Samuel Hürlemann

471 total citations · 1 hit paper
9 papers, 305 citations indexed

About

Samuel Hürlemann is a scholar working on Molecular Biology, Ecology and Ecological Modeling. According to data from OpenAlex, Samuel Hürlemann has authored 9 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Ecological Modeling. Recurrent topics in Samuel Hürlemann's work include Environmental DNA in Biodiversity Studies (5 papers), Microbial Community Ecology and Physiology (4 papers) and Species Distribution and Climate Change (4 papers). Samuel Hürlemann is often cited by papers focused on Environmental DNA in Biodiversity Studies (5 papers), Microbial Community Ecology and Physiology (4 papers) and Species Distribution and Climate Change (4 papers). Samuel Hürlemann collaborates with scholars based in Switzerland, Canada and France. Samuel Hürlemann's co-authors include Florian Altermatt, Marjorie Couton, François Keck, Raphaël Bossart, Dominik Kirschner, Heng Zhang, Jeanine Brantschen, Rosetta C. Blackman, Roman Alther and Martin Fussenegger and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Samuel Hürlemann

9 papers receiving 298 citations

Hit Papers

Meta‐analysis shows both congruence and complementarity o... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Hürlemann Switzerland 8 248 205 40 38 16 9 305
Jeanine Brantschen Switzerland 9 318 1.3× 234 1.1× 56 1.4× 52 1.4× 25 1.6× 15 352
Elizabeth Andruszkiewicz Allan United States 9 412 1.7× 316 1.5× 60 1.5× 32 0.8× 36 2.3× 18 438
Kat Bruce United Kingdom 5 437 1.8× 309 1.5× 71 1.8× 58 1.5× 31 1.9× 8 471
Sune Agersnap Denmark 7 289 1.2× 211 1.0× 45 1.1× 39 1.0× 39 2.4× 8 302
Nathaniel T. Marshall United States 8 337 1.4× 225 1.1× 83 2.1× 35 0.9× 35 2.2× 14 361
Dominik Kirschner Switzerland 5 228 0.9× 163 0.8× 45 1.1× 31 0.8× 19 1.2× 7 259
Matthew J. Heydenrych Australia 9 370 1.5× 300 1.5× 55 1.4× 54 1.4× 21 1.3× 13 413
Till‐Hendrik Macher Germany 10 232 0.9× 163 0.8× 32 0.8× 41 1.1× 21 1.3× 17 257
Georgia Nester Australia 5 302 1.2× 237 1.2× 44 1.1× 31 0.8× 18 1.1× 7 317
Kévin Cilleros France 7 330 1.3× 277 1.4× 116 2.9× 38 1.0× 15 0.9× 7 390

Countries citing papers authored by Samuel Hürlemann

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Hürlemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Hürlemann

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

All Works

9 of 9 papers shown
1.
Couton, Marjorie, et al.. (2023). Integrating citizen science and environmental DNA metabarcoding to study biodiversity of groundwater amphipods in Switzerland. Scientific Reports. 13(1). 18097–18097. 13 indexed citations
2.
Couton, Marjorie, et al.. (2023). Groundwater environmental DNA metabarcoding reveals hidden diversity and reflects land‐use and geology. Molecular Ecology. 32(13). 3497–3512. 17 indexed citations
3.
Keck, François, Rosetta C. Blackman, Raphaël Bossart, et al.. (2022). Meta‐analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment. Molecular Ecology. 31(6). 1820–1835. 151 indexed citations breakdown →
4.
Teixeira, Ana P., et al.. (2022). CelloSelect – A synthetic cellobiose metabolic pathway for selection of stable transgenic CHO cell lines. Metabolic Engineering. 70. 23–30. 4 indexed citations
5.
Keck, François, et al.. (2022). A triad of kicknet sampling, eDNA metabarcoding, and predictive modeling to assess richness of mayflies, stoneflies and caddisflies in rivers. SHILAP Revista de lepidopterología. 6. 8 indexed citations
6.
Thompson, Patrick L., Samuel Hürlemann, & Florian Altermatt. (2021). Species Interactions Limit the Predictability of Community Responses to Environmental Change. The American Naturalist. 198(6). 694–705. 7 indexed citations
7.
Mächler, Elvira, Chelsea J. Little, Roman Alther, et al.. (2019). Assessing different components of diversity across a river network using eDNA. Environmental DNA. 1(3). 290–301. 66 indexed citations
8.
Ausländer, Simon, David Fuchs, Samuel Hürlemann, David M. Auslander, & Martin Fussenegger. (2016). Engineering a ribozyme cleavage-induced split fluorescent aptamer complementation assay. Nucleic Acids Research. 44(10). e94–e94. 32 indexed citations
9.
Geering, Barbara, Samuel Hürlemann, Bertran Gerrits, et al.. (2015). Identification of Novel Death-Associated Protein Kinase 2 Interaction Partners by Proteomic Screening Coupled with Bimolecular Fluorescence Complementation. Molecular and Cellular Biology. 36(1). 132–143. 7 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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