Michael Remmert

19.9k total citations · 2 hit papers
14 papers, 14.0k citations indexed

About

Michael Remmert is a scholar working on Molecular Biology, Materials Chemistry and Political Science and International Relations. According to data from OpenAlex, Michael Remmert has authored 14 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Political Science and International Relations. Recurrent topics in Michael Remmert's work include Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers) and Protein Structure and Dynamics (5 papers). Michael Remmert is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers) and Protein Structure and Dynamics (5 papers). Michael Remmert collaborates with scholars based in Germany, France and Singapore. Michael Remmert's co-authors include Johannes Söding, Hamish McWilliam, Julie Thompson, Desmond G. Higgins, Andreas Wilm, Rodrigo López, Toby J. Gibson, Kevin Karplus, Weizhong Li and Fabian Sievers and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Nature Methods.

In The Last Decade

Michael Remmert

14 papers receiving 13.9k citations

Hit Papers

Fast, scalable generation of high‐quality protein multipl... 2011 2026 2016 2021 2011 2011 2.5k 5.0k 7.5k 10.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
    2011 11.2k citations Fabian Sievers, Andreas Wilm et al. Molecular Systems Biology profile →
  2. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
    2011 1.6k citations Michael Remmert, A. Biegert et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Remmert Germany 11 9.1k 2.2k 1.7k 1.6k 1.1k 14 14.0k
Fabian Sievers Ireland 13 8.9k 1.0× 2.3k 1.1× 1.7k 1.0× 1.6k 1.0× 1.3k 1.2× 16 14.2k
Lawrence A. Kelley United Kingdom 22 10.0k 1.1× 2.6k 1.2× 1.9k 1.1× 1.4k 0.9× 1.2k 1.1× 40 15.3k
Marc R. Wilkins Australia 51 10.4k 1.1× 1.8k 0.8× 1.3k 0.8× 948 0.6× 969 0.9× 232 15.3k
Thomas Dandekar Germany 61 8.6k 0.9× 1.8k 0.8× 1.3k 0.8× 1.8k 1.1× 861 0.8× 369 14.8k
Kevin Karplus United States 36 12.5k 1.4× 2.3k 1.1× 1.9k 1.1× 1.7k 1.0× 1.2k 1.0× 83 18.8k
Aron Marchler‐Bauer United States 29 8.6k 0.9× 3.5k 1.6× 1.4k 0.8× 1.5k 0.9× 707 0.6× 50 12.9k
Tal Pupko Israel 50 10.7k 1.2× 1.7k 0.8× 2.7k 1.6× 1.5k 0.9× 791 0.7× 142 15.1k
Elisabeth Gasteiger Switzerland 29 9.9k 1.1× 2.7k 1.3× 1.2k 0.7× 950 0.6× 759 0.7× 39 14.4k
Nicolas Guex Switzerland 33 9.5k 1.0× 1.6k 0.7× 1.5k 0.9× 785 0.5× 967 0.9× 76 14.6k
Patrice Gouet France 27 7.2k 0.8× 1.6k 0.8× 1.5k 0.9× 909 0.6× 1.4k 1.3× 78 11.3k

Countries citing papers authored by Michael Remmert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Remmert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Remmert

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

All Works

14 of 14 papers shown
1.
Mayer, Andreas, Mai Sun, Michael Remmert, et al.. (2015). Structure of Ctk3, a subunit of the RNA polymerase II CTD kinase complex, reveals a noncanonical CTD-interacting domain fold. Proteins Structure Function and Bioinformatics. 83(10). 1849–1858. 4 indexed citations
2.
Sievers, Fabian, Andreas Wilm, Toby J. Gibson, et al.. (2011). Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega. Molecular Systems Biology. 7(1). 539–539. 11202 indexed citations breakdown →
3.
Söding, Johannes & Michael Remmert. (2011). Protein sequence comparison and fold recognition: progress and good-practice benchmarking. Current Opinion in Structural Biology. 21(3). 404–411. 61 indexed citations
4.
Remmert, Michael, A. Biegert, Andreas Hauser, & Johannes Söding. (2011). HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment. Nature Methods. 9(2). 173–175. 1638 indexed citations breakdown →
5.
Remmert, Michael, A. Biegert, Dirk Linke, Andrei N. Lupas, & Johannes Söding. (2010). Evolution of Outer Membrane β-Barrels from an Ancestral ββ Hairpin. Molecular Biology and Evolution. 27(6). 1348–1358. 84 indexed citations
6.
Alva, Vikram, Michael Remmert, A. Biegert, Andrei N. Lupas, & Johannes Söding. (2009). A galaxy of folds. Protein Science. 19(1). 124–130. 66 indexed citations
7.
Remmert, Michael, Dirk Linke, Andrei N. Lupas, & Johannes Söding. (2009). HHomp—prediction and classification of outer membrane proteins. Nucleic Acids Research. 37(suppl_2). W446–W451. 81 indexed citations
8.
Hildebrand, Andrea, Michael Remmert, A. Biegert, & Johannes Söding. (2009). Fast and accurate automatic structure prediction with HHpred. Proteins Structure Function and Bioinformatics. 77(S9). 128–132. 349 indexed citations
9.
Remmert, Michael, et al.. (2008). PDBalert: automatic, recurrent remote homology tracking and protein structure prediction. BMC Structural Biology. 8(1). 51–51. 6 indexed citations
10.
Biegert, A., Claudine Mayer, Michael Remmert, Johannes Söding, & Andrei N. Lupas. (2006). The MPI Bioinformatics Toolkit for protein sequence analysis. Nucleic Acids Research. 34(Web Server). W335–W339. 241 indexed citations
11.
Söding, Johannes, Michael Remmert, & A. Biegert. (2006). HHrep: de novo protein repeat detection and the origin of TIM barrels. Nucleic Acids Research. 34(Web Server). W137–W142. 60 indexed citations
12.
Söding, Johannes, Michael Remmert, A. Biegert, & Andrei N. Lupas. (2006). HHsenser: exhaustive transitive profile search using HMM-HMM comparison. Nucleic Acids Research. 34(Web Server). W374–W378. 70 indexed citations
13.
Dezulian, Tobias, Michael Remmert, Javier F. Palatnik, Detlef Weigel, & Daniel H. Huson. (2005). Identification of plant microRNA homologs. Bioinformatics. 22(3). 359–360. 116 indexed citations
14.
Remmert, Michael. (2004). Towards European standards on electronic voting. 13–16. 7 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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