R. Abbiati

2.4k total citations
55 papers, 1.8k citations indexed

About

R. Abbiati is a scholar working on Epidemiology, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, R. Abbiati has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in R. Abbiati's work include Liver Disease and Transplantation (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and RNA Interference and Gene Delivery (4 papers). R. Abbiati is often cited by papers focused on Liver Disease and Transplantation (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and RNA Interference and Gene Delivery (4 papers). R. Abbiati collaborates with scholars based in Italy, United States and Switzerland. R. Abbiati's co-authors include Giulio Marchesini, Giampaolo Bianchi, C. Loguercio, Manuela Merli, Piero Amodio, Filippo Rossi Fanelli, Carmine Panella, Marco Zoli, Francesco Salerno and Giovanni Apolone and has published in prestigious journals such as Gastroenterology, Hepatology and The FASEB Journal.

In The Last Decade

R. Abbiati

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Abbiati Italy 17 966 912 367 329 214 55 1.8k
Zvi Ackerman Israel 30 756 0.8× 1.2k 1.3× 405 1.1× 644 2.0× 561 2.6× 106 3.2k
C O Record United Kingdom 31 1.1k 1.2× 1.4k 1.5× 325 0.9× 921 2.8× 357 1.7× 107 3.2k
Norman Gitlin United States 26 1.3k 1.4× 1.3k 1.4× 121 0.3× 361 1.1× 217 1.0× 87 2.3k
D. Robert Dufour United States 18 612 0.6× 717 0.8× 122 0.3× 275 0.8× 161 0.8× 38 1.7k
Robert T. Mathie United Kingdom 29 766 0.8× 440 0.5× 499 1.4× 1.0k 3.2× 241 1.1× 123 2.8k
Mark McPhail United Kingdom 37 2.0k 2.1× 2.0k 2.1× 320 0.9× 1.5k 4.6× 571 2.7× 131 5.0k
Walter H. Abelmann United States 36 593 0.6× 1.0k 1.1× 252 0.7× 1.0k 3.1× 532 2.5× 166 5.3k
Robert R. Schade United States 36 2.2k 2.2× 1.4k 1.5× 178 0.5× 2.2k 6.8× 220 1.0× 118 4.4k
Arie Regev United States 34 2.6k 2.7× 2.8k 3.0× 117 0.3× 936 2.8× 335 1.6× 95 4.7k
Tor Inge Tønnessen Norway 32 464 0.5× 328 0.4× 201 0.5× 907 2.8× 617 2.9× 120 3.0k

Countries citing papers authored by R. Abbiati

Since Specialization
Citations

This map shows the geographic impact of R. Abbiati'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 R. Abbiati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Abbiati more than expected).

Fields of papers citing papers by R. Abbiati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Abbiati. 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 R. Abbiati. The network helps show where R. Abbiati may publish in the future.

