Giovanni M. Pitari
- Molecular Biology top 10%
- Physiology top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Immunology top 10%
- Co-authors
- Scott A. WaldmanStephanie SchulzJason Y. ParkShiva KazerounianKenneth P. ChepenikJieru E. LinDavid S. ZuzgaTerry Hyslop
- Topics
- Escherichia coli research studies (7 papers)Cancer Research and Treatments (7 papers)Bioactive Compounds and Antitumor Agents (6 papers)
- Cited by
- ToxicologyEndocrinologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United StatesItalySpain
In The Last Decade
Giovanni M. Pitari
50 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.1k
- Physiology 500
- Oncology 392
- Pathology and Forensic Medicine 312
- Immunology 308
Countries citing papers authored by Giovanni M. Pitari
This map shows the geographic impact of Giovanni M. Pitari'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 Giovanni M. Pitari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni M. Pitari more than expected).
Fields of papers citing papers by Giovanni M. Pitari
This network shows the impact of papers produced by Giovanni M. Pitari. 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 Giovanni M. Pitari. The network helps show where Giovanni M. Pitari may publish in the future.
Co-authorship network of co-authors of Giovanni M. Pitari
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni M. Pitari. A scholar is included among the top collaborators of Giovanni M. Pitari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giovanni M. Pitari. Giovanni M. Pitari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | Abstract #4412: GUCY2C establishes lineage dependence in intestinal tumorigenesis through AKT | 1 |
| 14 | 16 | |
| 15 | 15 | |
| 16 | 50 | |
| 17 | 116 | |
| 18 | 122 | |
| 19 | 30 | |
| 20 | 10 |
About Giovanni M. Pitari
Giovanni M. Pitari is a scholar working on Toxicology, Endocrinology and Biotechnology, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Cancer Research and Treatments (7 papers) and Bioactive Compounds and Antitumor Agents (6 papers). The work is most often cited by research in Toxicology (90 citations), Endocrinology (127 citations) and Physiology (500 citations). Giovanni M. Pitari has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Scott A. Waldman, Stephanie Schulz, Jason Y. Park, Shiva Kazerounian, Kenneth P. Chepenik, Jieru E. Lin, David S. Zuzga, Terry Hyslop, Matthew D. Di Guglielmo and Inna Chervoneva. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.
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.