Ole Lund

57.8k total citations · 18 hit papers
324 papers, 36.2k citations indexed

About

Ole Lund is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ole Lund has authored 324 papers receiving a total of 36.2k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Molecular Biology, 77 papers in Immunology and 61 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ole Lund's work include vaccines and immunoinformatics approaches (73 papers), Immunotherapy and Immune Responses (44 papers) and Cardiac Valve Diseases and Treatments (40 papers). Ole Lund is often cited by papers focused on vaccines and immunoinformatics approaches (73 papers), Immunotherapy and Immune Responses (44 papers) and Cardiac Valve Diseases and Treatments (40 papers). Ole Lund collaborates with scholars based in Denmark, United States and Sweden. Ole Lund's co-authors include Morten Nielsen, Frank M. Aarestrup, Henrik Hasman, Claus Lundegaard, Ea Zankari, Mette Voldby Larsen, Søren Buus, Salvatore Cosentino, Simon Rasmussen and Mikkel V. Larsen and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Ole Lund

322 papers receiving 35.6k citations

Hit Papers

Identification of acquired antimicrobial resistance ... 2003 2026 2010 2018 2012 2014 2012 2014 2006 1000 2.0k 3.0k
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of acquired antimicrobial resistance genes
    2012 3.8k citations Henrik Hasman, Ole Lund et al. Journal of Antimicrobial Chemotherapy profile →
  2. In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing
    2014 3.3k citations Mette Voldby Larsen, Ole Lund et al. profile →
  3. Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria
    2012 1.7k citations Mette Voldby Larsen, Henrik Hasman et al. Journal of Clinical Microbiology profile →
  4. Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli
    2014 1.0k citations Katrine Joensen, Ole Lund et al. Journal of Clinical Microbiology profile →
  5. Improved method for predicting linear B-cell epitopes.
    2006 981 citations Ole Lund, Morten Nielsen et al. profile →
  6. Reliable prediction of T‐cell epitopes using neural networks with novel sequence representations
    2003 832 citations Morten Nielsen, Claus Lundegaard et al. Protein Science profile →
  7. Computational Immunology Meets Bioinformatics: The Use of Prediction Tools for Molecular Binding in the Simulation of the Immune System
    2010 731 citations Ole Lund et al. PLoS ONE profile →
  8. Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction
    2007 721 citations Mette Voldby Larsen, Claus Lundegaard et al. profile →
  9. Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms
    2014 680 citations Pimlapas Leekitcharoenphon, Frank M. Aarestrup et al. PLoS ONE profile →
  10. NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11
    2008 591 citations Claus Lundegaard, Søren Buus et al. profile →
  11. PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens
    2017 555 citations Katrine Joensen, Ole Lund et al. Journal of Antimicrobial Chemotherapy profile →
  12. NetMHCpan, a method for MHC class I binding prediction beyond humans
    2008 546 citations Ole Lund, Søren Buus et al. Immunogenetics profile →
  13. Rapid and precise alignment of raw reads against redundant databases with KMA
    2018 541 citations Frank M. Aarestrup, Ole Lund et al. profile →
  14. Peptide binding predictions for HLA DR, DP and DQ molecules
    2010 526 citations Ole Lund, Morten Nielsen et al. profile →
  15. Reliable B Cell Epitope Predictions: Impacts of Method Development and Improved Benchmarking
    2012 502 citations Claus Lundegaard, Ole Lund et al. profile →
  16. Insights from 20 years of bacterial genome sequencing
    2015 458 citations Ole Lund et al. profile →
  17. PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data
    2013 440 citations Mette Voldby Larsen, Frank M. Aarestrup et al. PLoS ONE profile →
  18. In Silico Genotyping of Escherichia coli Isolates for Extraintestinal Virulence Genes by Use of Whole-Genome Sequencing Data
    2020 265 citations Ole Lund et al. Journal of Clinical Microbiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ole Lund Denmark 83 18.3k 8.0k 7.8k 5.8k 5.4k 324 36.2k
Stanley Falkow United States 133 24.9k 1.4× 7.7k 1.0× 5.2k 0.7× 10.0k 1.7× 17.9k 3.3× 417 62.1k
Gordon Dougan United Kingdom 107 13.6k 0.7× 7.9k 1.0× 4.4k 0.6× 14.7k 2.5× 14.3k 2.7× 612 43.5k
Rino Rappuoli Italy 116 14.3k 0.8× 17.3k 2.2× 1.3k 0.2× 10.4k 1.8× 4.6k 0.8× 715 48.9k
Staffan Normark Sweden 86 10.9k 0.6× 4.2k 0.5× 3.5k 0.4× 2.4k 0.4× 5.9k 1.1× 279 25.0k
Philippe Sansonetti France 113 13.6k 0.7× 10.8k 1.3× 2.3k 0.3× 11.2k 1.9× 16.0k 3.0× 446 42.0k
John J. Mekalanos United States 111 14.6k 0.8× 10.1k 1.3× 6.5k 0.8× 4.3k 0.7× 24.8k 4.6× 308 39.9k
Gary K. Schoolnik United States 74 8.0k 0.4× 3.8k 0.5× 2.2k 0.3× 10.9k 1.9× 5.9k 1.1× 187 22.7k
Olaf Schneewind United States 92 18.6k 1.0× 3.8k 0.5× 1.1k 0.1× 10.3k 1.8× 2.2k 0.4× 275 29.4k
Matthew K. Waldor United States 80 8.0k 0.4× 4.0k 0.5× 3.6k 0.5× 2.8k 0.5× 9.6k 1.8× 284 20.7k
Julian Parkhill United Kingdom 116 24.8k 1.4× 3.1k 0.4× 7.4k 0.9× 16.1k 2.8× 8.7k 1.6× 566 56.2k

