A. Biegert

7.8k citations
13 papers · 5.7k indexed · 2 hit papers · h-index 12

A. Biegert

13 papers receiving 5.6k citations

Hit Papers

HHblits: lightning-fast iterative protein sequence search...1.6k200520262012201950010001.5k2.0k2.5k

Peers

A. Biegert
Comparison fields: 5 of 139
  • Molecular Biology 4.3k
  • Endocrinology 266
  • Ecology 1.2k
  • Microbiology 280
  • Genetics 725
Replace Daniel Gautheret with:
Daniel Gautheret France
Stephen W. Turner United States
Penny Coggill United Kingdom
Darren A. Natale United States
Renata C. Geer United States
Kevin Bryson United Kingdom
Milot Mirdita South Korea
Gil Amitai Israel
Vikram Alva Germany
Adrian R. Tivey United Kingdom
A. Biegert relative to Daniel Gautheret France Daniel Gautheret's profile →
Citations per field
00.5×1.5×2.2×
Daniel Gautheret · 1×
Citations per year

Countries citing papers authored by A. Biegert

Since Specialization
Citations

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

Fields of papers citing papers by A. Biegert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside A. Biegert, 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 A. Biegert Line = papers co-authored together A. Biegert links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201239
2
HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignmentbreakdown →
20111638
3 201084
4 2009135
5 200966
6 2009349
7 20086
8 2008120
9 200872
10 2006241
11 200660
12 200670
13
The HHpred interactive server for protein homology detection and structure predictionbreakdown →
20052814

About A. Biegert

A. Biegert is a scholar working on Molecular Biology, Cell Biology and Spectroscopy, having authored 13 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (9 papers), Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (4 papers), Lipid Membrane Structure and Behavior (2 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Molecular Biology (4.3k citations), Endocrinology (266 citations) and Ecology (1.2k citations). A. Biegert has collaborated with scholars based in Germany, India and United Kingdom. Frequent co-authors include Johannes Söding, Andrei N. Lupas, Michael Remmert, Andreas Hauser, Andrea Hildebrand, Claudine Mayer, Dirk Linke, Vikram Alva, ROBERT FINN and Alex Bateman. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Nature Methods, Molecular Biology and Evolution and Proteins Structure Function 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.

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