Matthias Siebert

2.1k total citations
39 papers, 1.4k citations indexed

About

Matthias Siebert is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Matthias Siebert has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Matthias Siebert's work include Wireless Communication Networks Research (9 papers), Advanced Wireless Network Optimization (8 papers) and IPv6, Mobility, Handover, Networks, Security (6 papers). Matthias Siebert is often cited by papers focused on Wireless Communication Networks Research (9 papers), Advanced Wireless Network Optimization (8 papers) and IPv6, Mobility, Handover, Networks, Security (6 papers). Matthias Siebert collaborates with scholars based in Germany, France and United States. Matthias Siebert's 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 and has published in prestigious journals such as Science, Nucleic Acids Research and Genes & Development.

In The Last Decade

Matthias Siebert

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthias Siebert Germany 16 882 289 196 167 124 39 1.4k
Hui Jin United States 18 711 0.8× 251 0.9× 150 0.8× 15 0.1× 139 1.1× 51 1.3k
Akiko Mizutani Japan 15 306 0.3× 174 0.6× 69 0.4× 48 0.3× 14 0.1× 67 1.1k
Chi‐Hung Lin Taiwan 16 461 0.5× 297 1.0× 545 2.8× 14 0.1× 47 0.4× 57 1.6k
K. Martin United States 10 617 0.7× 140 0.5× 84 0.4× 130 0.8× 11 0.1× 16 888
Martin W. Simmen United Kingdom 18 653 0.7× 162 0.6× 39 0.2× 28 0.2× 17 0.1× 23 1.0k
Vincent Fraisier France 21 877 1.0× 88 0.3× 645 3.3× 13 0.1× 68 0.5× 27 1.9k
Jean‐Marc Philippe France 18 716 0.8× 254 0.9× 658 3.4× 22 0.1× 18 0.1× 47 1.6k
Jenny Lin United States 26 1.1k 1.3× 227 0.8× 442 2.3× 25 0.1× 6 0.0× 53 1.8k
Pouya Kheradpour United States 14 3.1k 3.5× 160 0.6× 43 0.2× 29 0.2× 95 0.8× 17 3.8k
Tom Deerinck United States 14 1.1k 1.2× 418 1.4× 134 0.7× 264 1.6× 5 0.0× 22 2.1k

Countries citing papers authored by Matthias Siebert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthias Siebert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Siebert. A scholar is included among the top collaborators of Matthias Siebert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Siebert. Matthias Siebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chaganti, Shikha, et al.. (2025). Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers. Scientific Reports. 15(1). 12661–12661.
3.
Siebert, Matthias. (2020). Beherztes körperliches Eingreifen und der Wert von Berührung im schulischen Kontext. SHILAP Revista de lepidopterología. 2(6). 193–206.
4.
Driller, J.H., Janine Lützkendorf, Harald Depner, et al.. (2019). Phosphorylation of the Bruchpilot N-terminus in Drosophila unlocks axonal transport of active zone building blocks. Journal of Cell Science. 132(6). 7 indexed citations
5.
Girard, Édouard, J. Abba, Matthias Siebert, et al.. (2016). Management of splenic and pancreatic trauma. Journal of Visceral Surgery. 153(4). 45–60. 38 indexed citations
6.
Schwab, Fabienne D., et al.. (2016). Elastography Complements Ultrasound as Principle Modality in Breast Lesion Assessment. Gynecologic and Obstetric Investigation. 82(2). 119–124. 8 indexed citations
7.
Siebert, Matthias & Johannes Söding. (2016). Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences. Nucleic Acids Research. 44(13). 6055–6069. 50 indexed citations
8.
Schwab, Fabienne D., et al.. (2016). Inter- and Intra-Observer Agreement in Ultrasound BI-RADS Classification and Real-Time Elastography Tsukuba Score Assessment of Breast Lesions. Ultrasound in Medicine & Biology. 42(11). 2622–2629. 28 indexed citations
9.
Siebert, Matthias, Mathias A. Böhme, J.H. Driller, et al.. (2015). A high affinity RIM-binding protein/Aplip1 interaction prevents the formation of ectopic axonal active zones. eLife. 4. 24 indexed citations
10.
Meinel, Dominik M., Eoghan O’Duibhir, Matthias Siebert, et al.. (2013). Recruitment of TREX to the Transcription Machinery by Its Direct Binding to the Phospho-CTD of RNA Polymerase II. PLoS Genetics. 9(11). e1003914–e1003914. 53 indexed citations
11.
Hartmann, Holger, et al.. (2012). P-value-based regulatory motif discovery using positional weight matrices. Genome Research. 23(1). 181–194. 51 indexed citations
12.
Mayer, Andreas, Michael Lidschreiber, Matthias Siebert, et al.. (2010). Uniform transitions of the general RNA polymerase II transcription complex. Nature Structural & Molecular Biology. 17(10). 1272–1278. 368 indexed citations
13.
Siebert, Matthias, et al.. (2009). Drosophila motor axons recognize and follow a Sidestep-labeled substrate pathway to reach their target fields. Genes & Development. 23(9). 1052–1062. 36 indexed citations
14.
Bayer, Nico, David Hock, Matthias Siebert, et al.. (2008). VoIP Performance in "MeshBed" - a Wireless Mesh Networks Testbed. 2218–2222. 4 indexed citations
15.
Chaouchi, Hakima, Guy Pujolle, Matthias Siebert, et al.. (2005). Policy based networking in the integration effort of 4G networks and services. 5. 2977–2981. 7 indexed citations
16.
Ганчев, Иван, et al.. (2005). Requirements for an integrated system and service 4G architecture. 5. 3029–3034. 10 indexed citations
17.
Siebert, Matthias, et al.. (2004). Enhanced measurement procedures for vertical handover in heterogeneous wireless systems. 1. 166–171. 12 indexed citations
18.
Tercanli, Sevgi, Peter Miny, Matthias Siebert, et al.. (2001). Fanconi anemia associated with increased nuchal translucency detected by first‐trimester ultrasound. Ultrasound in Obstetrics and Gynecology. 17(2). 160–162. 15 indexed citations
19.
Arabin, Birgit, et al.. (1989). Prospektive Aussagekraft der Doppler-Blutflußmessung in uteroplazentaren und fetalen Gefäßen - eine vergleichende Untersuchung multipler Parameter. Geburtshilfe und Frauenheilkunde. 49(5). 457–462. 2 indexed citations
20.
Arabin, Birgit, et al.. (1988). Obstetrical Characteristics of a Loss of End-Diastolic Velocities in the Fetal Aorta and/or Umbilical Artery Using Doppler Ultrasound. Gynecologic and Obstetric Investigation. 25(3). 173–180. 28 indexed citations

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.

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