Lars Juhl Jensen

534 total papers · 120.4k total citations
239 papers, 74.6k citations indexed

About

Lars Juhl Jensen is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Lars Juhl Jensen has authored 239 papers receiving a total of 74.6k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Molecular Biology, 29 papers in Spectroscopy and 26 papers in Artificial Intelligence. Recurrent topics in Lars Juhl Jensen's work include Bioinformatics and Genomic Networks (81 papers), Biomedical Text Mining and Ontologies (53 papers) and Genomics and Phylogenetic Studies (41 papers). Lars Juhl Jensen is often cited by papers focused on Bioinformatics and Genomic Networks (81 papers), Biomedical Text Mining and Ontologies (53 papers) and Genomics and Phylogenetic Studies (41 papers). Lars Juhl Jensen collaborates with scholars based in Denmark, Germany and United States. Lars Juhl Jensen's co-authors include Peer Bork, Christian von Mering, Damian Szklarczyk, Michael Kuhn, Milan Simonovic, Nadezhda T. Doncheva, Jaime Huerta‐Cepas, Stefan Wyder, Alexander Röth and John H. Morris and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lars Juhl Jensen

236 papers receiving 73.8k citations

Hit Papers

STRING v11: protein–prote... 2003 2026 2010 2018 2018 2014 2016 2020 2012 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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
    2018 11.5k citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
  2. STRING v10: protein–protein interaction networks, integrated over the tree of life
    2014 7.7k citations Damian Szklarczyk, Andrea Franceschini et al. Nucleic Acids Research profile →
  3. The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
    2016 5.2k citations Damian Szklarczyk, John H. Morris et al. Nucleic Acids Research profile →
  4. The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
    2020 4.9k citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
  5. STRING v9.1: protein-protein interaction networks, with increased coverage and integration
    2012 3.5k citations Andrea Franceschini, Damian Szklarczyk et al. Nucleic Acids Research profile →
  6. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest
    2022 3.4k citations Damian Szklarczyk, Rebecca Kirsch et al. Nucleic Acids Research profile →
  7. The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
    2010 2.8k citations Damian Szklarczyk, Andrea Franceschini et al. Nucleic Acids Research profile →
  8. eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
    2018 2.7k citations Jaime Huerta‐Cepas, Damian Szklarczyk et al. Nucleic Acids Research profile →
  9. STRING 8--a global view on proteins and their functional interactions in 630 organisms
    2008 1.9k citations Lars Juhl Jensen, Michael Kuhn et al. Nucleic Acids Research profile →
  10. Fast Genome-Wide Functional Annotation through Orthology Assignment by eggNOG-Mapper
    2017 1.8k citations Jaime Huerta‐Cepas, Sofia K. Forslund et al. Molecular Biology and Evolution profile →
  11. eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences
    2015 1.5k citations Jaime Huerta‐Cepas, Damian Szklarczyk et al. Nucleic Acids Research profile →
  12. Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data
    2018 1.4k citations Nadezhda T. Doncheva, John H. Morris et al. Journal of Proteome Research profile →
  13. Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis
    2010 1.2k citations Jesper V. Olsen, Michiel Vermeulen et al. Science Signaling profile →
  14. STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data
    2015 1.1k citations Damian Szklarczyk, Alberto Santos et al. Nucleic Acids Research profile →
  15. Mining electronic health records: towards better research applications and clinical care
    2012 1.0k citations Peter Bjødstrup Jensen, Lars Juhl Jensen et al. Nature Reviews Genetics profile →
  16. Feature-based prediction of non-classical and leaderless protein secretion
    2004 978 citations Jannick Dyrløv Bendtsen, Lars Juhl Jensen et al. Protein Engineering Design and Selection profile →
