Patrick Rüther

1.8k total citations · 1 hit paper
8 papers, 705 citations indexed

About

Patrick Rüther is a scholar working on Molecular Biology, Spectroscopy and Paleontology. According to data from OpenAlex, Patrick Rüther has authored 8 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Paleontology. Recurrent topics in Patrick Rüther's work include Advanced Proteomics Techniques and Applications (4 papers), Archaeology and ancient environmental studies (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Patrick Rüther is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Archaeology and ancient environmental studies (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Patrick Rüther collaborates with scholars based in Denmark, Czechia and Spain. Patrick Rüther's co-authors include Jesper V. Olsen, Tanveer S. Batth, Sophia Steigerwald, Tabiwang N. Arrey, Kyle L. Fort, A. Harder, Alexander Makarov, Dorte B. Bekker‐Jensen, Ana Martínez‐Val and Simon Bekker‐Jensen and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Protocols.

In The Last Decade

Patrick Rüther

7 papers receiving 702 citations

Hit Papers

A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIM... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Rüther Denmark 7 460 322 71 71 58 8 705
Rosa Jersie-Christensen Denmark 10 379 0.8× 166 0.5× 97 1.4× 107 1.5× 34 0.6× 14 690
Lasse Gaarde Falkenby Denmark 8 803 1.7× 211 0.7× 129 1.8× 3 0.0× 205 3.5× 10 1.0k
Guo Ci Teo United States 12 926 2.0× 594 1.8× 49 0.7× 3 0.0× 72 1.2× 13 1.2k
Ana Martínez‐Val Denmark 12 652 1.4× 493 1.5× 26 0.4× 3 0.0× 68 1.2× 22 846
Tomoyo Takami Japan 4 427 0.9× 143 0.4× 42 0.6× 2 0.0× 55 0.9× 6 596
Gloria Sheynkman United States 19 915 2.0× 314 1.0× 75 1.1× 2 0.0× 39 0.7× 39 1.1k
Quanze He China 17 486 1.1× 165 0.5× 226 3.2× 27 0.5× 36 752
Gianluca Maddalo Sweden 15 473 1.0× 127 0.4× 65 0.9× 56 1.0× 20 650
D. Andrew James Canada 11 463 1.0× 104 0.3× 61 0.9× 58 1.0× 18 593
Stephanie Kaspar‐Schoenefeld Germany 5 621 1.4× 467 1.5× 33 0.5× 1 0.0× 53 0.9× 6 888

Countries citing papers authored by Patrick Rüther

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Rüther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Rüther

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

All Works

8 of 8 papers shown
1.
Taurozzi, Alberto J., Patrick Rüther, Florian Harking, et al.. (2024). Deep-time phylogenetic inference by paleoproteomic analysis of dental enamel. Nature Protocols. 19(7). 2085–2116. 6 indexed citations
2.
Rüther, Patrick, Pernille Bangsgaard, Kristian Murphy Gregersen, et al.. (2022). SPIN enables high throughput species identification of archaeological bone by proteomics. Nature Communications. 13(1). 2458–2458. 40 indexed citations
3.
Ye, Zilu, Tanveer S. Batth, Patrick Rüther, & Jesper V. Olsen. (2022). A deeper look at carrier proteome effects for single-cell proteomics. Communications Biology. 5(1). 150–150. 38 indexed citations
4.
Bekker‐Jensen, Dorte B., Ana Martínez‐Val, Sophia Steigerwald, et al.. (2020). A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients. Molecular & Cellular Proteomics. 19(4). 716–729. 283 indexed citations breakdown →
5.
Batth, Tanveer S., Maxim A. X. Tollenaere, Patrick Rüther, et al.. (2019). Protein Aggregation Capture on Microparticles Enables Multipurpose Proteomics Sample Preparation*. Molecular & Cellular Proteomics. 18(5). 1027a–1035. 224 indexed citations
6.
Mackie, Meaghan, Patrick Rüther, Diana Samodova, et al.. (2018). Palaeoproteomic Profiling of Conservation Layers on a 14th Century Italian Wall Painting. Angewandte Chemie. 130(25). 7491–7496.
7.
Mackie, Meaghan, Patrick Rüther, Diana Samodova, et al.. (2018). Palaeoproteomic Profiling of Conservation Layers on a 14th Century Italian Wall Painting. Angewandte Chemie International Edition. 57(25). 7369–7374. 81 indexed citations
8.
Mortuza, Gulnahar B., Anna-Kathrine Pedersen, Sandra Segura‐Bayona, et al.. (2018). Molecular basis of Tousled-Like Kinase 2 activation. Nature Communications. 9(1). 2535–2535. 33 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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