization (5 papers), Genomics and Chromatin Dynamics (4 papers), Cellular transport and secretion (4 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (289 citations), Structural Biology (22 citations), Molecular Biology (882 citations), Cell Biology (196 citations) and Aging (20 citations). Matthias Siebert has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Johannes Söding, Patrick Cramer, Andreas Mayer, Michael Lidschreiber, Kristin Leike, François Enault, Clovis Galiez, Jonathan Vincent, Stephan J. Sigrist and Stefan W. Hell. Their work appears in journals such as Scientific Reports, Gynecologic and Obstetric Investigation, The Journal of Cell Biology, Nature Structural & Molecular Biology and PLoS Genetics.
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.