Arturo Mancini
-
- Diabetes Treatment and Management 7
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects 7
-
- Neuropeptides and Animal Physiology 4
-
- Receptor Mechanisms and Signaling 12
-
- NF-κB Signaling Pathways 5
-
- Pancreatic function and diabetes 7
-
- Cytokine Signaling Pathways and Interactions 4
-
- Computational Drug Discovery Methods 3
- Co-authors
- Vincent PoitoutJohn A. Di BattistaWissam H. FaourQing HeMaritza QuinteroYulan HeManon de LadurantayeMichel Bouvier
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)The FASEB Journal (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Arturo Mancini
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 224
- Pharmacology 192
- Cellular and Molecular Neuroscience 205
- Molecular Biology 628
- Cancer Research 128
Countries citing papers authored by Arturo Mancini
This map shows the geographic impact of Arturo Mancini'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 Arturo Mancini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arturo Mancini more than expected).
Fields of papers citing papers by Arturo Mancini
This network shows the impact of papers produced by Arturo Mancini. 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 Arturo Mancini. The network helps show where Arturo Mancini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arturo Mancini, 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 | Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRsbreakdown → | 2022 | 145 |
| 2 | 2022 | 0 | |
| 3 | 2018 | 22 | |
| 4 | 2015 | 1 | |
| 5 | 2015 | 78 | |
| 6 | 2013 | 5 | |
| 7 | 2013 | 130 | |
| 8 | 2012 | 10 | |
| 9 | 2011 | 63 | |
| 10 | 2010 | 10 | |
| 11 | 2010 | 28 | |
| 12 | 2008 | 2 | |
| 13 | 2007 | 56 | |
| 14 | 2006 | 38 | |
| 15 | 2006 | 24 | |
| 16 | 2006 | 24 | |
| 17 | 2006 | 15 | |
| 18 | 2005 | 39 | |
| 19 | 2003 | 72 | |
| 20 | 2001 | 181 |
About Arturo Mancini
Arturo Mancini is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Cancer Research, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Diabetes Treatment and Management (7 papers), Inflammatory mediators and NSAID effects (7 papers), Pancreatic function and diabetes (7 papers), NF-κB Signaling Pathways (5 papers), Neuropeptides and Animal Physiology (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (224 citations), Pharmacology (192 citations) and Cellular and Molecular Neuroscience (205 citations). Arturo Mancini has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Vincent Poitout, John A. Di Battista, Wissam H. Faour, Qing He, Maritza Quintero, Yulan He, Manon de Ladurantaye, Michel Bouvier, Dragan Jovanović and Qing He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The FASEB Journal.
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.