Countries citing papers authored by Ole Lund

Since Specialization
Citations

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

Fields of papers citing papers by Ole Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Lund

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

All Works

20 of 20 papers shown
1.
Russel, Jakob, Charisse Petersen, Gisle Vestergaard, et al.. (2024). MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies. Nature Communications. 15(1). 5734–5734. 2 indexed citations
2.
Lund, Ole, et al.. (2023). Chenopodium quinoa, a New Host forAlternariaSectionAlternataandAlternariaSectionInfectoriaeCausing Yellow Leaf Blotch Disease. Plant Disease. 107(9). 2628–2632. 4 indexed citations
3.
Lund, Ole, Daniel Buchvaldt Amby, Hans‐Peter Piepho, et al.. (2021). Genetic variation for tolerance to the downy mildew pathogen Peronospora variabilis in genetic resources of quinoa (Chenopodium quinoa). BMC Plant Biology. 21(1). 41–41. 28 indexed citations
4.
Dresbøll, Dorte Bodin, et al.. (2019). Root distribution in intercropping systems – a comparison of DNA based methods and visual distinction of roots. Archives of Agronomy and Soil Science. 67(1). 15–28. 14 indexed citations
5.
Kumburu, Happiness, Tolbert Sonda, Marco van Zwetselaar, et al.. (2019). Using WGS to identify antibiotic resistance genes and predict antimicrobial resistance phenotypes in MDR Acinetobacter baumannii in Tanzania. Journal of Antimicrobial Chemotherapy. 74(6). 1484–1493. 51 indexed citations
6.
Zschach, Henrike, Katrine Joensen, Ole Lund, et al.. (2015). What Can We Learn from a Metagenomic Analysis of a Georgian Bacteriophage Cocktail?. Viruses. 7(12). 6570–6589. 36 indexed citations
7.
Deleuran, Lise Christina, et al.. (2014). Fungal endophytes of sorghum in Burkina Faso: Occurrence and distribution. African Journal of Microbiology Research. 8(46). 3782–3793. 8 indexed citations
8.
Schiller, Michaela, et al.. (2013). FIRST REPORT OF ELSINOE LEAF AND FRUIT SPOT AND ELSINOE PYRI ON APPLE IN DENMARK. Journal of Plant Pathology. 95. 4–76. 5 indexed citations
9.
Hasman, Henrik, Dhany Saputra, Thomas Sicheritz‐Pontén, et al.. (2013). Rapid Whole-Genome Sequencing for Detection and Characterization of Microorganisms Directly from Clinical Samples. Journal of Clinical Microbiology. 52(1). 139–146. 381 indexed citations
10.
Buggert, Marcus, Emmanuel Tupin, Ma Luo, et al.. (2012). Characterization of HIV-Specific CD4+ T Cell Responses against Peptides Selected with Broad Population and Pathogen Coverage. PLoS ONE. 7(7). e39874–e39874. 20 indexed citations
11.
Milush, Jeffrey M., Marcus Buggert, Emily M. Eriksson, et al.. (2012). Targeting of Conserved Gag-Epitopes in Early HIV Infection Is Associated with Lower Plasma Viral Load and Slower CD4 + T Cell Depletion. AIDS Research and Human Retroviruses. 29(3). 602–612. 7 indexed citations
12.
Karosiene, Edita, Claus Lundegaard, Ole Lund, & Morten Nielsen. (2011). NetMHCcons: a consensus method for the major histocompatibility complex class I predictions. Immunogenetics. 64(3). 177–186. 270 indexed citations
13.
Tang, Sheila Tuyet, Krista E. van Meijgaarden, Nadia Caccamo, et al.. (2010). Genome-Based In Silico Identification of New Mycobacterium tuberculosis Antigens Activating Polyfunctional CD8+ T Cells in Human Tuberculosis. The Journal of Immunology. 186(2). 1068–1080. 42 indexed citations
14.
Lundegaard, Claus, Ole Lund, & Morten Nielsen. (2010). Prediction of epitopes using neural network based methods. Journal of Immunological Methods. 374(1-2). 26–34. 89 indexed citations
15.
Andersen, Pernille, Morten Nielsen, & Ole Lund. (2006). Prediction of residues in discontinuous B‐cell epitopes using protein 3D structures. Protein Science. 15(11). 2558–2567. 481 indexed citations
16.
Hjulsager, Charlotte Kristiane, et al.. (2006). Multiple determinants in the coding region of Pea seed-borne mosaic virus P3 are involved in virulence against sbm-2 resistance. Virology. 355(1). 52–61. 40 indexed citations
17.
Lund, Ole, Morten Nielsen, Claus Lundegaard, Can Keşmir, & Søren Brunak. (2005). Immunological Bioinformatics (Computational Molecular Biology). The MIT Press eBooks. 22 indexed citations
18.
Olofsson, Sigvard, Kristian Schønning, Ole Lund, et al.. (1999). The N‐linked glycan of the V3 region of HIV‐1 gp120 and CXCR4‐dependent multiplication of a human immunodeficiency virus type 1 lymphocyte‐tropic variant. FEBS Letters. 454(1-2). 47–52. 20 indexed citations
19.
Nielsen, Susanne Dam, Anne Marie Sørensen, Kristian Schønning, et al.. (1997). Complement-Mediated Enhancement of HIV-1 Infection in Peripheral Blood Mononuclear Cells. Scandinavian Journal of Infectious Diseases. 29(5). 447–452. 11 indexed citations
20.
Hansen, Jan Erik, et al.. (1996). Prediction of the secondary structure of HIV-1 gp120. Proteins Structure Function and Bioinformatics. 25(1). 1–11. 32 indexed citations

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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