Marc D. Succi
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Molecular Medicine top 5%
Papers in
-
- COVID-19 diagnosis using AI 8
- Radiology practices and education 7
- Radiomics and Machine Learning in Medical Imaging 4
-
- Biomedical and Engineering Education 8
- Co-authors
- Arya Rao (16 shared papers)Keith J. Dreyer (5 shared papers)John Kim (7 shared papers)Winston Lie (5 shared papers)Michael Pang (3 shared papers)Meghana Kamineni (2 shared papers)Róbert Langer (2 shared papers)Adam Landman (7 shared papers)
- Journals
- Journal of the American College of Radiology (15 papers)The American Journal of Emergency Medicine (5 papers)Academic Radiology (4 papers)Nature Biotechnology (3 papers)JAMA Network Open (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Marc D. Succi
63 papers receiving 1.5k citations
Marc D. Succi's Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 426
- Molecular Medicine 75
- Pharmaceutical Science 92
- Radiology, Nuclear Medicine and Imaging 242
- Family Practice 19
Countries citing papers authored by Marc D. Succi
This map shows the geographic impact of Marc D. Succi'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 Marc D. Succi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc D. Succi more than expected).
Fields of papers citing papers by Marc D. Succi
This network shows the impact of papers produced by Marc D. Succi. 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 Marc D. Succi. The network helps show where Marc D. Succi may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc D. Succi, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An inflammation-targeting hydrogel for local drug delivery in inflammatory bowel disease Hit paper breakdown → | 2015 | 370 |
| 2 | 2023 | 247 | |
| 3 | 2023 | 206 | |
| 4 | 2013 | 75 | |
| 5 | 2021 | 62 | |
| 6 | 2022 | 46 | |
| 7 | 2020 | 34 | |
| 8 | 2022 | 32 | |
| 9 | 2021 | 31 | |
| 10 | 2024 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2023 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2023 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2024 | 14 | |
| 20 | 2021 | 13 |
About Marc D. Succi
Marc D. Succi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Health Informatics, Oncology and Public Health, Environmental and Occupational Health, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (10 papers), COVID-19 diagnosis using AI (8 papers), COVID-19 and healthcare impacts (8 papers), Biomedical and Engineering Education (8 papers), Health and Medical Research Impacts (7 papers), Radiology practices and education (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Innovations in Medical Education (4 papers). The work is most often cited by research in Health Informatics (426 citations), Molecular Medicine (75 citations), Pharmaceutical Science (92 citations), Radiology, Nuclear Medicine and Imaging (242 citations) and Family Practice (19 citations). Marc D. Succi has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Arya Rao, Keith J. Dreyer, John Kim, Winston Lie, Michael Pang, Meghana Kamineni, Róbert Langer, Adam Landman, Sufeng Zhang and Matthew J. Hamilton. Their work appears in journals such as Journal of the American College of Radiology, The American Journal of Emergency Medicine, Academic Radiology, Nature Biotechnology and JAMA Network Open.
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.