Daniel Remondini
Impact in
- Aging top 2%
- Biophysics top 1%
- Electromagnetic Fields and Biological Effects
Papers in
-
- Bioinformatics and Genomic Networks 22
- Gene Regulatory Network Analysis 15
- Genomics and Phylogenetic Studies 9
- Gene expression and cancer classification 7
- Protein Degradation and Inhibitors 6
- Biophysics 11
- Electromagnetic Fields and Biological Effects 8
- Co-authors
- Gastone Castellani (72 shared papers)Claudia Sala (12 shared papers)Enrico Giampieri (25 shared papers)Luciano Milanesi (9 shared papers)Francesco Durazzi (8 shared papers)Gerardo Manfreda (4 shared papers)Alessandra De Cesare (4 shared papers)Matteo Bersanelli (5 shared papers)
- Journals
- Scientific Reports (13 papers)BMC Bioinformatics (8 papers)Blood (5 papers)PLoS ONE (5 papers)Nature Communications (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniel Remondini
149 papers receiving 4.1k citations
Daniel Remondini's Hit Papers
Peers
Comparison fields: 5 of 188
- Aging 132
- Biophysics 334
- Molecular Biology 2.0k
- Hematology 271
- Cancer Research 318
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 155 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 | 389 |
| 2 | 2016 | 345 | |
| 3 | 2012 | 180 | |
| 4 | 2021 | 167 | |
| 5 | 2014 | 164 | |
| 6 | 2014 | 128 | |
| 7 | 2020 | 120 | |
| 8 | 2009 | 112 | |
| 9 | 2016 | 92 | |
| 10 | 2013 | 91 | |
| 11 | 2014 | 90 | |
| 12 | 2004 | 82 | |
| 13 | 2006 | 76 | |
| 14 | 2004 | 71 | |
| 15 | 2010 | 70 | |
| 16 | 2017 | 68 | |
| 17 | 2019 | 59 | |
| 18 | 2006 | 55 | |
| 19 | 2022 | 52 | |
| 20 | 2016 | 52 |
About Daniel Remondini
Daniel Remondini is a scholar working on Molecular Biology, Biophysics, Hematology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 155 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (22 papers), Gene Regulatory Network Analysis (15 papers), Genomics and Phylogenetic Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Electromagnetic Fields and Biological Effects (8 papers), Multiple Myeloma Research and Treatments (7 papers), Gene expression and cancer classification (7 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Aging (132 citations), Biophysics (334 citations), Molecular Biology (2.0k citations), Hematology (271 citations) and Cancer Research (318 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, Blood, PLoS ONE 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.