Isabel M. Palacios
- Cell Biology top 2%
- Cellular Mechanics and Interactions 7
- Microtubule and mitosis dynamics 5
- Hippo pathway signaling and YAP/TAZ 5
- Aging top 5%
- Molecular Biology top 5%
- RNA Research and Splicing 16
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 5
- Developmental Biology and Gene Regulation 5
- Nuclear Structure and Function 4
- Condensed Matter Physics top 10%
- Plant Science top 10%
- Co-authors
- Daniel St JohnstonDavid GatfieldElisa IzaurraldeIain W. MattajRichard BentonS. GangulyRaymond E. GoldsteinMark Petronczki
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Isabel M. Palacios
34 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 494
- Aging 42
- Molecular Biology 1.6k
- Condensed Matter Physics 71
- Plant Science 182
Countries citing papers authored by Isabel M. Palacios
This map shows the geographic impact of Isabel M. Palacios'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 Isabel M. Palacios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel M. Palacios more than expected).
Fields of papers citing papers by Isabel M. Palacios
This network shows the impact of papers produced by Isabel M. Palacios. 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 Isabel M. Palacios. The network helps show where Isabel M. Palacios may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabel M. Palacios, 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 | 2023 | 5 | |
| 2 | 2020 | 0 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 3 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 44 | |
| 8 | 2016 | 18 | |
| 9 | 2014 | 18 | |
| 10 | DROSOPHILA IN BIOMEDICAL RESEARCH: AFFORDABLE AND IMPACTING | 2013 | 1 |
| 11 | 2011 | 55 | |
| 12 | 2007 | 88 | |
| 13 | 2004 | 294 | |
| 14 | 2002 | 164 | |
| 15 | 2002 | 47 | |
| 16 | 2002 | 119 | |
| 17 | 2001 | 120 | |
| 18 | Changes in the pattern of fibronectin mRNA alternative splicing in acute experimental mesangioproliferative nephritis. | 1999 | 7 |
| 19 | 1997 | 11 | |
| 20 | 1997 | 122 |
About Isabel M. Palacios
Isabel M. Palacios is a scholar working on Cell Biology, Aging and Molecular Biology, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (16 papers), Cellular Mechanics and Interactions (7 papers), RNA and protein synthesis mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers), RNA modifications and cancer (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Developmental Biology and Gene Regulation (5 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Cell Biology (494 citations), Aging (42 citations) and Molecular Biology (1.6k citations). Isabel M. Palacios has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Daniel St Johnston, David Gatfield, Elisa Izaurralde, Iain W. Mattaj, Richard Benton, S. Ganguly, Raymond E. Goldstein, Mark Petronczki, Fredericus J. M. van Eeden and Karsten Weis. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.