Johannes Söding

53.1k citations
112 papers · 35.1k · 13 hit papers · h-index 60

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
  • Endocrinology top 0.2%

Papers in

    • RNA and protein synthesis mechanisms 36
    • Genomics and Phylogenetic Studies 33
    • Protein Structure and Dynamics 23
    • Machine Learning in Bioinformatics 17
    • Genomics and Chromatin Dynamics 16
    • RNA Research and Splicing 14
    • Bacteriophages and microbial interactions 11

Johannes Söding

109 papers receiving 34.7k citations

Johannes Söding's Hit Papers

Fast and accurate protein structure search with Foldseek 2023 · 1.2k citations
1.2k0+7+14Years since publication2.5k5.0k7.5k10.0k

Peers

Johannes Söding
Comparison fields: 5 of 188
  • Molecular Biology 22.8k
  • Endocrinology 1.3k
  • Ecology 5.4k
  • Microbiology 1.0k
  • Molecular Medicine 660
Replace Aron Marchler‐Bauer with:
Aron Marchler‐Bauer United States
Kim D. Pruitt United States
Tatiana A. Tatusova United States
Thomas Madden United States
Andreas Wilm Singapore
Erik L. L. Sonnhammer Sweden
Liisa U. Holm Finland
Andrei N. Lupas Germany
Kim Rutherford United Kingdom
Hamish McWilliam United Kingdom
Johannes Söding relative to Aron Marchler‐Bauer United States Aron Marchler‐Bauer's profile →
Citations per field
00.5×1.5×1.9×
Aron Marchler‐Bauer · 1×
Citations per year

Countries citing papers authored by Johannes Söding

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Söding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johannes Söding, 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 Johannes Söding Line = papers co-authored together Johannes Söding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
Hit paper breakdown →
201111985
2
The HHpred interactive server for protein homology detection and structure prediction
Hit paper breakdown →
20053002
3
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Hit paper breakdown →
20172660
4
Protein homology detection by HMM–HMM comparison
Hit paper breakdown →
20042000
5
A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core
Hit paper breakdown →
20171773
6
HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
Hit paper breakdown →
20111763
7
Fast and accurate protein structure search with Foldseek
Hit paper breakdown →
20231233
8
HH-suite3 for fast remote homology detection and deep protein annotation
Hit paper breakdown →
2019749
9
Clustering huge protein sequence sets in linear time
Hit paper breakdown →
2018563
10
Protein Sequence Analysis Using the MPI Bioinformatics Toolkit
Hit paper breakdown →
2020526
11
Uniclust databases of clustered and deeply annotated protein sequences and alignments
Hit paper breakdown →
2016505
12
MMseqs2 desktop and local web server app for fast, interactive sequence searches
Hit paper breakdown →
2019397
13 2009378
14 2010364
15 2016317
16 2014299
17 2019297
18 2006246
19 2019204
20 2003203

About Johannes Söding

Johannes Söding is a scholar working on Molecular Biology, Ecology, Atomic and Molecular Physics, and Optics, Spectroscopy and Genetics, having authored 112 papers that have together received 35.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (36 papers), Genomics and Phylogenetic Studies (33 papers), Protein Structure and Dynamics (23 papers), Machine Learning in Bioinformatics (17 papers), Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (14 papers), Bacteriophages and microbial interactions (11 papers) and Cold Atom Physics and Bose-Einstein Condensates (10 papers). The work is most often cited by research in Molecular Biology (22.8k citations), Endocrinology (1.3k citations), Ecology (5.4k citations), Microbiology (1.0k citations) and Molecular Medicine (660 citations). Johannes Söding has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Martin Steinegger, A. Biegert, Andrei N. Lupas, Michael Remmert, Kevin J. Karplus, Rodrigo Sanz López, Weizhong Li, Hamish McWilliam, Julie Thompson and Fabian Sievers. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Molecular Cell, Nature Methods and PLoS ONE.

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