Kai Schönig

4.8k citations
49 papers · 3.2k · 1 hit paper · h-index 25

Impact in

Papers in

Kai Schönig

48 papers receiving 3.1k citations

Kai Schönig's Hit Papers

Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR 2016 · 1.2k citations
1.2k0+3+6Years since publication2505007501000

Peers

Kai Schönig
Comparison fields: 5 of 114
  • Aging 89
  • Cellular and Molecular Neuroscience 569
  • Molecular Biology 1.9k
  • Business and International Management 54
  • Developmental Neuroscience 82
Replace Ajamete Kaykas with:
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Citations per field
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Countries citing papers authored by Kai Schönig

Since Specialization
Citations

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

Fields of papers citing papers by Kai Schönig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Schönig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Schönig Line = papers co-authored together Kai Schönig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR
Hit paper breakdown →
20161155
2 2008232
3 2008221
4 2002172
5 2007135
6 2003128
7 2015125
8 2015116
9 200467
10 200964
11 200157
12 201351
13 200349
14 201541
15 201238
16 200637
17 201037
18 201635
19 200533
20 201633

About Kai Schönig

Kai Schönig is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience and Oncology, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Neuroscience and Neuropharmacology Research (9 papers), CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), RNA Interference and Gene Delivery (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Aging (89 citations), Cellular and Molecular Neuroscience (569 citations), Molecular Biology (1.9k citations), Business and International Management (54 citations) and Developmental Neuroscience (82 citations). Kai Schönig has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hermann Bujard, Maximilian Haeussler, Jim Kent, Sylvie Schneider‐Maunoury, Jean‐Stéphane Joly, Joffrey Mianné, Hélène Eckert, Alena Shkumatava, Alexis Eschstruth and Lydia Teboul. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, Nucleic Acids Research, Transgenic Research and Frontiers in Behavioral Neuroscience.

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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