Diego Carrella
Impact in
-
- MicroRNA in disease regulation
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in ⓘ
-
- Metabolism and Genetic Disorders 2
-
- Bioinformatics and Genomic Networks 3
- Advanced biosensing and bioanalysis techniques 2
- RNA regulation and disease 2
- Co-authors
- Diego di Bernardo (17 shared papers)Francesco Napolitano (8 shared papers)Francesco Sirci (7 shared papers)Annamaria Carissimo (5 shared papers)Margherita Mutarelli (4 shared papers)Sandro Banfi (3 shared papers)Michele Pinelli (3 shared papers)Luisa Cutillo (2 shared papers)
- Journals
- Bioinformatics (4 papers)Nature Communications (3 papers)Scientific Reports (2 papers)BMC Genomics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Diego Carrella
18 papers receiving 635 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 105
- Clinical Biochemistry 47
- Computational Theory and Mathematics 107
- Molecular Biology 397
- Ophthalmology 38
Countries citing papers authored by Diego Carrella
This map shows the geographic impact of Diego Carrella'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 Diego Carrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Carrella more than expected).
Fields of papers citing papers by Diego Carrella
This network shows the impact of papers produced by Diego Carrella. 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 Diego Carrella. The network helps show where Diego Carrella may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Carrella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2020 | 81 | |
| 3 | 2016 | 77 | |
| 4 | 2014 | 59 | |
| 5 | 2017 | 54 | |
| 6 | 2015 | 49 | |
| 7 | 2016 | 49 | |
| 8 | 2018 | 45 | |
| 9 | 2016 | 34 | |
| 10 | 2015 | 21 | |
| 11 | 2014 | 16 | |
| 12 | 2017 | 15 | |
| 13 | 2016 | 12 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 1 |
About Diego Carrella
Diego Carrella is a scholar working on Clinical Biochemistry, Molecular Biology, Computational Theory and Mathematics, Cell Biology and Biophysics, having authored 18 papers that have together received 639 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (4 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), Cellular transport and secretion (3 papers), Metabolism and Genetic Disorders (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA regulation and disease (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Cancer Research (105 citations), Clinical Biochemistry (47 citations), Computational Theory and Mathematics (107 citations), Molecular Biology (397 citations) and Ophthalmology (38 citations). Diego Carrella has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Diego di Bernardo, Francesco Napolitano, Francesco Sirci, Annamaria Carissimo, Margherita Mutarelli, Sandro Banfi, Michele Pinelli, Luisa Cutillo, Stefano Ferrari and Marianthi Karali. Their work appears in journals such as Bioinformatics, Nature Communications, Scientific Reports, BMC Genomics and Nucleic Acids Research.
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.