Daniel Remondini
Impact in
- Aging top 2%
- Biophysics top 1%
- Electromagnetic Fields and Biological Effects
Papers in
-
- Bioinformatics and Genomic Networks 21
- Gene Regulatory Network Analysis 17
- Genomics and Phylogenetic Studies 8
- Gene expression and cancer classification 8
- Epigenetics and DNA Methylation 6
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- Radiomics and Machine Learning in Medical Imaging 8
- Co-authors
- Gastone Castellani (66 shared papers)Claudia Sala (12 shared papers)Enrico Giampieri (23 shared papers)Luciano Milanesi (9 shared papers)Francesco Durazzi (6 shared papers)Gerardo Manfreda (4 shared papers)Alessandra De Cesare (2 shared papers)Matteo Bersanelli (5 shared papers)
- Journals
- Scientific Reports (11 papers)BMC Bioinformatics (8 papers)PLoS ONE (5 papers)International Journal of Molecular Sciences (4 papers)Bioelectromagnetics (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniel Remondini
118 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Aging 115
- Biophysics 309
- Molecular Biology 1.6k
- Cancer Research 245
- Physiology 312
Countries citing papers authored by Daniel Remondini
This map shows the geographic impact of Daniel Remondini'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 Daniel Remondini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Remondini more than expected).
Fields of papers citing papers by Daniel Remondini
This network shows the impact of papers produced by Daniel Remondini. 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 Daniel Remondini. The network helps show where Daniel Remondini may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Remondini, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota Hit paper breakdown → | 2021 | 328 |
| 2 | 2016 | 290 | |
| 3 | 2012 | 152 | |
| 4 | 2014 | 139 | |
| 5 | 2014 | 114 | |
| 6 | 2009 | 102 | |
| 7 | 2013 | 83 | |
| 8 | 2016 | 81 | |
| 9 | 2006 | 76 | |
| 10 | 2004 | 76 | |
| 11 | 2004 | 71 | |
| 12 | 2017 | 65 | |
| 13 | 2010 | 61 | |
| 14 | 2019 | 55 | |
| 15 | 2006 | 55 | |
| 16 | 2020 | 46 | |
| 17 | 2022 | 46 | |
| 18 | 2015 | 46 | |
| 19 | 2018 | 45 | |
| 20 | 2003 | 42 |
About Daniel Remondini
Daniel Remondini is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Oncology, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (21 papers), Gene Regulatory Network Analysis (17 papers), Genomics and Phylogenetic Studies (8 papers), Electromagnetic Fields and Biological Effects (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Gene expression and cancer classification (8 papers), Epigenetics and DNA Methylation (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Aging (115 citations), Biophysics (309 citations), Molecular Biology (1.6k citations), Cancer Research (245 citations) and Physiology (312 citations). Daniel Remondini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gastone Castellani, Claudia Sala, Enrico Giampieri, Luciano Milanesi, Francesco Durazzi, Gerardo Manfreda, Alessandra De Cesare, Matteo Bersanelli, Ettore Mosca and Giulia Menichetti. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, PLoS ONE, International Journal of Molecular Sciences and Bioelectromagnetics.
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.