  17. Protein Disorder Prediction
    2003 968 citations Rune Linding, Lars Juhl Jensen et al. Structure profile →
  18. Drug Target Identification Using Side-Effect Similarity
    2008 966 citations Mónica Campillos, Michael Kuhn et al. Science profile →
  19. The SIDER database of drugs and side effects
    2015 907 citations Michael Kuhn, Ivica Letunić et al. Nucleic Acids Research profile →
  20. STITCH: interaction networks of chemicals and proteins
    2007 723 citations Michael Kuhn, Christian von Mering et al. Nucleic Acids Research profile →
  21. A side effect resource to capture phenotypic effects of drugs
    2010 701 citations Michael Kuhn, Mónica Campillos et al. Molecular Systems Biology profile →
  22. Phospho.ELM: a database of phosphorylation sites--update 2011
    2010 544 citations Holger Dinkel, Claudia Chica et al. Nucleic Acids Research profile →
  23. STRING 7--recent developments in the integration and prediction of protein interactions
    2006 522 citations Christian von Mering, Lars Juhl Jensen et al. Nucleic Acids Research profile →
  24. eggNOG v4.0: nested orthology inference across 3686 organisms
    2013 490 citations Sean Powell, Sofia K. Forslund et al. Nucleic Acids Research profile →
  25. COMPARTMENTS: unification and visualization of protein subcellular localization evidence
    2014 427 citations Janos X. Binder, Sune Pletscher-Frankild et al. Database profile →
  26. DISEASES: Text mining and data integration of disease–gene associations
    2014 394 citations Sune Pletscher-Frankild, Albert Pallejá et al. Methods profile →
  27. STITCH 4: integration of protein–chemical interactions with user data
    2013 359 citations Michael Kuhn, Damian Szklarczyk et al. Nucleic Acids Research profile →
  28. Improved metagenome binning and assembly using deep variational autoencoders
    2021 295 citations Jakob Nybo Nissen, Joachim Johansen et al. Nature Biotechnology profile →
  29. Correction to ‘The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets’
    2021 259 citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
  30. eggNOG 6.0: enabling comparative genomics across 12 535 organisms
    2022 135 citations Ana Hernández-Plaza, Damian Szklarczyk et al. Nucleic Acids Research profile →
  31. A knowledge graph to interpret clinical proteomics data
    2022 134 citations Alberto Santos, Ana R. Colaço et al. Nature Biotechnology profile →
  32. The STRING database in 2025: protein networks with directionality of regulation
    2024 75 citations Damian Szklarczyk, Katerina Nastou et al. Nucleic Acids Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lars Juhl Jensen 49.3k 8.1k 7.4k 6.4k 6.1k 239 74.6k
Trey Ideker 46.5k 0.9× 8.2k 1.0× 5.0k 0.7× 6.4k 1.0× 4.8k 0.8× 242 66.3k
Christian von Mering 45.2k 0.9× 7.5k 0.9× 4.8k 0.6× 6.2k 1.0× 5.6k 0.9× 132 68.9k
Minoru Kanehisa 75.9k 1.5× 12.1k 1.5× 7.4k 1.0× 10.1k 1.6× 8.6k 1.4× 266 113.1k
Susumu Goto 31.4k 0.6× 4.9k 0.6× 3.6k 0.5× 4.3k 0.7× 3.4k 0.6× 143 46.8k
David S. Wishart 48.0k 1.0× 3.0k 0.4× 6.7k 0.9× 4.9k 0.8× 2.9k 0.5× 551 75.1k
Damian Szklarczyk 31.6k 0.6× 6.6k 0.8× 3.4k 0.5× 4.5k 0.7× 4.8k 0.8× 41 50.3k
Chris Sander 69.4k 1.4× 26.2k 3.2× 3.0k 0.4× 8.3k 1.3× 6.5k 1.1× 307 92.9k
Nitin S. Baliga 26.4k 0.5× 5.8k 0.7× 2.0k 0.3× 3.8k 0.6× 3.3k 0.5× 142 41.4k
Peer Bork 96.5k 2.0× 9.5k 1.2× 8.3k 1.1× 15.2k 2.4× 10.0k 1.6× 525 144.6k
Jill P. Mesirov 51.6k 1.0× 15.1k 1.9× 2.0k 0.3× 7.4k 1.2× 10.2k 1.7× 138 79.4k

Countries citing papers authored by Lars Juhl Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Lars Juhl Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Juhl Jensen. 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 Lars Juhl Jensen. The network helps show where Lars Juhl Jensen may publish in the future.

Co-authorship network of co-authors of Lars Juhl Jensen

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

All Works

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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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