Michael Remmert

19.9k citations
14 papers · 14.0k indexed · 2 hit papers · h-index 11

Michael Remmert

14 papers receiving 13.9k citations

Hit Papers

Fast, scalable generation of high‐quality protein multipl...11.2k20112026201620212.5k5.0k7.5k10.0k

Peers

Michael Remmert
Comparison fields: 5 of 168
  • Molecular Biology 9.1k
  • Endocrinology 514
  • Biotechnology 669
  • Molecular Medicine 346
  • Microbiology 406
Replace Fabian Sievers with:
Fabian Sievers Ireland
Lawrence A. Kelley United Kingdom
Simon Potter United Kingdom
Kevin Karplus United States
Aron Marchler‐Bauer United States
Marco Punta United States
Alex Mitchell United Kingdom
Geoffrey J. Barton United Kingdom
Kim D. Pruitt United States
Ruth Y. Eberhardt United Kingdom
Michael Remmert relative to Fabian Sievers Ireland Fabian Sievers's profile →
Citations per field
00.5×1.5×
Fabian Sievers · 1×
Citations per year

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

The 25 scholars most cited alongside Michael Remmert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Remmert Line = papers co-authored together Michael Remmert links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20154
2
HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignmentbreakdown →
20111638
3 201161
4
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omegabreakdown →
201111202
5 201084
6 200966
7 2009349
8 200981
9 20086
10 2006241
11 200660
12 200670
13 2005116
14
Towards European standards on electronic voting
20047

About Michael Remmert

Michael Remmert is a scholar working on Molecular Biology, Law and Cancer Research, having authored 14 papers that have together received 14.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), Glycosylation and Glycoproteins Research (2 papers), Enzyme Structure and Function (2 papers), RNA modifications and cancer (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (9.1k citations), Endocrinology (514 citations) and Biotechnology (669 citations). Michael Remmert has collaborated with scholars based in Germany, Belgium and Singapore. Frequent co-authors include Johannes Söding, Hamish McWilliam, Kevin Karplus, Julie Thompson, Weizhong Li, Desmond G. Higgins, Andreas Wilm, Rodrigo López, Fabian Sievers and Toby J. Gibson. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Nature Methods, Molecular Biology and Evolution and Bioinformatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026