Emma Assi
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Physiology top 10%
Papers in
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- Sphingolipid Metabolism and Signaling 6
- Surgery 7
- Pancreatic function and diabetes 6
- Co-authors
- Cristiana Perrotta (9 shared papers)Emilio Clementi (9 shared papers)Clara De Palma (8 shared papers)Davide Cervia (8 shared papers)Paolo Fiorina (12 shared papers)Moufida Ben Nasr (9 shared papers)Cristian Loretelli (8 shared papers)Gianvincenzo Zuccotti (6 shared papers)
- Journals
- Pharmacological Research (5 papers)Oncotarget (2 papers)Cell Death and Differentiation (1 paper)American Journal of Nephrology (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ItalyUnited StatesEgypt
In The Last Decade
Emma Assi
25 papers receiving 915 citations
Emma Assi's Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 223
- Physiology 34
- Cell Biology 93
- Rehabilitation 35
- Immunology 105
Countries citing papers authored by Emma Assi
This map shows the geographic impact of Emma Assi'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 Emma Assi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Assi more than expected).
Fields of papers citing papers by Emma Assi
This network shows the impact of papers produced by Emma Assi. 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 Emma Assi. The network helps show where Emma Assi may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Assi, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The anti-inflammatory and immunological properties of GLP-1 Receptor Agonists Hit paper breakdown → | 2022 | 246 |
| 2 | 2013 | 99 | |
| 3 | 2014 | 61 | |
| 4 | 2010 | 59 | |
| 5 | 2013 | 42 | |
| 6 | 2013 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2015 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 35 | |
| 11 | 2016 | 35 | |
| 12 | 2020 | 31 | |
| 13 | 2023 | 31 | |
| 14 | 2020 | 23 | |
| 15 | 2015 | 22 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 16 | |
| 18 | 2012 | 14 | |
| 19 | 2017 | 8 | |
| 20 | 2016 | 7 |
About Emma Assi
Emma Assi is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 25 papers that have together received 923 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (6 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Adenosine and Purinergic Signaling (3 papers), Cellular transport and secretion (2 papers), Diabetes Treatment and Management (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (223 citations), Physiology (34 citations), Cell Biology (93 citations), Rehabilitation (35 citations) and Immunology (105 citations). Emma Assi has collaborated with scholars based in Italy, United States and Egypt. Frequent co-authors include Cristiana Perrotta, Emilio Clementi, Clara De Palma, Davide Cervia, Paolo Fiorina, Moufida Ben Nasr, Cristian Loretelli, Gianvincenzo Zuccotti, Vera Usuelli and Ida Pastore. Their work appears in journals such as Pharmacological Research, Oncotarget, Cell Death and Differentiation, American Journal of Nephrology and Frontiers in Endocrinology.
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.