Miguel Cámara
- Molecular Biology top 0.2%
- Genetics top 0.2%
- Molecular Medicine top 0.05%
- Endocrinology top 0.05%
- Ecology top 1%
- Co-authors
- Paul WilliamsSiri Ram ChhabraStephen P. DiggleKlaus WinzerBarrie W. BycroftStephan HeebMavis DaykinMatthew P. Fletcher
- Topics
- Bacterial biofilms and quorum sensing (122 papers)Bacterial Genetics and Biotechnology (56 papers)Antibiotic Resistance in Bacteria (34 papers)
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Miguel Cámara
170 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 11.1k
- Genetics 3.7k
- Molecular Medicine 2.9k
- Endocrinology 2.5k
- Ecology 1.9k
Countries citing papers authored by Miguel Cámara
This map shows the geographic impact of Miguel Cámara'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 Miguel Cámara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Cámara more than expected).
Fields of papers citing papers by Miguel Cámara
This network shows the impact of papers produced by Miguel Cámara. 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 Miguel Cámara. The network helps show where Miguel Cámara may publish in the future.
Co-authorship network of co-authors of Miguel Cámara
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Cámara. A scholar is included among the top collaborators of Miguel Cámara 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 Miguel Cámara. Miguel Cámara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 46 | |
| 13 | 121 | |
| 14 | 8 | |
| 15 | Evolution de la résistance aux antibiotiques des Escherichia coli uropathogènes communautaires (2003-2013) | 0 |
| 16 | 125 | |
| 17 | 244 | |
| 18 | An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing. | 13 |
| 19 | 491 | |
| 20 | Inmunodetección de una exopoligacturonasa en plantas de tomate infectadas por Fusarium oxysporum f.sp. radicis lycopersici | 2 |
About Miguel Cámara
Miguel Cámara is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 176 papers that have together received 14.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (122 papers), Bacterial Genetics and Biotechnology (56 papers) and Antibiotic Resistance in Bacteria (34 papers). The work is most often cited by research in Molecular Medicine (2.9k citations), Endocrinology (2.5k citations) and Microbiology (1.4k citations). Miguel Cámara has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Paul Williams, Siri Ram Chhabra, Stephen P. Diggle, Klaus Winzer, Barrie W. Bycroft, Stephan Heeb, Mavis Daykin, Matthew P. Fletcher, Michael K. Winson and Gordon S.A.B. Stewart. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.