Silke Laakmann

1.5k total citations
39 papers, 1.0k citations indexed

About

Silke Laakmann is a scholar working on Ecology, Molecular Biology and Oceanography. According to data from OpenAlex, Silke Laakmann has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 20 papers in Molecular Biology and 16 papers in Oceanography. Recurrent topics in Silke Laakmann's work include Identification and Quantification in Food (19 papers), Marine Biology and Ecology Research (15 papers) and Environmental DNA in Biodiversity Studies (13 papers). Silke Laakmann is often cited by papers focused on Identification and Quantification in Food (19 papers), Marine Biology and Ecology Research (15 papers) and Environmental DNA in Biodiversity Studies (13 papers). Silke Laakmann collaborates with scholars based in Germany, Russia and Sweden. Silke Laakmann's co-authors include Thomas Knebelsberger, Michael J. Raupach, Hermann Neumann, Holger Auel, Pedro Martínez Arbizu, Sabine Holst, Andrea Barco, Astrid Cornils, Marc Kochzius and Jasmin Renz and has published in prestigious journals such as PLoS ONE, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Silke Laakmann

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silke Laakmann Germany 19 679 469 359 293 129 39 1.0k
Leocadio Blanco‐Bercial United States 17 860 1.3× 576 1.2× 545 1.5× 318 1.1× 165 1.3× 51 1.3k
Robert M. Jennings United States 18 600 0.9× 228 0.5× 579 1.6× 282 1.0× 96 0.7× 29 887
Andrea Barco Italy 12 330 0.5× 142 0.3× 288 0.8× 203 0.7× 52 0.4× 21 551
Damhnait McHugh United States 18 711 1.0× 257 0.5× 843 2.3× 372 1.3× 140 1.1× 28 1.3k
Grace A. Wyngaard United States 18 395 0.6× 348 0.7× 265 0.7× 112 0.4× 154 1.2× 50 827
Maria Corsini-Foka Greece 18 667 1.0× 343 0.7× 242 0.7× 949 3.2× 70 0.5× 83 1.2k
Rocío Pérez‐Portela Spain 19 415 0.6× 215 0.5× 356 1.0× 475 1.6× 203 1.6× 51 844
Claudio A. González‐Wevar Chile 17 504 0.7× 110 0.2× 554 1.5× 197 0.7× 185 1.4× 53 857
Alexander L. Vereshchaka Russia 18 779 1.1× 294 0.6× 554 1.5× 246 0.8× 30 0.2× 71 1.1k
T. L. Shearer United States 13 1.1k 1.7× 291 0.6× 510 1.4× 562 1.9× 175 1.4× 13 1.3k

Countries citing papers authored by Silke Laakmann

Since Specialization
Citations

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

Fields of papers citing papers by Silke Laakmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Laakmann

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Laakmann. A scholar is included among the top collaborators of Silke Laakmann 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 Silke Laakmann. Silke Laakmann 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.
Rubinetti, Sara, Bernadette Pogoda, Alexey Androsov, et al.. (2025). Connectivity and larval drift across marine protected areas in the German bight, North Sea: Necessity of stepping stones. Journal of Sea Research. 204. 102563–102563. 1 indexed citations
2.
Franke, Andrea, Benjamin S. Halpern, Bernadette Snow, et al.. (2025). From science to policy: evolving marine biodiversity targets. Frontiers in Ecology and the Environment. 23(8). 2 indexed citations
3.
Emami‐Khoyi, Arsalan, et al.. (2025). Eukaryote biodiversity in supratidal microbialite pools: A foundational environmental DNA assessment. Estuarine Coastal and Shelf Science. 319. 109284–109284.
4.
Christodoulou, Magdalini, Sofie Derycke, Kevin K. Beentjes, et al.. (2025). A taxonomically reliable DNA barcode reference library for North Sea macrobenthos. Scientific Data. 12(1). 1198–1198.
5.
Laakmann, Silke, Astrid Cornils, Katja Metfies, et al.. (2025). Of sequences and images - diversity and quantity of Arctic epipelagic zooplankton by an integrative approach. Journal of Plankton Research. 47(6). fbaf059–fbaf059.
6.
Peters, Janna, et al.. (2024). A universal tool for marine metazoan species identification: towards best practices in proteomic fingerprinting. Scientific Reports. 14(1). 1280–1280. 3 indexed citations
7.
8.
Peters, Janna, et al.. (2023). Perspectives of species identification by MALDI‐TOF MS in monitoring—Stability of proteomic fingerprints in marine epipelagic copepods. Molecular Ecology Resources. 23(5). 1077–1091. 4 indexed citations
9.
Castellanos‐Galindo, Gustavo A., et al.. (2023). Environmental DNA (eDNA) reveals potential for interoceanic fish invasions across the Panama Canal. Ecology and Evolution. 13(1). e9675–e9675. 12 indexed citations
10.
11.
12.
Kaiser, Patricia, Jasmin Renz, Silke Laakmann, et al.. (2022). Proteomic fingerprinting enables quantitative biodiversity assessments of species and ontogenetic stages in Calanus congeners (Copepoda, Crustacea) from the Arctic Ocean. Molecular Ecology Resources. 23(2). 382–395. 4 indexed citations
13.
Renz, Jasmin, et al.. (2021). Proteomic fingerprinting facilitates biodiversity assessments in understudied ecosystems: A case study on integrated taxonomy of deep sea copepods. Molecular Ecology Resources. 21(6). 1936–1951. 9 indexed citations
14.
15.
Knebelsberger, Thomas, et al.. (2018). Metabarcoding of marine environmental DNA based on mitochondrial and nuclear genes. Scientific Reports. 8(1). 14822–14822. 61 indexed citations
16.
Laakmann, Silke, et al.. (2018). Do molecular phylogenies unravel the relationships among the evolutionary young “Brafordian” families (Copepoda; Calanoida)?. Molecular Phylogenetics and Evolution. 130. 330–345. 6 indexed citations
17.
Mohrbeck, Inga, Michael J. Raupach, Pedro Martínez Arbizu, Thomas Knebelsberger, & Silke Laakmann. (2015). High-Throughput Sequencing—The Key to Rapid Biodiversity Assessment of Marine Metazoa?. PLoS ONE. 10(10). e0140342–e0140342. 48 indexed citations
18.
Raupach, Michael J., Andrea Barco, Dirk Steinke, et al.. (2015). The Application of DNA Barcodes for the Identification of Marine Crustaceans from the North Sea and Adjacent Regions. PLoS ONE. 10(9). e0139421–e0139421. 122 indexed citations
19.
Laakmann, Silke, et al.. (2013). Comparison of molecular species identification for North Sea calanoid copepods (Crustacea) using proteome fingerprints and DNA sequences. Molecular Ecology Resources. 13(5). 862–876. 84 indexed citations
20.
Laakmann, Silke, Holger Auel, & Marc Kochzius. (2012). Evolution in the deep sea: Biological traits, ecology and phylogenetics of pelagic copepods. Molecular Phylogenetics and Evolution. 65(2). 535–546. 26 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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