Roberto Serra
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- Gene Regulatory Network Analysis 36
- Bioinformatics and Genomic Networks 15
- Protein Structure and Dynamics 11
-
- Origins and Evolution of Life 22
- Co-authors
- Marco Villani (67 shared papers)Roberto Vettor (22 shared papers)Roberto Fabris (19 shared papers)Salvatore Di Gregorio (9 shared papers)Giovanni Federspil (8 shared papers)Stuart Kauffman (12 shared papers)Massimiliano Olivieri (3 shared papers)Alex Graudenzi (13 shared papers)
- Journals
- Journal of Theoretical Biology (5 papers)Life (3 papers)Blood (3 papers)Parallel Computing (3 papers)Journal of Computational Biology (2 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Roberto Serra
141 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 182
- Physiology 500
- Epidemiology 592
- Infectious Diseases 328
- Endocrinology 82
- Applied Microbiology and Biotechnology 29
Countries citing papers authored by Roberto Serra
This map shows the geographic impact of Roberto Serra'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 Roberto Serra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Serra more than expected).
Fields of papers citing papers by Roberto Serra
This network shows the impact of papers produced by Roberto Serra. 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 Roberto Serra. The network helps show where Roberto Serra may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Serra, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 259 | |
| 2 | 2017 | 184 | |
| 3 | 2014 | 143 | |
| 4 | 2020 | 137 | |
| 5 | 1999 | 122 | |
| 6 | 2014 | 102 | |
| 7 | 2020 | 98 | |
| 8 | 2004 | 93 | |
| 9 | 2004 | 88 | |
| 10 | 2013 | 79 | |
| 11 | 2006 | 74 | |
| 12 | 1998 | 71 | |
| 13 | 2007 | 70 | |
| 14 | 2001 | 67 | |
| 15 | 2012 | 66 | |
| 16 | 2005 | 65 | |
| 17 | 1990 | 64 | |
| 18 | 2010 | 60 | |
| 19 | 2017 | 58 | |
| 20 | 2019 | 58 |
About Roberto Serra
Roberto Serra is a scholar working on Molecular Biology, Astronomy and Astrophysics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Epidemiology, having authored 149 papers that have together received 3.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (36 papers), Origins and Evolution of Life (22 papers), Cellular Automata and Applications (15 papers), Bioinformatics and Genomic Networks (15 papers), Protein Structure and Dynamics (11 papers), Photoreceptor and optogenetics research (11 papers), Adipose Tissue and Metabolism (9 papers) and Evolution and Genetic Dynamics (7 papers). The work is most often cited by research in Physiology (500 citations), Epidemiology (592 citations), Infectious Diseases (328 citations), Endocrinology (82 citations) and Applied Microbiology and Biotechnology (29 citations). Roberto Serra has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Marco Villani, Roberto Vettor, Roberto Fabris, Salvatore Di Gregorio, Giovanni Federspil, Stuart Kauffman, Massimiliano Olivieri, Alex Graudenzi, Marco Rossato and Claudio Pagano. Their work appears in journals such as Journal of Theoretical Biology, Life, Blood, Parallel Computing and Journal of 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.