Daniele De Marchi
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 21
- Hematology top 1%
- Iron Metabolism and Disorders 17
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- Cardiovascular Function and Risk Factors 12
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- Advanced MRI Techniques and Applications 43
- Cardiac Imaging and Diagnostics 16
- Biophysics top 5%
- Electron Spin Resonance Studies 13
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- Advanced NMR Techniques and Applications 26
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- Atomic and Subatomic Physics Research 9
- Co-authors
- Massimo LombardiVincenzo PositanoAlessia PepeLuigi LandiniMassimo MidiriMaria Filomena SantarelliAlessandro PingitoreAurelio Maggio
- Partner nations
- ItalyDenmarkUnited States
In The Last Decade
Daniele De Marchi
97 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Genetics 882
- Hematology 754
- Cardiology and Cardiovascular Medicine 748
- Radiology, Nuclear Medicine and Imaging 668
- Biophysics 108
Countries citing papers authored by Daniele De Marchi
This map shows the geographic impact of Daniele De Marchi'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 Daniele De Marchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele De Marchi more than expected).
Fields of papers citing papers by Daniele De Marchi
This network shows the impact of papers produced by Daniele De Marchi. 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 Daniele De Marchi. The network helps show where Daniele De Marchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniele De Marchi, 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 | 2021 | 17 | |
| 2 | 2020 | 0 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 41 | |
| 5 | 2018 | 5 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 29 | |
| 9 | 2014 | 17 | |
| 10 | 2014 | 19 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 103 | |
| 13 | 2011 | 22 | |
| 14 | 2011 | 30 | |
| 15 | 2010 | 21 | |
| 16 | 2009 | 67 | |
| 17 | 2009 | 20 | |
| 18 | Standardized T2* Map of Normal Human Heart in Vivo To Correct T2* Segmental Artifacts: a multislace, multiecho T2* approach for cardiac iron overloaded patients | 2007 | 5 |
| 19 | 2007 | 119 | |
| 20 | 2005 | 120 |
About Daniele De Marchi
Daniele De Marchi is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (43 papers), Advanced NMR Techniques and Applications (26 papers), Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (17 papers), Cardiac Imaging and Diagnostics (16 papers), Electron Spin Resonance Studies (13 papers), Cardiovascular Function and Risk Factors (12 papers) and Atomic and Subatomic Physics Research (9 papers). The work is most often cited by research in Genetics (882 citations), Hematology (754 citations) and Cardiology and Cardiovascular Medicine (748 citations). Daniele De Marchi has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include Massimo Lombardi, Vincenzo Positano, Alessia Pepe, Luigi Landini, Massimo Midiri, Maria Filomena Santarelli, Alessandro Pingitore, Aurelio Maggio, Eliana Cracolici and Giovanni Donato Aquaro. Their work appears in journals such as Blood, Journal of the American College of Cardiology and PLoS ONE.
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.