Lucie Studená

600 citations
4 papers · 395 indexed · 1 hit paper · h-index 3
Topics
CRISPR and Genetic Engineering (2 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)Enzyme Catalysis and Immobilization (1 paper)

In The Last Decade

Lucie Studená

4 papers receiving 386 citations

Hit Papers

Multiplexed CRISPR technologies for gene editing and tran...20202026202220242020100200300

Peers

Lucie Studená
Comparison fields: 5 of 53
  • Molecular Biology 358
  • Genetics 64
  • Plant Science 61
  • Insect Science 35
  • Biomedical Engineering 34
Replace Daphne Collias with:
Daphne Collias Germany
Karthik Murugan United States
Sushmitha Paulraj Lithuania
Haopeng Yu China
Hanna Müller-Esparza Germany
Megumu Mabuchi United States
Muzi Hu China
Jonathan Chuck Germany
Connor J. Tou United States
Lucie Studená relative to Daphne Collias Germany Daphne Collias's profile →
Citations per field
00.5×
Daphne Collias · 1×
Citations per year

Countries citing papers authored by Lucie Studená

Since Specialization
Citations

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

Fields of papers citing papers by Lucie Studená

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucie Studená

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 6
3 40
4
Multiplexed CRISPR technologies for gene editing and transcriptional regulationbreakdown →
348

About Lucie Studená

Lucie Studená is a scholar working on Aging, Business and International Management and Renewable Energy, Sustainability and the Environment, having authored 4 papers that have together received 395 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Business and International Management (24 citations), Aging (19 citations) and Molecular Biology (358 citations). Lucie Studená has collaborated with scholars based in United Kingdom, France and Denmark. Frequent co-authors include Rodrigo Ledesma‐Amaro, Nicholas S. McCarty, Piotr Hapeta, Tom Ellis, W. M. Shaw, Young Kyoung Park, Peter J. Nixon, Jing Fu, Jean‐Marc Nicaud and David Bell. Their work appears in journals such as Nature Communications, Bioresource Technology and Microbial Cell Factories.

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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