Francesco Parlati
- Molecular Biology top 1%
- Cell Biology top 0.1%
- Oncology top 2%
- Cancer Research top 2%
- Hematology top 1%
- Co-authors
- James A. McNewThomas SöllnerJames E. RothmanThomas WeberBenedikt WestermannBoris V. ZemelmanMichael GmachlMark K. Bennett
- Topics
- Ubiquitin and proteasome pathways (15 papers)Cancer, Hypoxia, and Metabolism (11 papers)Cellular transport and secretion (11 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Francesco Parlati
51 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 6.0k
- Cell Biology 3.9k
- Oncology 1.0k
- Cancer Research 922
- Hematology 693
Countries citing papers authored by Francesco Parlati
This map shows the geographic impact of Francesco Parlati'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 Francesco Parlati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Parlati more than expected).
Fields of papers citing papers by Francesco Parlati
This network shows the impact of papers produced by Francesco Parlati. 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 Francesco Parlati. The network helps show where Francesco Parlati may publish in the future.
Co-authorship network of co-authors of Francesco Parlati
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Parlati. A scholar is included among the top collaborators of Francesco Parlati 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 Francesco Parlati. Francesco Parlati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 1 | |
| 3 | 215 | |
| 4 | 10 | |
| 5 | Antitumor Activity of the Glutaminase Inhibitor CB-839 in Triple-Negative Breast Cancerbreakdown → | 797 |
| 6 | 2 | |
| 7 | 329 | |
| 8 | 494 | |
| 9 | 3 | |
| 10 | Antitumor Activity of PR-171, a Novel Irreversible Inhibitor of the Proteasomebreakdown → | 542 |
| 11 | 66 | |
| 12 | 51 | |
| 13 | 58 | |
| 14 | 223 | |
| 15 | 204 | |
| 16 | Compartmental specificity of cellular membrane fusion encoded in SNARE proteinsbreakdown → | 537 |
| 17 | SNAREpins: Minimal Machinery for Membrane Fusionbreakdown → | 2013 |
| 18 | 106 | |
| 19 | 141 | |
| 20 | 70 |
About Francesco Parlati
Francesco Parlati is a scholar working on Biotechnology, Cell Biology and Cancer Research, having authored 52 papers that have together received 7.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Cellular transport and secretion (11 papers). The work is most often cited by research in Cell Biology (3.9k citations), Physiology (505 citations) and Molecular Biology (6.0k citations). Francesco Parlati has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include James A. McNew, Thomas Söllner, James E. Rothman, Thomas Weber, Benedikt Westermann, Boris V. Zemelman, Michael Gmachl, Mark K. Bennett, Ryouichi Fukuda and Susan D. Demo. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.