Moira Cockell
Impact in
- Aging top 2%
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in ⓘ
-
- Genomics and Chromatin Dynamics 7
- CRISPR and Genetic Engineering 5
- Fungal and yeast genetics research 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- Susan M. Gasser (10 shared papers)Peter K. Wellauer (3 shared papers)Otto Hagenbüchle (3 shared papers)Daniela Rhodes (2 shared papers)Michel Strubin (2 shared papers)Brian J. Stevenson (2 shared papers)Francesca Palladino (2 shared papers)A. Klug (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Current Biology (2 papers)Eukaryotic Cell (2 papers)The Journal of Cell Biology (1 paper)Gene (1 paper)
- Partner nations
- SwitzerlandUnited KingdomNetherlands
In The Last Decade
Moira Cockell
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Aging 93
- Geriatrics and Gerontology 133
- Molecular Biology 991
- Physiology 37
- Genetics 172
Countries citing papers authored by Moira Cockell
This map shows the geographic impact of Moira Cockell'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 Moira Cockell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moira Cockell more than expected).
Fields of papers citing papers by Moira Cockell
This network shows the impact of papers produced by Moira Cockell. 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 Moira Cockell. The network helps show where Moira Cockell may publish in the future.
Co-authors
The 25 scholars most cited alongside Moira Cockell, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 217 | |
| 2 | 1999 | 200 | |
| 3 | 1995 | 155 | |
| 4 | 1989 | 124 | |
| 5 | 2009 | 93 | |
| 6 | 1983 | 76 | |
| 7 | 2004 | 54 | |
| 8 | 1995 | 54 | |
| 9 | 2000 | 53 | |
| 10 | 1999 | 37 | |
| 11 | 1989 | 37 | |
| 12 | 1998 | 32 | |
| 13 | 1998 | 32 | |
| 14 | 2007 | 17 | |
| 15 | 2008 | 16 | |
| 16 | 1994 | 15 | |
| 17 | 1997 | 10 | |
| 18 | 2008 | 10 | |
| 19 | 2006 | 10 | |
| 20 | 2007 | 5 |
About Moira Cockell
Moira Cockell is a scholar working on Molecular Biology, Surgery, Epidemiology, Genetics and Plant Science, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), CRISPR and Genetic Engineering (5 papers), Fungal and yeast genetics research (4 papers), Pancreatic function and diabetes (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Aging (93 citations), Geriatrics and Gerontology (133 citations), Molecular Biology (991 citations), Physiology (37 citations) and Genetics (172 citations). Moira Cockell has collaborated with scholars based in Switzerland, United Kingdom and Netherlands. Frequent co-authors include Susan M. Gasser, Peter K. Wellauer, Otto Hagenbüchle, Daniela Rhodes, Michel Strubin, Brian J. Stevenson, Francesca Palladino, A. Klug, Thierry Laroche and Arthur J. Lustig. Their work appears in journals such as Molecular and Cellular Biology, Current Biology, Eukaryotic Cell, The Journal of Cell Biology and Gene.
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.