Davide Baù
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Microbiology top 5%
Papers in
-
- Genomics and Chromatin Dynamics 12
- RNA Research and Splicing 7
- Genomics and Phylogenetic Studies 4
- Protein Structure and Dynamics 4
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Marc A. Martı́-Renom (15 shared papers)François Serra (4 shared papers)Job Dekker (6 shared papers)Guillaume J. Filion (2 shared papers)Amartya Sanyal (2 shared papers)Inmaculada Moreno (4 shared papers)Felipe Vilella (4 shared papers)Marta Gonzáléz-Monfort (4 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (2 papers)FEBS Letters (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)Cell Reports (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Davide Baù
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Microbiology 111
- Reproductive Medicine 141
- Immunology 282
- Genetics 338
Countries citing papers authored by Davide Baù
This map shows the geographic impact of Davide Baù'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 Davide Baù with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Baù more than expected).
Fields of papers citing papers by Davide Baù
This network shows the impact of papers produced by Davide Baù. 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 Davide Baù. The network helps show where Davide Baù may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Baù, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 222 | |
| 2 | 2018 | 214 | |
| 3 | 2014 | 211 | |
| 4 | 2011 | 202 | |
| 5 | 2017 | 180 | |
| 6 | 2006 | 76 | |
| 7 | 2017 | 74 | |
| 8 | 2012 | 64 | |
| 9 | 2015 | 58 | |
| 10 | 2011 | 56 | |
| 11 | 2011 | 51 | |
| 12 | 2020 | 45 | |
| 13 | 2015 | 45 | |
| 14 | 2019 | 37 | |
| 15 | 2009 | 35 | |
| 16 | 2010 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2005 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 6 |
About Davide Baù
Davide Baù is a scholar working on Molecular Biology, Plant Science, Microbiology, Immunology and Materials Chemistry, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (7 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Phylogenetic Studies (4 papers), Protein Structure and Dynamics (4 papers), Reproductive System and Pregnancy (4 papers), Enzyme Structure and Function (4 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Microbiology (111 citations), Reproductive Medicine (141 citations), Immunology (282 citations) and Genetics (338 citations). Davide Baù has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Marc A. Martı́-Renom, François Serra, Job Dekker, Guillaume J. Filion, Amartya Sanyal, Inmaculada Moreno, Felipe Vilella, Marta Gonzáléz-Monfort, Iolanda Garcia-Grau and Carlos Simón. Their work appears in journals such as American Journal of Obstetrics and Gynecology, FEBS Letters, Nature Communications, BMC Bioinformatics and Cell Reports.
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.