Giulia Nesi
Impact in
- Biochemistry top 2%
- Sulfur Compounds in Biology
- Eicosanoids and Hypertension Pharmacology
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Receptor Mechanisms and Signaling 2
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- Sulfur Compounds in Biology 3
- Co-authors
- Simona Rapposelli (15 shared papers)Simona Sestito (10 shared papers)Maria Cristina Breschi (4 shared papers)Alma Martelli (3 shared papers)Vincenzo Calderone (3 shared papers)Lara Testai (2 shared papers)Federico Da Settimo (2 shared papers)Elisabetta Barresi (2 shared papers)
In The Last Decade
Giulia Nesi
14 papers receiving 542 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 204
- Physiology 27
- Organic Chemistry 110
- Endocrine and Autonomic Systems 25
- Physiology 92
Countries citing papers authored by Giulia Nesi
This map shows the geographic impact of Giulia Nesi'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 Giulia Nesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Nesi more than expected).
Fields of papers citing papers by Giulia Nesi
This network shows the impact of papers produced by Giulia Nesi. 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 Giulia Nesi. The network helps show where Giulia Nesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Nesi, 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 | 2013 | 149 | |
| 2 | 2015 | 81 | |
| 3 | 2016 | 59 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 42 | |
| 6 | 2015 | 41 | |
| 7 | 2013 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2017 | 19 | |
| 12 | 2014 | 11 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 2 | |
| 15 | DNA ploidy, S phase fraction and telomerase activity in gastric cancer. | 1997 | 1 |
| 16 | 2016 | 0 |
About Giulia Nesi
Giulia Nesi is a scholar working on Molecular Biology, Biochemistry, Oncology, Physiology and Pharmacology, having authored 16 papers that have together received 550 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Mast cells and histamine (2 papers), Protein Degradation and Inhibitors (2 papers), Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biochemistry (204 citations), Physiology (27 citations), Organic Chemistry (110 citations), Endocrine and Autonomic Systems (25 citations) and Physiology (92 citations). Giulia Nesi has collaborated with scholars based in Italy, China and Russia. Frequent co-authors include Simona Rapposelli, Simona Sestito, Maria Cristina Breschi, Alma Martelli, Vincenzo Calderone, Lara Testai, Federico Da Settimo, Elisabetta Barresi, Valentina Citi and Sabrina Taliani. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Molecular Imaging and Biology and Scientific Reports.
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.