Co-authorship network of co-authors of R. Abbiati

This figure shows the co-authorship network connecting the top 25 collaborators of R. Abbiati. A scholar is included among the top collaborators of R. Abbiati 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 R. Abbiati. R. Abbiati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abbiati, R. & César Pichardo‐Almarza. (2025). An introduction to quantitative systems pharmacology for chemical engineers. Physical Sciences Reviews. 10(1-2). 79–99.
2.
Abbiati, R., Michael Pourdehnad, Soraya Carrancio, et al.. (2021). Quantitative Systems Pharmacology Modeling of Avadomide-Induced Neutropenia Enables Virtual Clinical Dose and Schedule Finding Studies. The AAPS Journal. 23(5). 3 indexed citations
3.
Abbiati, R., M. Guillaume Wientjes, & Jessie L.‐S. Au. (2021). Is It Time to Use Modeling of Cellular Transporter Homeostasis to Inform Drug-Drug Interaction Studies: Theoretical Considerations. The AAPS Journal. 23(5). 102–102. 1 indexed citations
4.
Au, Jessie L.‐S., Ze Lu, R. Abbiati, & M. Guillaume Wientjes. (2019). Systemic Bioequivalence Is Unlikely to Equal Target Site Bioequivalence for Nanotechnology Oncologic Products. The AAPS Journal. 21(2). 24–24. 5 indexed citations
5.
Abbiati, R., P. Cagnardi, Giuliano Ravasio, Roberto Edoardo Villa, & Davide Manca. (2017). A physiologically based model for tramadol pharmacokinetics in horses. Journal of Theoretical Biology. 429. 46–51. 4 indexed citations
6.
Barba, Anna Angela, Sara Cascone, Diego Caccavo, et al.. (2017). Engineering approaches in siRNA delivery. International Journal of Pharmaceutics. 525(2). 343–358. 20 indexed citations
7.
Cascone, Sara, Gaetano Lamberti, Ornella Piazza, R. Abbiati, & Davide Manca. (2017). A physiologically-based model to predict individual pharmacokinetics and pharmacodynamics of remifentanil. European Journal of Pharmaceutical Sciences. 111. 20–28. 14 indexed citations
8.
Grossi, Enzo, et al.. (2010). Clinical Trial on the Efficacy of a New Symbiotic Formulation, Flortec, in Patients With Acute Diarrhea. Journal of Clinical Gastroenterology. 44(Supplement 1). S35–S41. 11 indexed citations
9.
Federico, Alessandro, Concetta Tuccillo, Enzo Grossi, et al.. (2009). The effect of a new symbiotic formulation on plasma levels and peripheral blood mononuclear cell expression of some pro-inflammatory cytokines in patients with ulcerative colitis: a pilot study.. PubMed. 13(4). 285–93. 28 indexed citations
10.
Andriulli, Angelo, Matteo Neri, C. Loguercio, et al.. (2008). Clinical Trial on the Efficacy of a New Symbiotic Formulation, Flortec, in Patients With Irritable Bowel Syndrome. Journal of Clinical Gastroenterology. 42(Supplement 3). S218–S223. 60 indexed citations
11.
Bianchi, Giampaolo, Giulio Marchesini, D. Sgarbi, et al.. (2005). Psychological status and depression in patients with liver cirrhosis. Digestive and Liver Disease. 37(8). 593–600. 146 indexed citations
12.
Bianchi, Giampaolo, C. Loguercio, D. Sgarbi, et al.. (2003). Reduced quality of life of patients with hepatocellular carcinoma. Digestive and Liver Disease. 35(1). 46–54. 42 indexed citations
13.
Marchesini, Giulio, Giampaolo Bianchi, Manuela Merli, et al.. (2003). Nutritional supplementation with branched-chain amino acids in advanced cirrhosis: a double-blind, randomized trial. Gastroenterology. 124(7). 1792–1801. 436 indexed citations
14.
Marchesini, Giulio, Giampaolo Bianchi, Piero Amodio, et al.. (2001). Factors associated with poor health-related quality of life of patients with cirrhosis. Gastroenterology. 120(1). 170–178. 393 indexed citations
15.
Bianchi, Giampaolo, C. Loguercio, D. Sgarbi, et al.. (2000). Reduced quality of life in patients with chronic hepatitis C: effects of interferon treatment. Digestive and Liver Disease. 32(5). 398–405. 42 indexed citations
16.
Gismondo, Maria Rita, et al.. (1998). Immunostimulating Effect of Oral Glutamine. Digestive Diseases and Sciences. 43(8). 1752–1754. 16 indexed citations
18.
Bonato, Claudio, Alberto Malesci, Riccardo Rosati, et al.. (1989). Brain cholecystokinin depletion in rats with acute liver failure. Life Sciences. 44(2). 131–135. 1 indexed citations
19.
Montanari, Alberto, Daniele Vallisa, A. Trifirò, et al.. (1988). Free amino acids in plasma and skeletal muscle of patients with liver cirrhosis. Hepatology. 8(5). 1034–1039. 61 indexed citations
20.
Dioguardi, Francesco S., et al.. (1983). [Metabolic and clinical effects of the acute and chronic oral administration of a combination of branched-chain amino acids and saccharose].. PubMed. 38(21). 1815–9. 1 indexed citations

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.

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