Papers

7

Total Citations

523

H-Index

7

About

Joakim Lundeberg is a Swedish genomics researcher whose career spans three decades of innovation in DNA sequencing, molecular biology, and spatial transcriptomics. His work has consistently pushed the boundaries of what is technically achievable in high-throughput genomic analysis, with a particular focus on automation, library preparation, and single-cell and tissue-level sequencing technologies. Lundeberg made early contributions to forensic genomics, developing methods for sequencing domestic dog mitochondrial DNA from single hairs (1997, 62 citations), and pioneered sequence-based p53 tumor analysis using microdissected biopsy samples (1994, 42 citations). His landmark 2001 study identifying persistent p53 mutations in normal human skin cells (100 citations) offered striking insights into somatic mutation dynamics in healthy tissue. His most cited work (2011, 179 citations) addressed a critical bottleneck in next-generation sequencing by developing large-scale, automated library preparation pipelines. This innovation dramatically improved throughput and reproducibility across sequencing workflows. Building on this foundation, Lundeberg contributed to spatially barcoded RNA-sequencing library automation (2016, 75 citations), a methodology central to the now-thriving field of spatial transcriptomics. Together, these contributions have profoundly shaped modern genomic infrastructure and tissue biology research.

Research Focus

Key Achievements

7
H-Index
7
Papers
523
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Large Scale Library Generation for High Throughput Sequencing
179 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: KTH Royal Institute of Technology, Science for Life Laboratory, AlbaNova

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago