Mathias Möhl

455 total citations
12 papers, 244 citations indexed

About

Mathias Möhl is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mathias Möhl has authored 12 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Mathias Möhl's work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (6 papers) and Genomics and Phylogenetic Studies (5 papers). Mathias Möhl is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (6 papers) and Genomics and Phylogenetic Studies (5 papers). Mathias Möhl collaborates with scholars based in Germany, Israel and United States. Mathias Möhl's co-authors include Rolf Backofen, Sebastian Will, Chris M. Brown, Sita J. Lange, Daniel Maticzka, Martin Mann, Milad Miladi, Marco Kuhlmann, Robert Giegerich and Gad M. Landau and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Mathias Möhl

11 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Möhl Germany 8 222 21 19 18 17 12 244
Jifang Yan China 5 401 1.8× 13 0.6× 10 0.5× 31 1.7× 49 2.9× 6 426
CJ Barberan United States 3 135 0.6× 43 2.0× 14 0.7× 13 0.7× 13 0.8× 4 204
Mary Ann Tuli United Kingdom 6 163 0.7× 16 0.8× 8 0.4× 17 0.9× 23 1.4× 10 205
Shitij Bhargava United States 3 103 0.5× 24 1.1× 13 0.7× 17 0.9× 22 1.3× 5 163
Julien Marquevielle France 10 269 1.2× 12 0.6× 9 0.5× 14 0.8× 7 0.4× 12 304
Swetlana Nikolajewa Germany 10 235 1.1× 12 0.6× 12 0.6× 15 0.8× 42 2.5× 11 263
Charlotte H. Wang United States 2 115 0.5× 11 0.5× 11 0.6× 19 1.1× 65 3.8× 3 186
Zhi Yan United States 4 174 0.8× 27 1.3× 17 0.9× 43 2.4× 49 2.9× 9 243
Licheng Wu China 8 169 0.8× 24 1.1× 11 0.6× 19 1.1× 8 0.5× 16 216

Countries citing papers authored by Mathias Möhl

Since Specialization
Citations

This map shows the geographic impact of Mathias Möhl'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 Mathias Möhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Möhl more than expected).

Fields of papers citing papers by Mathias Möhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Möhl. 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 Mathias Möhl. The network helps show where Mathias Möhl may publish in the future.

Co-authorship network of co-authors of Mathias Möhl

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Möhl. A scholar is included among the top collaborators of Mathias Möhl 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 Mathias Möhl. Mathias Möhl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Will, Sebastian, et al.. (2015). SPARSE: quadratic time simultaneous alignment and folding of RNAs without sequence-based heuristics. Bioinformatics. 31(15). 2489–2496. 29 indexed citations
2.
Backofen, Rolf, et al.. (2014). Local Exact Pattern Matching for Non-Fixed RNA Structures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(1). 219–230. 6 indexed citations
3.
Möhl, Mathias, et al.. (2014). ExpaRNA-P: simultaneous exact pattern matching and folding of RNAs. BMC Bioinformatics. 15(1). 404–404. 11 indexed citations
4.
Möhl, Mathias, et al.. (2013). Bellman’s GAP—a language and compiler for dynamic programming in sequence analysis. Bioinformatics. 29(5). 551–560. 13 indexed citations
5.
Möhl, Mathias, et al.. (2012). CARNA--alignment of RNA structure ensembles. Nucleic Acids Research. 40(W1). W49–W53. 42 indexed citations
6.
Lange, Sita J., et al.. (2012). Global or local? Predicting secondary structure and accessibility in mRNAs. Nucleic Acids Research. 40(12). 5215–5226. 109 indexed citations
7.
Backofen, Rolf, Gad M. Landau, Mathias Möhl, Dekel Tsur, & Oren Weimann. (2010). Fast RNA structure alignment for crossing input structures. Journal of Discrete Algorithms. 9(1). 2–11. 1 indexed citations
8.
Möhl, Mathias, Raheleh Salari, Sebastian Will, Rolf Backofen, & S. Cenk Şahinalp. (2010). Sparsification of RNA structure prediction including pseudoknots. Algorithms for Molecular Biology. 5(1). 39–39. 12 indexed citations
9.
Möhl, Mathias, Sebastian Will, & Rolf Backofen. (2010). Lifting Prediction to Alignment of RNA Pseudoknots. Journal of Computational Biology. 17(3). 429–442. 12 indexed citations
10.
Kallmeyer, Laura, Paola Monachesi, Gerald Penn, et al.. (2009). The string-generative capacity of regular dependency languages. 1 indexed citations
11.
Kuhlmann, Marco & Mathias Möhl. (2006). Extended cross-serial dependencies in Tree Adjoining Grammars. 121–126. 8 indexed citations
12.
Grabowski, Robert, Marco Kuhlmann, & Mathias Möhl. (2006). Lexicalised Configuration Grammars.

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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