Lukas Käll

15.5k citations
81 papers · 10.3k · 5 hit papers · h-index 37

Impact in

  • Spectroscopy top 0.1%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics

Papers in

    • Machine Learning in Bioinformatics 25
    • Metabolomics and Mass Spectrometry Studies 18
    • RNA and protein synthesis mechanisms 13
    • Genomics and Phylogenetic Studies 10
    • Gene expression and cancer classification 10
    • Advanced Proteomics Techniques and Applications 57
    • Mass Spectrometry Techniques and Applications 39
    • Analytical Chemistry and Chromatography 5

Lukas Käll

79 papers receiving 10.2k citations

Lukas Käll's Hit Papers

Automated model building and protein identification in cryo-EM maps 2024 · 231 citations
2310+7+14Years since publication50010001.5k

Peers

Lukas Käll
Comparison fields: 5 of 167
  • Spectroscopy 2.8k
  • Molecular Biology 7.0k
  • Aging 96
  • Microbiology 290
  • Parasitology 291
Replace Juan Antonio Vizcaíno with:
Juan Antonio Vizcaíno United Kingdom
Yasset Pérez‐Riverol United Kingdom
Boris Maček Germany
Elisabeth Gasteiger Switzerland
Stefka Tyanova Germany
Kris Gevaert Belgium
Richard A. Scheltema Netherlands
Marc R. Wilkins Australia
Andrew Keller United States
Marco Y. Hein Germany
Lukas Käll relative to Juan Antonio Vizcaíno United Kingdom Juan Antonio Vizcaíno's profile →
Citations per field
00.5×1.5×
Juan Antonio Vizcaíno · 1×
Citations per year

Countries citing papers authored by Lukas Käll

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Käll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Combined Transmembrane Topology and Signal Peptide Prediction Method
Hit paper breakdown →
20041799
2
Semi-supervised learning for peptide identification from shotgun proteomics datasets
Hit paper breakdown →
20071659
3
Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web server
Hit paper breakdown →
20071280
4
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides
Hit paper breakdown →
2015655
5 2007484
6 2016328
7 2016264
8 2005262
9 2007232
10
Automated model building and protein identification in cryo-EM maps
Hit paper breakdown →
2024231
11 2008204
12 2009200
13 2013195
14 2007160
15 2008152
16 2008148
17 2006135
18 2015131
19 2015119
20 201898

About Lukas Käll

Lukas Käll is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 81 papers that have together received 10.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (57 papers), Mass Spectrometry Techniques and Applications (39 papers), Machine Learning in Bioinformatics (25 papers), Metabolomics and Mass Spectrometry Studies (18 papers), RNA and protein synthesis mechanisms (13 papers), Genomics and Phylogenetic Studies (10 papers), Gene expression and cancer classification (10 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Spectroscopy (2.8k citations), Molecular Biology (7.0k citations), Aging (96 citations), Microbiology (290 citations) and Parasitology (291 citations). Lukas Käll has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Erik L. L. Sonnhammer, Anders Krogh, William Stafford Noble, Michael J. MacCoss, Jason Weston, Jesse D. Canterbury, John D. Storey, Arne Elofsson, Konstantinos D. Tsirigos and Christoph Peters. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Bioinformatics, Molecular & Cellular Proteomics and Nature Methods.

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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