Daniele Procissi
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Immunology top 10%
Papers in
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- MRI in cancer diagnosis 8
- Advanced MRI Techniques and Applications 8
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- Magnetism in coordination complexes 14
- Co-authors
- Russell E. Jacobs (6 shared papers)Maria Virginia Centeno (6 shared papers)A. Vania Apkarian (6 shared papers)Andrew C. Larson (18 shared papers)Zhuoli Zhang (19 shared papers)Alex T. Baria (3 shared papers)Yibao Wu (2 shared papers)Reed A. Omary (13 shared papers)
- Journals
- Journal of Applied Physics (5 papers)Physical Review B (5 papers)Pain (4 papers)Cell Reports (3 papers)NeuroImage (3 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Daniele Procissi
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 386
- Immunology 276
- Cellular and Molecular Neuroscience 213
- Biomaterials 152
- Physiology 294
Countries citing papers authored by Daniele Procissi
This map shows the geographic impact of Daniele Procissi'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 Procissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Procissi more than expected).
Fields of papers citing papers by Daniele Procissi
This network shows the impact of papers produced by Daniele Procissi. 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 Procissi. The network helps show where Daniele Procissi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniele Procissi, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 199 | |
| 2 | 2017 | 167 | |
| 3 | 2014 | 136 | |
| 4 | 2019 | 74 | |
| 5 | 2017 | 62 | |
| 6 | 2002 | 50 | |
| 7 | 2013 | 49 | |
| 8 | 2013 | 48 | |
| 9 | 2013 | 48 | |
| 10 | 2013 | 47 | |
| 11 | 2007 | 46 | |
| 12 | 2021 | 45 | |
| 13 | 2017 | 44 | |
| 14 | 2016 | 41 | |
| 15 | 2019 | 39 | |
| 16 | 2016 | 37 | |
| 17 | 2012 | 36 | |
| 18 | 2020 | 35 | |
| 19 | 2020 | 33 | |
| 20 | 2006 | 31 |
About Daniele Procissi
Daniele Procissi is a scholar working on Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience, Materials Chemistry and Molecular Biology, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Magnetism in coordination complexes (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MRI in cancer diagnosis (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (8 papers), Nanoparticle-Based Drug Delivery (7 papers) and Lanthanide and Transition Metal Complexes (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (386 citations), Immunology (276 citations), Cellular and Molecular Neuroscience (213 citations), Biomaterials (152 citations) and Physiology (294 citations). Daniele Procissi has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Russell E. Jacobs, Maria Virginia Centeno, A. Vania Apkarian, Andrew C. Larson, Zhuoli Zhang, Alex T. Baria, Yibao Wu, Reed A. Omary, Simon R. Cherry and Jinyi Qi. Their work appears in journals such as Journal of Applied Physics, Physical Review B, Pain, Cell Reports and NeuroImage.
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.