Marc Güell
Impact in
- Aging top 0.2%
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 18
- RNA and protein synthesis mechanisms 11
- Genetics 14
- Bacterial Genetics and Biotechnology 7
- Animal Genetics and Reproduction 6
- Co-authors
- George M. Church (8 shared papers)Luhan Yang (3 shared papers)John Aach (4 shared papers)Prashant Mali (3 shared papers)Julie E. Norville (2 shared papers)Kevin M. Esvelt (1 shared paper)Luís Serrano (5 shared papers)Tobias Maier (2 shared papers)
- Journals
- Science (5 papers)Nature Biotechnology (3 papers)Genome Research (2 papers)Molecular Systems Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Marc Güell
38 papers receiving 11.6k citations
Marc Güell's Hit Papers
Peers
Comparison fields: 5 of 165
- Aging 603
- Business and International Management 647
- Molecular Biology 9.5k
- Genetics 2.6k
- Insect Science 490
Countries citing papers authored by Marc Güell
This map shows the geographic impact of Marc Güell'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 Marc Güell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Güell more than expected).
Fields of papers citing papers by Marc Güell
This network shows the impact of papers produced by Marc Güell. 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 Marc Güell. The network helps show where Marc Güell may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Güell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA-Guided Human Genome Engineering via Cas9 Hit paper breakdown → | 2013 | 7343 |
| 2 | Correlation of mRNA and protein in complex biological samples Hit paper breakdown → | 2009 | 1414 |
| 3 | Inactivation of porcine endogenous retrovirus in pigs using CRISPR-Cas9 Hit paper breakdown → | 2017 | 542 |
| 4 | Genome-wide inactivation of porcine endogenous retroviruses (PERVs) Hit paper breakdown → | 2015 | 441 |
| 5 | 2009 | 337 | |
| 6 | 2013 | 315 | |
| 7 | 2011 | 236 | |
| 8 | 2016 | 217 | |
| 9 | 2014 | 123 | |
| 10 | 2021 | 117 | |
| 11 | 2011 | 107 | |
| 12 | 2019 | 96 | |
| 13 | 2021 | 75 | |
| 14 | 2010 | 70 | |
| 15 | 2016 | 63 | |
| 16 | 2020 | 48 | |
| 17 | 2012 | 37 | |
| 18 | 2017 | 36 | |
| 19 | 2019 | 36 | |
| 20 | 2021 | 32 |
About Marc Güell
Marc Güell is a scholar working on Molecular Biology, Genetics, Dermatology, Ecology and Surgery, having authored 42 papers that have together received 11.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), RNA and protein synthesis mechanisms (11 papers), Dermatology and Skin Diseases (7 papers), Bacterial Genetics and Biotechnology (7 papers), Animal Genetics and Reproduction (6 papers), Acne and Rosacea Treatments and Effects (5 papers), Bacteriophages and microbial interactions (5 papers) and Xenotransplantation and immune response (3 papers). The work is most often cited by research in Aging (603 citations), Business and International Management (647 citations), Molecular Biology (9.5k citations), Genetics (2.6k citations) and Insect Science (490 citations). Marc Güell has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include George M. Church, Luhan Yang, John Aach, Prashant Mali, Julie E. Norville, Kevin M. Esvelt, Luís Serrano, Tobias Maier, Ellen Shrock and Luhan Yang. Their work appears in journals such as Science, Nature Biotechnology, Genome Research, Molecular Systems Biology 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.