Kim Fabiano Marquart

585 citations
13 papers · 336 indexed · 1 hit paper · h-index 10
Topics
CRISPR and Genetic Engineering (9 papers)RNA regulation and disease (5 papers)RNA and protein synthesis mechanisms (4 papers)

In The Last Decade

Kim Fabiano Marquart

12 papers receiving 333 citations

Hit Papers

Predicting prime editing efficiency and product purity by...20232026202420252023255075

Peers

Kim Fabiano Marquart
Comparison fields: 5 of 41
  • Molecular Biology 315
  • Genetics 95
  • Cancer Research 30
  • Oncology 25
  • Immunology 20
Replace Chih-Chung Kuo with:
Chih-Chung Kuo United States
Changchang Xin China
Zhenchao Zhang United States
Alexander Strong United Kingdom
Joana Ferreira da Silva Austria
Joost van Haasteren Switzerland
Nicolas Mathis Switzerland
Paul C. Kirchgatterer United States
Tanja Rothgangl Switzerland
Johanna Shen United States
Kim Fabiano Marquart relative to Chih-Chung Kuo United States Chih-Chung Kuo's profile →
Citations per field
00.5×3.2×
Chih-Chung Kuo · 1×
Citations per year

Countries citing papers authored by Kim Fabiano Marquart

Since Specialization
Citations

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

Fields of papers citing papers by Kim Fabiano Marquart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Fabiano Marquart. 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 Kim Fabiano Marquart. The network helps show where Kim Fabiano Marquart may publish in the future.

Co-authorship network of co-authors of Kim Fabiano Marquart

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 8
4 12
5 24
6 9
7
Predicting prime editing efficiency and product purity by deep learningbreakdown →
84
8 34
9 12
10 52
11 39
12 42
13 19

About Kim Fabiano Marquart

Kim Fabiano Marquart is a scholar working on Business and International Management, Virology and Computer Science Applications, having authored 13 papers that have together received 336 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), RNA regulation and disease (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Business and International Management (19 citations), Aging (16 citations) and Molecular Biology (315 citations). Kim Fabiano Marquart has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gerald Schwank, Ahmed Allam, Michael Krauthammer, Nicolas Mathis, Lukas Schmidheini, Lucas Kissling, Nina Frey, Sharan Janjuha, Lukas Villiger and Tanja Rothgangl. Their work appears in journals such as Nature Communications, Nature Biotechnology and Nature Methods.

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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