Torsten Seemann

35.0k total citations · 4 hit papers
172 papers, 20.4k citations indexed

About

Torsten Seemann is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Torsten Seemann has authored 172 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Infectious Diseases, 67 papers in Molecular Biology and 38 papers in Epidemiology. Recurrent topics in Torsten Seemann's work include Antimicrobial Resistance in Staphylococcus (44 papers), Genomics and Phylogenetic Studies (34 papers) and Bacterial Identification and Susceptibility Testing (28 papers). Torsten Seemann is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (44 papers), Genomics and Phylogenetic Studies (34 papers) and Bacterial Identification and Susceptibility Testing (28 papers). Torsten Seemann collaborates with scholars based in Australia, United States and United Kingdom. Torsten Seemann's co-authors include Timothy P. Stinear, Benjamin P. Howden, Paul F. Harrison, Ben Adler, Andrew J. Page, Jacqueline A. Keane, Ben Taylor, Aidan Delaney, Simon R. Harris and Jorge Soares and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Torsten Seemann

169 papers receiving 20.2k citations

Hit Papers

align trajectories

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.

Prokka: rapid prokaryotic genome annotation

2014 12.1k citations Torsten Seemann Bioinformatics profile →
SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments

2016 808 citations Andrew J. Page, Ben Taylor et al. Microbial Genomics profile →
Colistin Resistance in Acinetobacter baumannii Is Mediated by Complete Loss of Lipopolysaccharide Production

2010 628 citations Jennifer H. Moffatt, Marina Harper et al. Antimicrobial Agents and Chemotherapy profile →
Genomic surveillance for antimicrobial resistance — a One Health perspective

2023 125 citations Torsten Seemann, Benjamin P. Howden et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torsten Seemann Australia	48	8.8k	4.9k	4.5k	3.9k	3.0k	172	20.4k
Matthew T. G. Holden United Kingdom	56	7.1k 0.8×	5.3k 1.1×	2.3k 0.5×	2.3k 0.6×	2.0k 0.7×	203	15.1k
Edward J. Feil United Kingdom	61	7.6k 0.9×	6.4k 1.3×	2.5k 0.5×	2.2k 0.6×	2.3k 0.8×	175	19.9k
Dmitry Antipov Russia	16	12.2k 1.4×	2.8k 0.6×	6.9k 1.5×	3.1k 0.8×	3.0k 1.0×	29	23.5k
Andrey D. Prjibelski Russia	15	11.7k 1.3×	2.6k 0.5×	6.4k 1.4×	2.9k 0.7×	2.8k 0.9×	25	22.5k
Simon R. Harris United Kingdom	58	6.2k 0.7×	4.6k 0.9×	2.1k 0.5×	2.6k 0.7×	2.4k 0.8×	152	15.7k
Nikolay Vyahhi Russia	6	13.0k 1.5×	2.8k 0.6×	7.0k 1.5×	3.2k 0.8×	3.2k 1.1×	7	24.8k
Kathryn E. Holt Australia	69	9.5k 1.1×	3.5k 0.7×	4.9k 1.1×	9.2k 2.4×	6.2k 2.1×	224	23.6k
Alexander Sirotkin Russia	8	10.0k 1.1×	2.3k 0.5×	5.5k 1.2×	2.5k 0.6×	2.5k 0.8×	22	19.1k
Anton Bankevich Russia	8	10.2k 1.2×	2.3k 0.5×	5.6k 1.2×	2.5k 0.6×	2.5k 0.8×	13	19.3k
Max A. Alekseyev United States	14	10.6k 1.2×	2.3k 0.5×	5.7k 1.2×	2.6k 0.7×	2.5k 0.8×	35	19.9k

Countries citing papers authored by Torsten Seemann

Since Specialization

Citations

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

Fields of papers citing papers by Torsten Seemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Seemann

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

All Works

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20 of 20 papers shown

Sharkey, Liam K. R., Romain Guérillot, Calum J. Walsh, et al.. (2023). The two-component system WalKR provides an essential link between cell wall homeostasis and DNA replication in Staphylococcus aureus. mBio. 14(6). e0226223–e0226223. 15 indexed citations

Lau, Katherine A., Tuyet Hoang, Charles S. P. Foster, et al.. (2023). Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance. Microbial Genomics. 9(11).

