Sven Leininger

6.1k total citations · 3 hit papers
17 papers, 4.8k citations indexed

About

Sven Leininger is a scholar working on Molecular Biology, Biotechnology and Ecology. According to data from OpenAlex, Sven Leininger has authored 17 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Biotechnology and 5 papers in Ecology. Recurrent topics in Sven Leininger's work include Marine Sponges and Natural Products (7 papers), Marine Ecology and Invasive Species (5 papers) and Microbial Community Ecology and Physiology (4 papers). Sven Leininger is often cited by papers focused on Marine Sponges and Natural Products (7 papers), Marine Ecology and Invasive Species (5 papers) and Microbial Community Ecology and Physiology (4 papers). Sven Leininger collaborates with scholars based in Norway, Germany and United Kingdom. Sven Leininger's co-authors include Christa Schleper, Graeme W. Nicol, James I. Prosser, Stephan C. Schuster, Tim Urich, Ji Qi, Lorenz Schwark, Michael Schloter, Alexander H. Treusch and Arnulf Kletzin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sven Leininger

17 papers receiving 4.7k citations

Hit Papers

Archaea predominate among ammonia-oxidizing prokaryotes i... 2005 2026 2012 2019 2006 2008 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Leininger Norway 16 2.9k 2.0k 1.4k 1.1k 861 17 4.8k
Svetlana N. Dedysh Russia 51 4.6k 1.6× 1.2k 0.6× 4.0k 2.9× 596 0.5× 2.6k 3.0× 177 8.2k
Peter F. Dunfield Canada 46 3.5k 1.2× 1.2k 0.6× 3.5k 2.5× 749 0.7× 2.9k 3.3× 104 7.3k
J. Michael Beman United States 24 4.1k 1.4× 2.2k 1.1× 1.4k 1.0× 723 0.6× 1.2k 1.4× 32 5.8k
Marc G. Dumont United Kingdom 34 2.4k 0.8× 947 0.5× 1.7k 1.2× 489 0.4× 1.2k 1.4× 66 4.0k
Marja Tiirola Finland 38 2.2k 0.7× 836 0.4× 955 0.7× 320 0.3× 746 0.9× 115 4.1k
Alyson E. Santoro United States 35 4.7k 1.6× 2.2k 1.1× 1.8k 1.3× 492 0.4× 1.4k 1.7× 79 6.4k
Michael Pester Germany 29 2.4k 0.8× 1.1k 0.6× 1.3k 0.9× 287 0.3× 1.3k 1.5× 50 4.0k
Pierre Offre Netherlands 20 1.6k 0.5× 742 0.4× 1.0k 0.7× 486 0.4× 531 0.6× 24 2.7k
Michel Aragno Switzerland 35 1.3k 0.4× 696 0.3× 1.1k 0.7× 812 0.7× 393 0.5× 89 4.3k
Andrew Bissett Australia 41 3.0k 1.0× 542 0.3× 1.5k 1.0× 1.4k 1.2× 655 0.8× 132 5.6k

Countries citing papers authored by Sven Leininger

Since Specialization
Citations

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

Fields of papers citing papers by Sven Leininger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Leininger

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

All Works

17 of 17 papers shown
1.
Mendoza, Alex de, William L. Hatleberg, Kevin Pang, et al.. (2019). Convergent evolution of a vertebrate-like methylome in a marine sponge. Nature Ecology & Evolution. 3(10). 1464–1473. 47 indexed citations
2.
Wargelius, Anna, Sven Leininger, Kai Ove Skaftnesmo, et al.. (2016). Dnd knockout ablates germ cells and demonstrates germ cell independent sex differentiation in Atlantic salmon. Scientific Reports. 6(1). 21284–21284. 180 indexed citations
3.
Starflinger, Jörg, et al.. (2015). Recent numerical simulations and experiments on coolability of debris beds during severe accidents of light water reactors. Nuclear Engineering and Design. 294. 153–160. 6 indexed citations
4.
Leininger, Sven, Marcin Adamski, Brith Bergum, et al.. (2014). Developmental gene expression provides clues to relationships between sponge and eumetazoan body plans. Nature Communications. 5(1). 3905–3905. 99 indexed citations
5.
Fortunato, Sofia, Sven Leininger, & Maja Adamska. (2014). Evolution of the Pax-Six-Eya-Dach network: the calcisponge case study. EvoDevo. 5(1). 23–23. 24 indexed citations
6.
Leininger, Sven, et al.. (2014). Experimental investigation on reflooding of debris beds. Annals of Nuclear Energy. 74. 42–49. 20 indexed citations
7.
Fortunato, Sofia, Marcin Adamski, O. Ramos, et al.. (2014). Calcisponges have a ParaHox gene and dynamic expression of dispersed NK homeobox genes. Nature. 514(7524). 620–623. 69 indexed citations
8.
Chikhi, Nourdine, Olivia Coindreau, Liangxing Li, et al.. (2014). Evaluation of an effective diameter to study quenching and dry-out of complex debris bed. Annals of Nuclear Energy. 74. 24–41. 34 indexed citations
9.
Sebé-Pedrós, Arnau, Matthew T. Weirauch, Sven Leininger, et al.. (2013). Early evolution of the T-box transcription factor family. Proceedings of the National Academy of Sciences. 110(40). 16050–16055. 60 indexed citations
10.
Fortunato, Sofia, Marcin Adamski, Brith Bergum, et al.. (2012). Genome-wide analysis of the sox family in the calcareous sponge Sycon ciliatum: multiple genes with unique expression patterns. EvoDevo. 3(1). 14–14. 51 indexed citations
11.
Hoffmann, Friederike, et al.. (2011). Ammonia‐oxidizing archaea as main drivers of nitrification in cold‐water sponges. Environmental Microbiology. 14(4). 909–923. 100 indexed citations
12.
Schauss, Kristina, Andreas Focks, Sven Leininger, et al.. (2009). Dynamics and functional relevance of ammonia‐oxidizing archaea in two agricultural soils. Environmental Microbiology. 11(2). 446–456. 261 indexed citations
13.
Nicol, Graeme W., Sven Leininger, Christa Schleper, & James I. Prosser. (2008). The influence of soil pH on the diversity, abundance and transcriptional activity of ammonia oxidizing archaea and bacteria. Environmental Microbiology. 10(11). 2966–2978. 1080 indexed citations breakdown →
14.
Thiel, Vera, Sven Leininger, Rolf Schmaljohann, Franz Brümmer, & Johannes F. Imhoff. (2007). Sponge-specific Bacterial Associations of the Mediterranean Sponge Chondrilla nucula (Demospongiae, Tetractinomorpha). Microbial Ecology. 54(1). 101–111. 74 indexed citations
15.
Leininger, Sven, Tim Urich, Michael Schloter, et al.. (2006). Archaea predominate among ammonia-oxidizing prokaryotes in soils. Nature. 442(7104). 806–809. 1946 indexed citations breakdown →
16.
Treusch, Alexander H., Sven Leininger, Arnulf Kletzin, et al.. (2005). Novel genes for nitrite reductase and Amo‐related proteins indicate a role of uncultivated mesophilic crenarchaeota in nitrogen cycling. Environmental Microbiology. 7(12). 1985–1995. 689 indexed citations breakdown →
17.
Nickel, Michael, et al.. (2001). Comparative studies on two potential methods for the biotechnological production of sponge biomass. Journal of Biotechnology. 92(2). 169–178. 30 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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