Karl J. Clark
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications 20
- Aging top 5%
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 43
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 13
- RNA and protein synthesis mechanisms 8
- Genetics top 2%
- Animal Genetics and Reproduction 9
- Virus-based gene therapy research 7
-
- Chromosomal and Genetic Variations 8
- Co-authors
- Stephen C. EkkerPerry B. HackettAndrew M. PetzoldC. H. AlvinScott C. FahrenkrugJeffrey J. EssnerJarryd M. CampbellRandall G. Krug
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (5 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Karl J. Clark
81 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cell Biology 1.1k
- Aging 81
- Molecular Biology 3.0k
- Genetics 1.1k
- Business and International Management 46
Countries citing papers authored by Karl J. Clark
This map shows the geographic impact of Karl J. Clark'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 Karl J. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl J. Clark more than expected).
Fields of papers citing papers by Karl J. Clark
This network shows the impact of papers produced by Karl J. Clark. 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 Karl J. Clark. The network helps show where Karl J. Clark may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl J. Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 17 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 23 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 48 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 9 | |
| 13 | 2013 | 34 | |
| 14 | 2013 | 75 | |
| 15 | In vivo genome editing using a high-efficiency TALEN systembreakdown → | 2012 | 719 |
| 16 | 2011 | 53 | |
| 17 | 2011 | 14 | |
| 18 | 2010 | 46 | |
| 19 | 2009 | 340 | |
| 20 | 2008 | 25 |
About Karl J. Clark
Karl J. Clark is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 83 papers that have together received 4.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (43 papers), Zebrafish Biomedical Research Applications (20 papers), RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Animal Genetics and Reproduction (9 papers), RNA and protein synthesis mechanisms (8 papers), Chromosomal and Genetic Variations (8 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (81 citations) and Molecular Biology (3.0k citations). Karl J. Clark has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Stephen C. Ekker, Perry B. Hackett, Andrew M. Petzold, C. H. Alvin, Scott C. Fahrenkrug, Jeffrey J. Essner, Jarryd M. Campbell, Randall G. Krug, Daniel F. Carlson and Brent Bill. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.