Felice-Alessio Bava

2.8k citations
13 papers · 1.8k indexed · 1 hit paper · h-index 11
Topics
Single-cell and spatial transcriptomics (4 papers)RNA modifications and cancer (3 papers)RNA Research and Splicing (3 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Felice-Alessio Bava

13 papers receiving 1.8k citations

Hit Papers

Three-dimensional intact-tissue sequencing of single-cell...20182026202020232018250500750

Peers

Felice-Alessio Bava
Comparison fields: 5 of 115
  • Molecular Biology 1.5k
  • Biophysics 270
  • Cancer Research 241
  • Immunology 232
  • Biomedical Engineering 164
Replace Jina Yun with:
Jina Yun United States
Derek Peters United States
Je Hyuk Lee United States
Yodai Takei United States
Caitlin Bourque United States
Michael Dovey United States
Dave Gennert United States
John G. Lock Australia
Alon Goren United States
Jason M. Haugh United States
Felice-Alessio Bava relative to Jina Yun United States Jina Yun's profile →
Citations per field
00.5×10×15.3×
Jina Yun · 1×
Citations per year

Countries citing papers authored by Felice-Alessio Bava

Since Specialization
Citations

This map shows the geographic impact of Felice-Alessio Bava'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 Felice-Alessio Bava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felice-Alessio Bava more than expected).

Fields of papers citing papers by Felice-Alessio Bava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felice-Alessio Bava. 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 Felice-Alessio Bava. The network helps show where Felice-Alessio Bava may publish in the future.

Co-authorship network of co-authors of Felice-Alessio Bava

This figure shows the co-authorship network connecting the top 25 collaborators of Felice-Alessio Bava. A scholar is included among the top collaborators of Felice-Alessio Bava 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 Felice-Alessio Bava. Felice-Alessio Bava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2 52
3 17
4 2
5
Three-dimensional intact-tissue sequencing of single-cell transcriptional statesbreakdown →
941
6 10
7 13
8 260
9 72
10 24
11 128
12 251
13 38

About Felice-Alessio Bava

Felice-Alessio Bava is a scholar working on Biophysics, Genetics and Molecular Biology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Biophysics (270 citations), Molecular Biology (1.5k citations) and Cancer Research (241 citations). Felice-Alessio Bava has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Garry P. Nolan, Raúl Méndez, Nikolay Samusik, Matthew A. Wright, Xiao Wang, William E. Allen, Jia Liu, Charu Ramakrishnan, Karl Deisseroth and Kathryn E. Evans. Their work appears in journals such as Nature, Science 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.

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