Margaret de Cuevas
- Aging top 2%
- Cell Biology top 2%
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 2
- Cellular Mechanics and Interactions 2
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
- Animal Genetics and Reproduction 3
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 11
- Reproductive Medicine top 5%
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- Neurobiology and Insect Physiology Research 6
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- Invertebrate Immune Response Mechanisms 5
- Co-authors
- Allan C. SpradlingErika MatunisMary A. LillyMelissa E. PeplingNicole C. GriederJohn K. LeePaul R. BillingsMelvin A. Kohn
- Cited by
- AgingCell BiologyGenetics
- Partner nations
- United StatesSwitzerland
In The Last Decade
Margaret de Cuevas
19 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 106
- Aging 147
- Cell Biology 585
- Genetics 653
- Molecular Biology 1.4k
- Reproductive Medicine 165
Countries citing papers authored by Margaret de Cuevas
This map shows the geographic impact of Margaret de Cuevas'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 Margaret de Cuevas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret de Cuevas more than expected).
Fields of papers citing papers by Margaret de Cuevas
This network shows the impact of papers produced by Margaret de Cuevas. 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 Margaret de Cuevas. The network helps show where Margaret de Cuevas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margaret de Cuevas, 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 | 2022 | 3 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 7 | |
| 4 | 2016 | 13 | |
| 5 | 2015 | 67 | |
| 6 | 2014 | 27 | |
| 7 | 2012 | 51 | |
| 8 | 2011 | 179 | |
| 9 | 2009 | 134 | |
| 10 | 2000 | 83 | |
| 11 | 2000 | 223 | |
| 12 | 1999 | 212 | |
| 13 | 1998 | 298 | |
| 14 | 1997 | 16 | |
| 15 | 1997 | 247 | |
| 16 | 1997 | 77 | |
| 17 | 1996 | 176 | |
| 18 | Discrimination as a consequence of genetic testing. | 1992 | 330 |
| 19 | 1992 | 89 |
About Margaret de Cuevas
Margaret de Cuevas is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Neurobiology and Insect Physiology Research (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Microtubule and mitosis dynamics (4 papers), Animal Genetics and Reproduction (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Aging (147 citations), Cell Biology (585 citations) and Genetics (653 citations). Margaret de Cuevas has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Allan C. Spradling, Erika Matunis, Mary A. Lilly, Melissa E. Pepling, Nicole C. Grieder, John K. Lee, Paul R. Billings, Melvin A. Kohn, Jon Beckwith and Marvin R. Natowicz. Their work appears in journals such as Science, The Journal of Cell Biology and Development.
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.