G. Saccomani
- Molecular Biology top 5%
- Surgery top 10%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- George SachsE. RabonH. H. ChangM LewinDale BenosH. B. StewartSarah Sariban-SohrabyPeter R. Smith
- Topics
- Ion Transport and Channel Regulation (22 papers)ATP Synthase and ATPases Research (8 papers)Drug Transport and Resistance Mechanisms (5 papers)
- Partner nations
- United StatesItalySweden
In The Last Decade
G. Saccomani
42 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.8k
- Surgery 491
- Oncology 375
- Endocrinology, Diabetes and Metabolism 228
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by G. Saccomani
This map shows the geographic impact of G. Saccomani'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 G. Saccomani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Saccomani more than expected).
Fields of papers citing papers by G. Saccomani
This network shows the impact of papers produced by G. Saccomani. 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 G. Saccomani. The network helps show where G. Saccomani may publish in the future.
Co-authorship network of co-authors of G. Saccomani
This figure shows the co-authorship network connecting the top 25 collaborators of G. Saccomani. A scholar is included among the top collaborators of G. Saccomani 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 G. Saccomani. G. Saccomani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A new HPLC method for the detection of tramadol in plasma following intravenous administration to horses | 1 |
| 2 | LSA--a new liver-specific antigen in the rat. II: Immunological and biological properties. | 2 |
| 3 | 26 | |
| 4 | 155 | |
| 5 | 3 | |
| 6 | 90 | |
| 7 | 64 | |
| 8 | 99 | |
| 9 | 23 | |
| 10 | 68 | |
| 11 | 23 | |
| 12 | 169 | |
| 13 | 114 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 37 | |
| 17 | 28 | |
| 18 | 20 | |
| 19 | 13 | |
| 20 | 3 |
About G. Saccomani
G. Saccomani is a scholar working on Filtration and Separation, Molecular Biology and Pharmaceutical Science, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (22 papers), ATP Synthase and ATPases Research (8 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Gastroenterology (152 citations), Molecular Biology (1.8k citations) and Pharmaceutical Science (87 citations). G. Saccomani has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include George Sachs, E. Rabon, H. H. Chang, M Lewin, Dale Benos, H. B. Stewart, Sarah Sariban-Sohraby, Peter R. Smith, R W Schackmann and Kenneth D. Mitchell. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.