Lars Juhl Jensen
Impact in
- Molecular Biology top 0.01%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
Papers in
-
- Bioinformatics and Genomic Networks 76
- Biomedical Text Mining and Ontologies 50
- Genomics and Phylogenetic Studies 39
- RNA and protein synthesis mechanisms 27
- Gene expression and cancer classification 24
- Machine Learning in Bioinformatics 18
- Spectroscopy 29
- Advanced Proteomics Techniques and Applications 28
- Co-authors
- Peer Bork (64 shared papers)Christian von Mering (35 shared papers)Damian Szklarczyk (29 shared papers)Michael Kuhn (27 shared papers)Milan Simonovic (6 shared papers)Nadezhda T. Doncheva (19 shared papers)Jaime Huerta‐Cepas (7 shared papers)Stefan Wyder (3 shared papers)
- Journals
- Nucleic Acids Research (38 papers)Bioinformatics (17 papers)PLoS Computational Biology (9 papers)Nature Communications (8 papers)Journal of Proteome Research (7 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Lars Juhl Jensen
241 papers receiving 78.7k citations
Lars Juhl Jensen's Hit Papers
Peers
Comparison fields: 5 of 218
- Molecular Biology 44.9k
- Cancer Research 6.3k
- Computational Theory and Mathematics 6.9k
- Immunology 5.0k
- Pharmacology 2.1k
Countries citing papers authored by Lars Juhl Jensen
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
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-authors
The 25 scholars most cited alongside Lars Juhl Jensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets Hit paper breakdown → | 2018 | 12082 |
| 2 | STRING v10: protein–protein interaction networks, integrated over the tree of life Hit paper breakdown → | 2014 | 7998 |
| 3 | The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible Hit paper breakdown → | 2016 | 5358 |
| 4 | The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets Hit paper breakdown → | 2020 | 5293 |
| 5 | The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest Hit paper breakdown → | 2022 | 4265 |
| 6 | STRING v9.1: protein-protein interaction networks, with increased coverage and integration Hit paper breakdown → | 2012 | 3613 |
| 7 | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses Hit paper breakdown → | 2018 | 3060 |
| 8 | The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored Hit paper breakdown → | 2010 | 2873 |
| 9 | STRING 8--a global view on proteins and their functional interactions in 630 organisms Hit paper breakdown → | 2008 | 2010 |
| 10 | Fast Genome-Wide Functional Annotation through Orthology Assignment by eggNOG-Mapper Hit paper breakdown → | 2017 | 1930 |
| 11 | eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences Hit paper breakdown → | 2015 | 1577 |
| 12 | Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data Hit paper breakdown → | 2018 | 1452 |
| 13 | Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis Hit paper breakdown → | 2010 | 1251 |
| 14 | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data Hit paper breakdown → | 2015 | 1218 |
| 15 | Mining electronic health records: towards better research applications and clinical care Hit paper breakdown → | 2012 | 1178 |
| 16 | Drug Target Identification Using Side-Effect Similarity Hit paper breakdown → | 2008 | 1035 |
| 17 | The SIDER database of drugs and side effects Hit paper breakdown → | 2015 | 1031 |
| 18 | Protein Disorder Prediction Hit paper breakdown → | 2003 | 1006 |
| 19 | Feature-based prediction of non-classical and leaderless protein secretion Hit paper breakdown → | 2004 | 1003 |
| 20 | STITCH: interaction networks of chemicals and proteins Hit paper breakdown → | 2007 | 772 |
About Lars Juhl Jensen
Lars Juhl Jensen is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Artificial Intelligence and Genetics, having authored 246 papers that have together received 79.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (76 papers), Biomedical Text Mining and Ontologies (50 papers), Genomics and Phylogenetic Studies (39 papers), Advanced Proteomics Techniques and Applications (28 papers), RNA and protein synthesis mechanisms (27 papers), Gene expression and cancer classification (24 papers), Computational Drug Discovery Methods (23 papers) and Machine Learning in Bioinformatics (18 papers). The work is most often cited by research in Molecular Biology (44.9k citations), Cancer Research (6.3k citations), Computational Theory and Mathematics (6.9k citations), Immunology (5.0k citations) and Pharmacology (2.1k citations). Lars Juhl Jensen has collaborated with scholars based in Denmark, Germany and United States. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, PLoS Computational Biology, Nature Communications and Journal of Proteome Research.
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.