Giulieri, Stefano, Romain Guérillot, Sebastián Duchêne, et al.. (2022). Niche-specific genome degradation and convergent evolution shaping Staphylococcus aureus adaptation during severe infections. eLife. 11. 29 indexed citations

Higgs, Charlie, Norelle L. Sherry, Torsten Seemann, et al.. (2022). Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings. Nature Communications. 13(1). 509–509. 34 indexed citations

Lane, Courtney R., Torsten Seemann, Leon J. Worth, et al.. (2020). Incursions of Candida auris into Australia, 2018. Emerging infectious diseases. 26(6). 1326–1328. 14 indexed citations

Georgeson, Peter, Anna Syme, Clare Sloggett, et al.. (2019). Bionitio: demonstrating and facilitating best practices for bioinformatics command-line software. GigaScience. 8(9). 10 indexed citations

Page, Andrew J. & Torsten Seemann. (2019). TipToft: detecting plasmids contained in uncorrected long read sequencing data. The Journal of Open Source Software. 4(35). 1021–1021. 1 indexed citations

Pidot, Sacha J., Liam K. R. Sharkey, Jessica L. Porter, et al.. (2019). Biosynthesis and Ether‐Bridge Formation in Nargenicin Macrolides. Angewandte Chemie. 131(12). 4036–4041. 5 indexed citations

Caly, Leon, Sarah L. McGuinness, Glen P. Carter, et al.. (2018). The First Isolation and Whole Genome Sequencing of Murray Valley Encephalitis Virus from Cerebrospinal Fluid of a Patient with Encephalitis. Viruses. 10(6). 319–319. 9 indexed citations

10.

Ford, Laura, Glen P. Carter, Qinning Wang, et al.. (2018). Incorporating Whole-Genome Sequencing into Public Health Surveillance: Lessons from Prospective Sequencing of Salmonella Typhimurium in Australia. Foodborne Pathogens and Disease. 15(3). 161–167. 20 indexed citations

11.

Buultjens, Andrew H., Kyra Chua, Sarah L. Baines, et al.. (2017). A Supervised Statistical Learning Approach for Accurate Legionella pneumophila Source Attribution during Outbreaks. Applied and Environmental Microbiology. 83(21). 10 indexed citations

12.

Kwong, Jason C., Mary Valcanis, Marion Easton, et al.. (2017). Emergence of multidrug resistance in locally-acquired human infections with Salmonella Typhimurium in Australia owing to a new clade harbouring bla CTX-M-9. International Journal of Antimicrobial Agents. 50(1). 101–105. 20 indexed citations

13.

Buultjens, Andrew H., Stefano Giulieri, Samuel Yaw Aboagye, et al.. (2017). Genomic analysis of ST88 community-acquired methicillin resistant Staphylococcus aureus in Ghana. PeerJ. 5. e3047–e3047. 26 indexed citations

14.

Buultjens, Andrew H., Margaret M. C. Lam, Susan A. Ballard, et al.. (2017). Evolutionary origins of the emergent ST796 clone of vancomycin resistant Enterococcus faecium. PeerJ. 5. e2916–e2916. 34 indexed citations

15.

Page, Andrew J., Ben Taylor, Aidan Delaney, et al.. (2016). SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microbial Genomics. 2(4). e000056–e000056. 808 indexed citations breakdown →

16.

Kwong, Jason C., Anders Gonçalves da Silva, Kristin Dyet, et al.. (2016). NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae. Microbial Genomics. 2(8). e000076–e000076. 29 indexed citations

17.

Raina, Jean‐Baptiste, Dianne M. Tapiolas, Cherie A. Motti, et al.. (2016). Isolation of an antimicrobial compound produced by bacteria associated with reef-building corals. PeerJ. 4. e2275–e2275. 111 indexed citations

18.

Seemann, Torsten. (2014). Prokka: rapid prokaryotic genome annotation. Bioinformatics. 30(14). 2068–2069. 12050 indexed citations breakdown →

19.

Chua, Kyra, Torsten Seemann, Paul F. Harrison, et al.. (2011). The Dominant Australian Community-Acquired Methicillin-Resistant Staphylococcus aureus Clone ST93-IV [2B] Is Highly Virulent and Genetically Distinct. PLoS ONE. 6(10). e25887–e25887. 73 indexed citations

20.

Moffatt, Jennifer H., Marina Harper, Paul F. Harrison, et al.. (2010). Colistin Resistance in Acinetobacter baumannii Is Mediated by Complete Loss of Lipopolysaccharide Production. Antimicrobial Agents and Chemotherapy. 54(12). 4971–4977. 628 indexed citations breakdown →

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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