Lars Schaade

2.9k total citations
87 papers, 1.3k citations indexed

About

Lars Schaade is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Lars Schaade has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Infectious Diseases, 20 papers in Epidemiology and 19 papers in Molecular Biology. Recurrent topics in Lars Schaade's work include SARS-CoV-2 and COVID-19 Research (19 papers), SARS-CoV-2 detection and testing (14 papers) and COVID-19 epidemiological studies (12 papers). Lars Schaade is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), SARS-CoV-2 detection and testing (14 papers) and COVID-19 epidemiological studies (12 papers). Lars Schaade collaborates with scholars based in Germany, United States and Switzerland. Lars Schaade's co-authors include Klaus Ritter, Andreas Nitsche, Martin Häusler, Michael Kleines, Joerg Doellinger, Marica Grossegesse, Osamah Hamouda, Michaela Diercke, Ute Rexroth and Klaus Schweizer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lars Schaade

82 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Schaade Germany 21 552 399 226 162 139 87 1.3k
Ilhem Messaoudi United States 26 1.1k 2.1× 713 1.8× 428 1.9× 128 0.8× 110 0.8× 102 2.4k
Paul‐Henri Lambert Switzerland 22 557 1.0× 612 1.5× 337 1.5× 37 0.2× 69 0.5× 32 1.9k
Rachel M. Presti United States 24 772 1.4× 848 2.1× 438 1.9× 56 0.3× 368 2.6× 59 2.7k
H. W. Doerr Germany 24 577 1.0× 996 2.5× 296 1.3× 58 0.4× 224 1.6× 67 1.8k
Mini P. Singh India 20 583 1.1× 376 0.9× 284 1.3× 30 0.2× 54 0.4× 126 1.5k
Azizul Haque France 21 413 0.7× 180 0.5× 118 0.5× 57 0.4× 60 0.4× 64 1.2k
David R. Martinez United States 20 1.1k 1.9× 348 0.9× 282 1.2× 45 0.3× 61 0.4× 62 1.8k
Mai‐Juan Ma China 22 1.1k 2.0× 464 1.2× 188 0.8× 172 1.1× 47 0.3× 64 1.7k
Sophie A. Valkenburg Hong Kong 26 801 1.5× 1.1k 2.8× 518 2.3× 119 0.7× 103 0.7× 62 2.3k
Jingxin Li China 25 2.0k 3.6× 437 1.1× 405 1.8× 153 0.9× 82 0.6× 110 2.9k

Countries citing papers authored by Lars Schaade

Since Specialization
Citations

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

Fields of papers citing papers by Lars Schaade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Schaade

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Schaade. A scholar is included among the top collaborators of Lars Schaade 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 Lars Schaade. Lars Schaade 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.
Poethko‐Müller, Christina, Martin Schlaud, Sebastian Haller, et al.. (2025). Nationwide population-based infection- and vaccine-induced SARS-CoV-2 antibody seroprevalence in Germany in autumn/winter 2021/2022. Eurosurveillance. 30(1). 1 indexed citations
2.
Brinkmann, Annika, et al.. (2024). Genome sequencing of the mpox virus 2022 outbreak with amplicon-based Oxford Nanopore MinION sequencing. Journal of Virological Methods. 325. 114888–114888. 3 indexed citations
3.
4.
Krause, Eva, Janine Michel, Andreas Puyskens, et al.. (2023). Flexible upscaling of laboratory PCR testing capacity at the Robert Koch Institute during the SARS-CoV-2 pandemic. Virology Journal. 20(1). 139–139. 2 indexed citations
5.
Brinkmann, Annika, Claudia Kohl, Daniel Bourquain, et al.. (2023). Extensive ITR expansion of the 2022 Mpox virus genome through gene duplication and gene loss. Virus Genes. 59(4). 532–540. 16 indexed citations
6.
7.
Grossegesse, Marica, Daniel Bourquain, Markus Neumann, et al.. (2022). Deep Time Course Proteomics of SARS-CoV- and SARS-CoV-2-Infected Human Lung Epithelial Cells (Calu-3) Reveals Strong Induction of Interferon-Stimulated Gene Expression by SARS-CoV-2 in Contrast to SARS-CoV. Journal of Proteome Research. 21(2). 459–469. 14 indexed citations
8.
Michel, Janine, Daniel Bourquain, Annika Brinkmann, et al.. (2022). Evaluation of 11 commercially available PCR kits for the detection of monkeypox virus DNA, Berlin, July to September 2022. Eurosurveillance. 27(45). 21 indexed citations
9.
Hofmann, Natalie, Marica Grossegesse, Markus Neumann, Lars Schaade, & Andreas Nitsche. (2022). Evaluation of a commercial ELISA as alternative to plaque reduction neutralization test to detect neutralizing antibodies against SARS-CoV-2. Scientific Reports. 12(1). 3549–3549. 29 indexed citations
10.
Grossegesse, Marica, et al.. (2021). Inactivation of Coronaviruses during Sample Preparation for Proteomics Experiments. Journal of Proteome Research. 20(9). 4598–4602. 2 indexed citations
11.
Hoebel, Jens, Markus M. Grabka, Carsten Schröder, et al.. (2021). Socioeconomic position and SARS-CoV-2 infections: seroepidemiological findings from a German nationwide dynamic cohort. Journal of Epidemiology & Community Health. 76(4). 350–353. 23 indexed citations
12.
Grossegesse, Marica, Felix Hartkopf, Andreas Nitsche, et al.. (2020). Perspective on Proteomics for Virus Detection in Clinical Samples. Journal of Proteome Research. 19(11). 4380–4388. 27 indexed citations
13.
Grossegesse, Marica, et al.. (2017). A Next-Generation Sequencing Approach Uncovers Viral Transcripts Incorporated in Poxvirus Virions. Viruses. 9(10). 296–296. 7 indexed citations
14.
Witkowski, Peter T., Daniel Bourquain, Katrin Bankov, et al.. (2016). Infection of human airway epithelial cells by different subtypes of Dobrava-Belgrade virus reveals gene expression patterns corresponding to their virulence potential. Virology. 493. 189–201. 11 indexed citations
15.
Raftery, Martin, Sebastian Voigt, Anja A. Kühl, et al.. (2015). Hantavirus-induced pathogenesis in mice with a humanized immune system. Journal of General Virology. 96(6). 1258–1263. 23 indexed citations
16.
Werber, Dirk, Gérard Krause, Christina Frank, et al.. (2012). Outbreaks of virulent diarrheagenic Escherichia coli- are we in control?. BMC Medicine. 10(1). 11–11. 35 indexed citations
17.
Schaade, Lars, Annicka Reuß, Walter Haas, & Gérard Krause. (2010). Pandemieplanung: Was haben wir aus der Pandemie (H1N1) 2009 gelernt?. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 53(12). 1277–1282.
18.
Krause, Gérard, Andreas Gilsdorf, C Dreweck, et al.. (2010). Erster Erfahrungsaustausch zur H1N1-Pandemie in Deutschland 2009/2010. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 53(5). 510–519. 21 indexed citations
19.
Schaade, Lars, et al.. (2008). Mangan-Superoxid-Dismutase-hemmende Autoantikörper bei der cholestatischen Epstein-Barr-Virus-Hepatitis. DMW - Deutsche Medizinische Wochenschrift. 123(49). 1478–1482. 1 indexed citations
20.

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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