Lars Ketscher

784 total citations
10 papers, 405 citations indexed

About

Lars Ketscher is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Lars Ketscher has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Physiology. Recurrent topics in Lars Ketscher's work include interferon and immune responses (6 papers), Ubiquitin and proteasome pathways (4 papers) and Immunotherapy and Immune Responses (2 papers). Lars Ketscher is often cited by papers focused on interferon and immune responses (6 papers), Ubiquitin and proteasome pathways (4 papers) and Immunotherapy and Immune Responses (2 papers). Lars Ketscher collaborates with scholars based in Germany, Sweden and United States. Lars Ketscher's co-authors include Klaus‐Peter Knobeloch, Anja Basters, Marco Prinz, Zhengye Liu, G. Fritz, Andrew Pekosz, Olaf Utermöhlen, Leandro Z. Agudelo, Susana Guerra and Deborah J. Lenschow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Lars Ketscher

10 papers receiving 402 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 Ketscher Germany 8 221 197 64 42 41 10 405
J. Robert Chang United States 7 201 0.9× 130 0.7× 61 1.0× 64 1.5× 82 2.0× 12 538
Siddheshvar Bhela United States 13 216 1.0× 204 1.0× 48 0.8× 131 3.1× 12 0.3× 16 530
Virginia Kocieda United States 6 165 0.7× 156 0.8× 39 0.6× 37 0.9× 9 0.2× 7 406
César Oyarce Chile 8 112 0.5× 85 0.4× 40 0.6× 18 0.4× 38 0.9× 12 292
Xiaoming Qi China 12 207 0.9× 73 0.4× 22 0.3× 54 1.3× 7 0.2× 22 368
Swapnil Sinha India 8 87 0.4× 82 0.4× 17 0.3× 30 0.7× 22 0.5× 11 292
Nicholas E. Martinez United States 15 131 0.6× 203 1.0× 82 1.3× 64 1.5× 76 1.9× 22 471
Luca Ghita Germany 10 82 0.4× 193 1.0× 22 0.3× 57 1.4× 15 0.4× 12 418
Yi Gao China 10 132 0.6× 138 0.7× 201 3.1× 24 0.6× 7 0.2× 15 491
Portia Gough United States 8 97 0.4× 80 0.4× 33 0.5× 34 0.8× 7 0.2× 13 286

Countries citing papers authored by Lars Ketscher

Since Specialization
Citations

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

Fields of papers citing papers by Lars Ketscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Ketscher

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

All Works

10 of 10 papers shown
1.
Agudelo, Leandro Z., Duarte M. S. Ferreira, Igor Červenka, et al.. (2019). Skeletal muscle PGC-1α1 reroutes kynurenine metabolism to increase energy efficiency and fatigue-resistance. Nature Communications. 10(1). 2767–2767. 97 indexed citations
2.
Bayindir‐Buchhalter, Irem, Gretchen Wolff, Tjeerd Sijmonsma, et al.. (2018). Cited4 is a sex‐biased mediator of the antidiabetic glitazone response in adipocyte progenitors. EMBO Molecular Medicine. 10(8). 4 indexed citations
3.
Ketscher, Lars & Klaus‐Peter Knobeloch. (2015). ISG15 uncut: Dissecting enzymatic and non-enzymatic functions of USP18 in vivo. Cytokine. 76(2). 569–571. 16 indexed citations
4.
Ketscher, Lars, Anja Basters, Susana Guerra, et al.. (2015). Selective inactivation of USP18 isopeptidase activity in vivo enhances ISG15 conjugation and viral resistance. Proceedings of the National Academy of Sciences. 112(5). 1577–1582. 88 indexed citations
5.
Basters, Anja, Paul P. Geurink, Farid El Oualid, et al.. (2014). Molecular characterization of ubiquitin‐specific protease 18 reveals substrate specificity for interferon‐stimulated gene 15. FEBS Journal. 281(7). 1918–1928. 43 indexed citations
6.
Klingel, Karin, Nicola Laura Diny, Nadine Althof, et al.. (2014). Ubiquitin-Like Protein ISG15 (Interferon-Stimulated Gene of 15 kDa) in Host Defense Against Heart Failure in a Mouse Model of Virus-Induced Cardiomyopathy. Circulation. 130(18). 1589–1600. 79 indexed citations
7.
Basters, Anja, Lars Ketscher, Elke Deuerling, et al.. (2012). High yield expression of catalytically active USP18 (UBP43) using a Trigger Factor fusion system. BMC Biotechnology. 12(1). 56–56. 13 indexed citations
8.
Ketscher, Lars, Anja Basters, Marco Prinz, & Klaus‐Peter Knobeloch. (2011). mHERC6 is the essential ISG15 E3 ligase in the murine system. Biochemical and Biophysical Research Communications. 417(1). 135–140. 41 indexed citations
9.
Bergsdorf, Christian, et al.. (2008). A One-Day, Dispense-Only IP-One HTRF Assay for High-Throughput Screening of G α q Protein-Coupled Receptors: Towards Cells as Reagents. Assay and Drug Development Technologies. 6(1). 39–53. 23 indexed citations
10.
Böhl, Markus, et al.. (2006). Phospholipase A2 inhibition at different substrate concentrations. Analytical Biochemistry. 359(2). 280–282. 1 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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