Roland Luethy

1.5k total citations
19 papers, 1.0k citations indexed

About

Roland Luethy is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Roland Luethy has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Spectroscopy and 3 papers in Epidemiology. Recurrent topics in Roland Luethy's work include Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Roland Luethy is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Roland Luethy collaborates with scholars based in United States, Germany and Switzerland. Roland Luethy's co-authors include Scott D. Patterson, Chris Spahr, John H. Robinson, Paul Courchesne, Jill Beierle, Michael D. McGinley, Wen Yu, Edward J. Bures, Michael T. Davis and Kui Chen and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Molecular and Cellular Biology.

In The Last Decade

Roland Luethy

19 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
Roland Luethy United States 13 605 525 134 114 83 19 1.0k
Nicholas J. Bond United Kingdom 16 582 1.0× 256 0.5× 79 0.6× 142 1.2× 60 0.7× 34 903
Morten Beck Trelle Denmark 16 933 1.5× 341 0.6× 153 1.1× 150 1.3× 82 1.0× 25 1.4k
Michael D. McGinley United States 10 572 0.9× 490 0.9× 118 0.9× 33 0.3× 36 0.4× 16 913
Gordon Whiteley United States 17 632 1.0× 411 0.8× 79 0.6× 64 0.6× 24 0.3× 37 1.0k
Scott Kronewitter United States 14 967 1.6× 335 0.6× 169 1.3× 48 0.4× 54 0.7× 20 1.2k
Marcel Kwiatkowski Germany 16 412 0.7× 154 0.3× 130 1.0× 90 0.8× 63 0.8× 59 884
Terri A. Addona United States 10 1.0k 1.7× 842 1.6× 226 1.7× 40 0.4× 35 0.4× 11 1.5k
Aleksey Nakorchevsky United States 6 716 1.2× 581 1.1× 72 0.5× 31 0.3× 54 0.7× 7 1.2k
Jean‐Philippe Charrier France 15 469 0.8× 314 0.6× 40 0.3× 100 0.9× 34 0.4× 28 863
Lance Martin United States 16 1.3k 2.2× 122 0.2× 86 0.6× 160 1.4× 180 2.2× 26 1.9k

Countries citing papers authored by Roland Luethy

Since Specialization
Citations

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

Fields of papers citing papers by Roland Luethy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Luethy

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

All Works

19 of 19 papers shown
1.
Wacker, James, Oliver Liesenfeld, Michael B. Mayhew, et al.. (2022). Prospective validation of a transcriptomic severity classifier among patients with suspected acute infection and sepsis in the emergency department. European Journal of Emergency Medicine. 29(5). 357–365. 16 indexed citations
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Mayhew, Michael B., Ljubomir Buturović, Roland Luethy, et al.. (2020). A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections. Nature Communications. 11(1). 1177–1177. 72 indexed citations
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Kani, Kian, Vítor M. Faça, Lindsey D. Hughes, et al.. (2012). Quantitative Proteomic Profiling Identifies Protein Correlates to EGFR Kinase Inhibition. Molecular Cancer Therapeutics. 11(5). 1071–1081. 6 indexed citations
7.
Luethy, Roland, Darren Kessner, Jonathan E. Katz, et al.. (2008). Precursor-Ion Mass Re-Estimation Improves Peptide Identification on Hybrid Instruments. Journal of Proteome Research. 7(9). 4031–4039. 46 indexed citations
8.
Luethy, Roland, et al.. (2004). Hardware and software systems for accelerating common bioinformatics sequence analysis algorithms. 2(1). 12–17. 15 indexed citations
9.
Spahr, Chris, Michael D. McGinley, John H. Robinson, et al.. (2001). Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry I.Profiling an unfractionated tryptic digest. PROTEOMICS. 1(1). 93–107. 258 indexed citations
10.
Davis, Michael T., Jill Beierle, Michael D. McGinley, et al.. (2001). Automated LC–LC–MS–MS platform using binary ion-exchange and gradient reversed-phase chromatography for improved proteomic analyses. Journal of Chromatography B Biomedical Sciences and Applications. 752(2). 281–291. 123 indexed citations
11.
Davis, Michael T., Chris Spahr, Michael D. McGinley, et al.. (2001). Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry II.Limitations of complex mixture analyses. PROTEOMICS. 1(1). 108–117. 102 indexed citations
12.
Spahr, Chris, Michael T. Davis, Michael D. McGinley, et al.. (2001). Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry I.Profiling an unfractionated tryptic digest. PROTEOMICS. 1(1). 93–107. 7 indexed citations
13.
Davis, Michael T., Chris Spahr, Michael D. McGinley, et al.. (2001). Towards defining the urinary proteome using liquid chromatography-tandem mass spectrometry II.Limitations of complex mixture analyses. PROTEOMICS. 1(1). 108–117. 2 indexed citations
14.
Hu, Mickey C.‐T., Wan Rong Qiu, Youping Wang, et al.. (1998). FGF-18, a Novel Member of the Fibroblast Growth Factor Family, Stimulates Hepatic and Intestinal Proliferation. Molecular and Cellular Biology. 18(10). 6063–6074. 125 indexed citations
15.
Courchesne, Paul, Michael D. Jones, John H. Robinson, et al.. (1998). Optimization of capillary chromatography ion trap‐mass spectrometry for identification of gel‐separated proteins. Electrophoresis. 19(6). 956–967. 33 indexed citations
16.
Alexandrov, Nickolai & Roland Luethy. (1998). Alignment algorithm for homology modeling and threading. Protein Science. 7(2). 254–258. 15 indexed citations
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Held, Werner, Alexander N. Shakhov, Gary A. Waanders, et al.. (1992). An exogenous mouse mammary tumor virus with properties of Mls-1a (Mtv-7).. The Journal of Experimental Medicine. 175(6). 1623–1633. 124 indexed citations
19.
Joos, Béda, et al.. (1984). Variability of ceftriaxone pharmacokinetics in hospitalized patients with severe infections.. PubMed. 77(4C). 59–62. 11 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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