Julia Baaske

774 total citations · 1 hit paper
8 papers, 625 citations indexed

About

Julia Baaske is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julia Baaske has authored 8 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julia Baaske's work include CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and MicroRNA in disease regulation (3 papers). Julia Baaske is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and MicroRNA in disease regulation (3 papers). Julia Baaske collaborates with scholars based in Germany, United Kingdom and Switzerland. Julia Baaske's co-authors include Wilfried Weber, Sibylle Madlener, G. Urban, Richard C. Bruch, Can Dincer, Claire Chatelle, André Kling, Midori Johnston, Stefan Partel and Wolfgang W. Schamel and has published in prestigious journals such as Advanced Materials, Scientific Reports and Biosensors and Bioelectronics.

In The Last Decade

Julia Baaske

8 papers receiving 622 citations

Hit Papers

CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosen... 2019 2026 2021 2023 2019 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
Julia Baaske Germany 6 541 259 67 53 49 8 625
Yuanyue Shan China 10 981 1.8× 377 1.5× 86 1.3× 21 0.4× 67 1.4× 17 1.1k
Dongjuan Chen China 12 425 0.8× 365 1.4× 16 0.2× 14 0.3× 37 0.8× 28 642
Xiao Tan China 11 502 0.9× 182 0.7× 20 0.3× 27 0.5× 36 0.7× 19 586
Eesha Sharma Canada 5 546 1.0× 153 0.6× 94 1.4× 14 0.3× 115 2.3× 8 669
Francie Barron United States 6 357 0.7× 207 0.8× 15 0.2× 93 1.8× 78 1.6× 7 557
Zhen Tan United States 7 505 0.9× 77 0.3× 34 0.5× 33 0.6× 12 0.2× 10 541
John M. Pagano United States 10 609 1.1× 109 0.4× 31 0.5× 17 0.3× 22 0.4× 11 678
Jayeon Song South Korea 13 348 0.6× 204 0.8× 47 0.7× 12 0.2× 47 1.0× 26 430
Tomoharu Kajiyama Japan 12 371 0.7× 214 0.8× 47 0.7× 46 0.9× 26 0.5× 26 488
Minjeong Kang South Korea 12 295 0.5× 71 0.3× 42 0.6× 18 0.3× 21 0.4× 27 494

Countries citing papers authored by Julia Baaske

Since Specialization
Citations

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

Fields of papers citing papers by Julia Baaske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Baaske

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Baaske. A scholar is included among the top collaborators of Julia Baaske 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 Julia Baaske. Julia Baaske 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.
Fischer, Alexandra, et al.. (2023). Real‐time monitoring of cell surface protein arrival with split luciferases. Traffic. 24(10). 453–462. 2 indexed citations
2.
Bruch, Richard C., Midori Johnston, André Kling, et al.. (2021). CRISPR-powered electrochemical microfluidic multiplexed biosensor for target amplification-free miRNA diagnostics. Biosensors and Bioelectronics. 177. 112887–112887. 162 indexed citations
3.
Gonschorek, Patrick, et al.. (2020). Optogenetic Downregulation of Protein Levels to Control Programmed Cell Death in Mammalian Cells with a Dual Blue-Light Switch. Methods in molecular biology. 2173. 159–170. 5 indexed citations
4.
Bruch, Richard C., Julia Baaske, Claire Chatelle, et al.. (2019). CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosensor for Nucleic Acid Amplification‐Free miRNA Diagnostics. Advanced Materials. 31(51). e1905311–e1905311. 368 indexed citations breakdown →
5.
Bruch, Richard C., Julia Baaske, Claire Chatelle, et al.. (2019). Electrochemical biosensor for CRISPR/Cas13a powered miRNA diagnostics. 1–3. 2 indexed citations
6.
Bruch, Richard C., Julia Baaske, Claire Chatelle, et al.. (2019). Biosensors: CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosensor for Nucleic Acid Amplification‐Free miRNA Diagnostics (Adv. Mater. 51/2019). Advanced Materials. 31(51). 11 indexed citations
7.
Baaske, Julia, Wignand W. D. Mühlhäuser, O. Sascha Yousefi, et al.. (2018). Optogenetic control of integrin-matrix interaction. Communications Biology. 2(1). 15–15. 32 indexed citations
8.
Baaske, Julia, Patrick Gonschorek, Raphael Engesser, et al.. (2018). Dual-controlled optogenetic system for the rapid down-regulation of protein levels in mammalian cells. Scientific Reports. 8(1). 15024–15024. 43 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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