Lara Walotka

781 total citations · 1 hit paper
8 papers, 388 citations indexed

About

Lara Walotka is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Lara Walotka has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 2 papers in Virology. Recurrent topics in Lara Walotka's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Lara Walotka is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Lara Walotka collaborates with scholars based in Germany, Austria and Italy. Lara Walotka's co-authors include Lisa Müller, Heiner Schaal, Johannes Ptok, Wiebke Moskorz, Philipp Niklas Ostermann, Jörg Timm, Sandra Hauka, Christopher Menne, Jonas Hillebrandt and Andreas Walker and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

In The Last Decade

Lara Walotka

6 papers receiving 384 citations

Hit Papers

Age-dependent Immune Response to the Biontech/Pfizer BNT1... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lara Walotka Germany 5 303 74 65 51 50 8 388
Johannes Ptok Germany 8 297 1.0× 121 1.6× 65 1.0× 52 1.0× 51 1.0× 16 452
Leo C. H. Tsang Hong Kong 5 346 1.1× 51 0.7× 79 1.2× 55 1.1× 47 0.9× 7 379
Sandra Hauka Germany 5 406 1.3× 61 0.8× 66 1.0× 57 1.1× 62 1.2× 7 473
Wiebke Moskorz Germany 4 297 1.0× 34 0.5× 65 1.0× 51 1.0× 50 1.0× 6 357
Sandrine Van Eeckhoudt Belgium 8 380 1.3× 41 0.6× 61 0.9× 57 1.1× 42 0.8× 11 405
Christopher Menne Germany 3 296 1.0× 29 0.4× 65 1.0× 52 1.0× 50 1.0× 4 340
Yetian Dong China 4 366 1.2× 105 1.4× 65 1.0× 42 0.8× 27 0.5× 7 442
Limor Kliker Israel 10 247 0.8× 54 0.7× 49 0.8× 29 0.6× 29 0.6× 27 306
Guoqing Zhao China 5 322 1.1× 87 1.2× 114 1.8× 25 0.5× 35 0.7× 11 427
Michael Aragones United States 4 351 1.2× 54 0.7× 122 1.9× 49 1.0× 62 1.2× 5 376

Countries citing papers authored by Lara Walotka

Since Specialization
Citations

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

Fields of papers citing papers by Lara Walotka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lara Walotka

This figure shows the co-authorship network connecting the top 25 collaborators of Lara Walotka. A scholar is included among the top collaborators of Lara Walotka 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 Lara Walotka. Lara Walotka 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.
Lübke, Nadine, Andreas Walker, Martin Obermeier, et al.. (2024). Real-world performance of the NeuMoDx™ HCV Quant Test for quantification of hepatitis C virus (HCV)-RNA. Journal of Virological Methods. 327. 114937–114937.
2.
Müller, Lisa, Marcel Andrée, Wiebke Moskorz, et al.. (2022). Adjusted COVID-19 booster schedules balance age-dependent differences in antibody titers benefitting risk populations. SHILAP Revista de lepidopterología. 3. 1027885–1027885. 1 indexed citations
3.
Müller, Lisa, Marcel Andrée, Wiebke Moskorz, et al.. (2021). Age-dependent Immune Response to the Biontech/Pfizer BNT162b2 Coronavirus Disease 2019 Vaccination. Clinical Infectious Diseases. 73(11). 2065–2072. 329 indexed citations breakdown →
4.
Xu, Haifeng C., Ruifeng Wang, Prashant V. Shinde, et al.. (2021). Slow viral propagation during initial phase of infection leads to viral persistence in mice. Communications Biology. 4(1). 508–508. 7 indexed citations
5.
Müller, Lisa, Wiebke Moskorz, Philipp Niklas Ostermann, et al.. (2021). Altered HIV-1 mRNA Splicing Due to Drug-Resistance-Associated Mutations in Exon 2/2b. International Journal of Molecular Sciences. 23(1). 156–156. 3 indexed citations
6.
Erkelenz, Steffen, Stephan Theiss, Wolfgang Kaisers, et al.. (2018). Ranking noncanonical 5′ splice site usage by genome-wide RNA-seq analysis and splicing reporter assays. Genome Research. 28(12). 1826–1840. 15 indexed citations
7.
Walotka, Lara, et al.. (2017). Analysis of Competing HIV-1 Splice Donor Sites Uncovers a Tight Cluster of Splicing Regulatory Elements within Exon 2/2b. Journal of Virology. 91(14). 18 indexed citations
8.
Schöneweis, Katrin, Lara Walotka, Linda Hartmann, et al.. (2016). Succession of splicing regulatory elements determines cryptic 5′ss functionality. Nucleic Acids Research. 45(7). gkw1317–gkw1317. 15 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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