Carme Lluı́s
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.2%
- Physiology top 0.02%
- Pharmacology top 1%
- Neurology top 2%
- Co-authors
- Rafael FrancoSergi FerréVicent CasadóEnric I. CanelaFrancisco CiruelaJosefa MallolKjell FuxéSteven R. Goldberg
- Topics
- Receptor Mechanisms and Signaling (65 papers)Adenosine and Purinergic Signaling (53 papers)Neuroscience and Neuropharmacology Research (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Carme Lluı́s
108 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 4.4k
- Cellular and Molecular Neuroscience 4.2k
- Physiology 2.7k
- Pharmacology 828
- Neurology 676
Countries citing papers authored by Carme Lluı́s
This map shows the geographic impact of Carme Lluı́s'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 Carme Lluı́s with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carme Lluı́s more than expected).
Fields of papers citing papers by Carme Lluı́s
This network shows the impact of papers produced by Carme Lluı́s. 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 Carme Lluı́s. The network helps show where Carme Lluı́s may publish in the future.
Co-authorship network of co-authors of Carme Lluı́s
This figure shows the co-authorship network connecting the top 25 collaborators of Carme Lluı́s. A scholar is included among the top collaborators of Carme Lluı́s 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 Carme Lluı́s. Carme Lluı́s is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 79 | |
| 3 | 59 | |
| 4 | 40 | |
| 5 | 65 | |
| 6 | 65 | |
| 7 | 2 | |
| 8 | 122 | |
| 9 | 24 | |
| 10 | 99 | |
| 11 | 41 | |
| 12 | 64 | |
| 13 | 193 | |
| 14 | 42 | |
| 15 | 33 | |
| 16 | 57 | |
| 17 | Role of CD26-adenosine deaminase interaction in T cell-mediated immunity | 7 |
| 18 | On the nested hierarchical organization of CNS: basic characteristics of neuronal molecular networks | 20 |
| 19 | 66 | |
| 20 | 17 |
About Carme Lluı́s
Carme Lluı́s is a scholar working on Physiology, Cellular and Molecular Neuroscience and Virology, having authored 108 papers that have together received 7.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (65 papers), Adenosine and Purinergic Signaling (53 papers) and Neuroscience and Neuropharmacology Research (28 papers). The work is most often cited by research in Physiology (2.7k citations), Cellular and Molecular Neuroscience (4.2k citations) and Biological Psychiatry (224 citations). Carme Lluı́s has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Rafael Franco, Sergi Ferré, Vicent Casadó, Enric I. Canela, Francisco Ciruela, Josefa Mallol, Kjell Fuxé, Steven R. Goldberg, Luigi F. Agnati and Antoni Cortés. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.