Davide Baù

2.9k citations
26 papers · 1.8k · h-index 17

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics

Papers in

    • Genomics and Chromatin Dynamics 12
    • RNA Research and Splicing 7
    • Protein Structure and Dynamics 4
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 4
    • Chromosomal and Genetic Variations 5

Davide Baù

26 papers receiving 1.7k citations

Peers

Davide Baù
Comparison fields: 5 of 83
  • Molecular Biology 1.3k
  • Microbiology 86
  • Immunology 243
  • Genetics 328
  • Reproductive Medicine 91
Replace Fengfeng Xu with:
Fengfeng Xu United States
Kazuhide Yahata Japan
Kyeong-Ae Kim South Korea
José Elpídio Barbosa Brazil
Jo Beth Harry United States
Jwu‐Sheng Tung United States
J. Dasgupta India
Vel Murugan United States
Nancy C. Kan United States
Palakodeti V.N. Dasaradhi India
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Citations per field
00.5×10×20×30×40×46.3×
Fengfeng Xu · 1×
Citations per year

Countries citing papers authored by Davide Baù

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Davide Baù Line = papers co-authored together Davide Baù links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010234
2 2018230
3 2014218
4 2011211
5 2017185
6 200685
7 201777
8 201267
9 201562
10 201160
11 201153
12 202047
13 201545
14 200941
15 201938
16 201032
17 201529
18 200711
19 20058
20 20208

About Davide Baù

Davide Baù is a scholar working on Molecular Biology, Plant Science, Microbiology, Immunology and Epidemiology, having authored 26 papers that have together received 1.8k 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), Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (4 papers), Reproductive System and Pregnancy (4 papers), RNA and protein synthesis mechanisms (4 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Microbiology (86 citations), Immunology (243 citations), Genetics (328 citations) and Reproductive Medicine (91 citations). Davide Baù has collaborated with scholars based in Spain, United States and Ireland. Frequent co-authors include Marc A. Martı́-Renom, François Serra, Job Dekker, Guillaume J. Filion, Amartya Sanyal, Marta Gonzáléz-Monfort, Iolanda Garcia-Grau, Carlos Simón, Inmaculada Moreno and Felipe Vilella. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Nature Communications, Life Science Alliance, Blood and PLoS Computational Biology.

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.

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