Felipe Cava
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
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- Vibrio bacteria research studies 32
-
- Antibiotic Resistance in Bacteria 35
- Co-authors
- Miguel Angel de Pedro (22 shared papers)Matthew K. Waldor (16 shared papers)Hubert Kin Bong Lam (6 shared papers)Laura Álvarez (34 shared papers)José Berenguer (22 shared papers)Sara B. Hernández (16 shared papers)Yves V. Brun (9 shared papers)Erkin Kuru (8 shared papers)
- Journals
- mBio (15 papers)Frontiers in Microbiology (10 papers)Journal of Bacteriology (9 papers)Proceedings of the National Academy of Sciences (7 papers)Nature Communications (7 papers)
- Partner nations
- SwedenUnited StatesSpain
In The Last Decade
Felipe Cava
158 papers receiving 7.1k citations
Felipe Cava's Hit Papers
Peers
Comparison fields: 5 of 147
- Endocrinology 879
- Molecular Medicine 806
- Biochemistry 657
- Genetics 1.8k
- Ecology 1.7k
Countries citing papers authored by Felipe Cava
This map shows the geographic impact of Felipe Cava'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 Felipe Cava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Cava more than expected).
Fields of papers citing papers by Felipe Cava
This network shows the impact of papers produced by Felipe Cava. 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 Felipe Cava. The network helps show where Felipe Cava may publish in the future.
Co-authors
The 25 scholars most cited alongside Felipe Cava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In Situ Probing of Newly Synthesized Peptidoglycan in Live Bacteria with Fluorescent D ‐Amino Acids Hit paper breakdown → | 2012 | 570 |
| 2 | 2009 | 526 | |
| 3 | 2010 | 343 | |
| 4 | 2011 | 237 | |
| 5 | 2015 | 223 | |
| 6 | 2017 | 220 | |
| 7 | 2012 | 218 | |
| 8 | 2016 | 186 | |
| 9 | 2020 | 174 | |
| 10 | 2009 | 159 | |
| 11 | 2018 | 158 | |
| 12 | 2019 | 154 | |
| 13 | 2015 | 138 | |
| 14 | 2019 | 124 | |
| 15 | 2017 | 123 | |
| 16 | 2009 | 112 | |
| 17 | 2020 | 98 | |
| 18 | 2019 | 88 | |
| 19 | 2013 | 87 | |
| 20 | 2018 | 82 |
About Felipe Cava
Felipe Cava is a scholar working on Endocrinology, Molecular Medicine, Genetics, Biochemistry and Molecular Biology, having authored 161 papers that have together received 7.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (70 papers), Antibiotic Resistance in Bacteria (35 papers), Vibrio bacteria research studies (32 papers), Bacteriophages and microbial interactions (29 papers), Amino Acid Enzymes and Metabolism (28 papers), Enzyme Structure and Function (21 papers), Genomics and Phylogenetic Studies (20 papers) and Probiotics and Fermented Foods (16 papers). The work is most often cited by research in Endocrinology (879 citations), Molecular Medicine (806 citations), Biochemistry (657 citations), Genetics (1.8k citations) and Ecology (1.7k citations). Felipe Cava has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Miguel Angel de Pedro, Matthew K. Waldor, Hubert Kin Bong Lam, Laura Álvarez, José Berenguer, Sara B. Hernández, Yves V. Brun, Erkin Kuru, Alena Aliashkevich and Michael S. VanNieuwenhze. Their work appears in journals such as mBio, Frontiers in Microbiology, Journal of Bacteriology, 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.