Margarida Ruas
- Physiology top 0.05%
- Molecular Biology top 5%
- Sensory Systems top 0.5%
- Oncology top 5%
- Cell Biology top 2%
- Co-authors
- Gordon PetersJohn ParringtonKatja RietdorfMichael X. ZhuLianne C. DavisAbdelilah ArredouaniAnthony J. MorganXiaotong Cheng
- Topics
- Calcium signaling and nucleotide metabolism (21 papers)Ion Channels and Receptors (10 papers)Adenosine and Purinergic Signaling (5 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Margarida Ruas
34 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Physiology 1.7k
- Molecular Biology 1.3k
- Sensory Systems 854
- Oncology 612
- Cell Biology 518
Countries citing papers authored by Margarida Ruas
This map shows the geographic impact of Margarida Ruas'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 Margarida Ruas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margarida Ruas more than expected).
Fields of papers citing papers by Margarida Ruas
This network shows the impact of papers produced by Margarida Ruas. 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 Margarida Ruas. The network helps show where Margarida Ruas may publish in the future.
Co-authorship network of co-authors of Margarida Ruas
This figure shows the co-authorship network connecting the top 25 collaborators of Margarida Ruas. A scholar is included among the top collaborators of Margarida Ruas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margarida Ruas. Margarida Ruas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PLC zeta is the physiological trigger of the Ca2+ oscillations that induce embryogenesis in mammals but conception can occur in its absence | 3 |
| 2 | 122 | |
| 3 | 26 | |
| 4 | 65 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 38 | |
| 9 | 1 | |
| 10 | 74 | |
| 11 | 45 | |
| 12 | 189 | |
| 13 | 234 | |
| 14 | NAADP mobilizes calcium from acidic organelles through two-pore channelsbreakdown → | 621 |
| 15 | 55 | |
| 16 | 48 | |
| 17 | 58 | |
| 18 | The p16INK4a/CDKN2A tumor suppressor and its relativesbreakdown → | 733 |
| 19 | 74 | |
| 20 | 10 |
About Margarida Ruas
Margarida Ruas is a scholar working on Physiology, Sensory Systems and Toxicology, having authored 34 papers that have together received 3.5k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (21 papers), Ion Channels and Receptors (10 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Physiology (1.7k citations), Sensory Systems (854 citations) and Reproductive Medicine (378 citations). Margarida Ruas has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Gordon Peters, John Parrington, Katja Rietdorf, Michael X. Zhu, Lianne C. Davis, Abdelilah Arredouani, Anthony J. Morgan, Xiaotong Cheng, Lydia Teboul and Grant C. Churchill. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.