Petter Lindgren

1.1k total citations
19 papers, 809 citations indexed

About

Petter Lindgren is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Petter Lindgren has authored 19 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Genetics. Recurrent topics in Petter Lindgren's work include Bacteriophages and microbial interactions (5 papers), Bacillus and Francisella bacterial research (5 papers) and Diabetes and associated disorders (3 papers). Petter Lindgren is often cited by papers focused on Bacteriophages and microbial interactions (5 papers), Bacillus and Francisella bacterial research (5 papers) and Diabetes and associated disorders (3 papers). Petter Lindgren collaborates with scholars based in Sweden, Netherlands and Germany. Petter Lindgren's co-authors include Dan Holmberg, Åsa Larefalk, Göran Roos, Katarina Nordfjäll, Mats Forsman, Andreas Sjödin, Anders Berglund, Daniel Johansson, Mark Joyce and Anders Johansson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Petter Lindgren

19 papers receiving 780 citations

Author Peers

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

Author Last Decade Papers Cites
Petter Lindgren 369 219 146 118 104 19 809
Larry Croft 761 2.1× 198 0.9× 133 0.9× 20 0.2× 115 1.1× 48 1.3k
Linda Lefièvre 452 1.2× 263 1.2× 92 0.6× 24 0.2× 51 0.5× 30 1.6k
Peter J. van der Most 183 0.5× 237 1.1× 74 0.5× 14 0.1× 53 0.5× 25 986
Tingting Huang 521 1.4× 64 0.3× 134 0.9× 24 0.2× 36 0.3× 81 1.1k
Aaron Isaacs 505 1.4× 936 4.3× 155 1.1× 21 0.2× 61 0.6× 16 1.8k
Charles T. Ambrose 227 0.6× 59 0.3× 93 0.6× 25 0.2× 31 0.3× 54 736
Darío Krapf 514 1.4× 256 1.2× 52 0.4× 27 0.2× 13 0.1× 60 2.2k
Nicola Wrobel 579 1.6× 151 0.7× 48 0.3× 16 0.1× 9 0.1× 16 1.1k
Carol S. Williams 219 0.6× 166 0.8× 88 0.6× 22 0.2× 80 0.8× 53 1000

Countries citing papers authored by Petter Lindgren

Since Specialization
Citations

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

Fields of papers citing papers by Petter Lindgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petter Lindgren

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

All Works

19 of 19 papers shown
1.
Larsson, Pär, Jon Ahlinder, Petter Lindgren, et al.. (2019). Biological amplification of low frequency mutations unravels laboratory culture history of the bio-threat agent Francisella tularensis. Forensic Science International Genetics. 45. 102230–102230. 3 indexed citations
2.
Lindgren, Petter, Kerstin Myrtennäs, Mats Forsman, et al.. (2019). A likelihood ratio-based approach for improved source attribution in microbiological forensic investigations. Forensic Science International. 302. 109869–109869. 2 indexed citations
3.
Bäckman, Stina, Anna Macellaro, Petter Lindgren, et al.. (2018). Accounting for Bacterial Overlap Between Raw Water Communities and Contaminating Sources Improves the Accuracy of Signature-Based Microbial Source Tracking. Frontiers in Microbiology. 9. 2364–2364. 16 indexed citations
4.
Thelaus, Johanna, et al.. (2018). Galleria mellonella Reveals Niche Differences Between Highly Pathogenic and Closely Related Strains of Francisella spp.. Frontiers in Cellular and Infection Microbiology. 8. 188–188. 14 indexed citations
5.
Lindgren, Petter, et al.. (2018). Hazmat risk area assessment by atmospheric dispersion modelling using Latin hypercube sampling with weather ensemble. Meteorological Applications. 25(4). 575–585. 5 indexed citations
6.
Holmberg, Dan, et al.. (2016). Association of CD247 (CD3ζ) gene polymorphisms with T1D and AITD in the population of northern Sweden. BMC Medical Genetics. 17(1). 70–70. 7 indexed citations
7.
Karlsson, Edvin, Anna Macellaro, Mona Byström, et al.. (2014). Eight New Genomes and Synthetic Controls Increase the Accessibility of Rapid Melt-MAMA SNP Typing of Coxiella burnetii. PLoS ONE. 9(1). e85417–e85417. 15 indexed citations
8.
Ahlinder, Jon, Caroline Öhrman, Kerstin Svensson, et al.. (2012). Increased knowledge of Francisella genus diversity highlights the benefits of optimised DNA-based assays. BMC Microbiology. 12(1). 220–220. 13 indexed citations
9.
Sjödin, Andreas, Kerstin Svensson, Caroline Öhrman, et al.. (2012). Genome characterisation of the genus Francisella reveals insight into similar evolutionary paths in pathogens of mammals and fish. BMC Genomics. 13(1). 268–268. 111 indexed citations
10.
Karlsson, Edvin, Kerstin Svensson, Petter Lindgren, et al.. (2012). The phylogeographic pattern of F rancisella tularensis in S weden indicates a S candinavian origin of E urosiberian tularaemia. Environmental Microbiology. 15(2). 634–645. 49 indexed citations
12.
Mayans, Sofia, Kurt Lackovic, Petter Lindgren, et al.. (2007). CT60 genotype does not affect CTLA-4 isoform expression despite association to T1D and AITD in northern Sweden. BMC Medical Genetics. 8(1). 3–3. 47 indexed citations
13.
Mayans, Sofia, Kurt Lackovic, Petter Lindgren, et al.. (2007). TCF7L2 polymorphisms are associated with type 2 diabetes in northern Sweden. European Journal of Human Genetics. 15(3). 342–346. 67 indexed citations
14.
Einarsdóttir, Elísabet, Sofia Mayans, Stefan Andersson Escher, et al.. (2006). Linkage but Not Association of Calpain-10 to Type 2 Diabetes Replicated in Northern Sweden. Diabetes. 55(6). 1879–1883. 10 indexed citations
15.
Nilsson-Ardnor, Sofie, Per-Gunnar Wiklund, Kurt Lackovic, et al.. (2006). Genome-Wide Linkage Scan of Common Stroke in Families From Northern Sweden. Stroke. 38(1). 34–40. 20 indexed citations
16.
Malmer, Beatrice, et al.. (2005). Homozygosity mapping of familial glioma in Northern Sweden. Acta Oncologica. 44(2). 114–119. 11 indexed citations
17.
Nilsson-Ardnor, Sofie, Per-Gunnar Wiklund, Petter Lindgren, et al.. (2005). Linkage of Ischemic Stroke to the PDE4D Region on 5q in a Swedish Population. Stroke. 36(8). 1666–1671. 50 indexed citations
18.
Nordfjäll, Katarina, Åsa Larefalk, Petter Lindgren, Dan Holmberg, & Göran Roos. (2005). Telomere length and heredity: Indications of paternal inheritance. Proceedings of the National Academy of Sciences. 102(45). 16374–16378. 161 indexed citations
19.
Johansson, Daniel, Petter Lindgren, & Anders Berglund. (2003). A multivariate approach applied to microarray data foridentification of genes with cell cycle-coupled transcription. Bioinformatics. 19(4). 467–473. 71 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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