Fabio Rigat

1.3k total citations
23 papers, 604 citations indexed

About

Fabio Rigat is a scholar working on Epidemiology, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Fabio Rigat has authored 23 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Fabio Rigat's work include Pneumonia and Respiratory Infections (5 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods and Inference (3 papers). Fabio Rigat is often cited by papers focused on Pneumonia and Respiratory Infections (5 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods and Inference (3 papers). Fabio Rigat collaborates with scholars based in United Kingdom, Italy and United States. Fabio Rigat's co-authors include Rino Rappuoli, Mariagrazia Pizza, Jay Lucidarme, Marzia Monica Giuliani, Jamie Findlow, Duccio Medini, Alessia Biolchi, Ray Borrow, Wayne Volkmuth and Ilkka Julkunen and has published in prestigious journals such as Blood, Technometrics and Clinical Infectious Diseases.

In The Last Decade

Fabio Rigat

22 papers receiving 579 citations

Peers

Countries citing papers authored by Fabio Rigat

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Rigat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Rigat

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Estimation of invasive Group B Streptococcus disease risk in young infants from case-control serological studies 2022 ·BMC Medical Research Methodology ·Alane Izu, Gaurav Kwatra, Shabir A. Madhi, Fabio Rigat	0
2	11P Pharmacokinetic/pharmacodynamic (PK/PD) exposure-response characterization of GSK3359609 (GSK609) from INDUCE-1, a phase I open-label study 2020 ·Annals of Oncology ·Eric Angevin, Stefanie L. Groenland, Todd M. Bauer, Danny Rischin, (unknown), (unknown), José Trigo, Michael Chisamore, Jafar Sadik Shaik, Fabio Rigat, (unknown), (unknown), Robert Gagnon, (unknown), David C. Turner, Sapna Yadavilli, Marc Ballas, Axel Hoos, Michele Maio	2
3	Pharmacokinetic/ pharmacodynamic (PK/PD) exposure-response characterization of GSK3359609 (GSK609) from INDUCE-1, a phase I open-label study 2019 ·Annals of Oncology ·Michele Maio, Stefanie L. Groenland, Todd M. Bauer, Danny Rischin, (unknown), Víctor Moreno, J.M. Pérez, Michael Chisamore, Jafar Sadik Shaik, Fabio Rigat, Catherine Ellis, (unknown), Robert Gagnon, (unknown), David C. Turner, Sapna Yadavilli, Marc Ballas, Axel Hoos, Eric Angevin	2
4	Retrospective Identification of a Broad IgG Repertoire Differentiating Patients With S. aureus Skin and Soft Tissue Infections From Controls 2019 ·Frontiers in Immunology ·Fabio Rigat, Erika Bartolini, (unknown), Neha Kumar, Sara Marchi, Pietro Speziale, Domenico Maione, Luqiu Chen, Maria Rosaria Romano, Maria‐Luisa Alegre, Fábio Bagnoli, Robert S. Daum, Michael David	9
5	PS1372 B‐CELL MATURATION ANTIGEN ANTIBODY‐DRUG CONJUGATE (ADC), GSK2857916, IN RELAPSED/REFRACTORY MULTIPLE MYELOMA (RRMM): FINAL SAFETY, EFFICACY AND PHARMACOKINETIC (PK) ANALYSES FROM A PHASE I STUDY 2019 ·HemaSphere ·(unknown), Nikoletta Lendvai, Suzanne Trudel, Peter M. Voorhees, Brandi Reeves, (unknown), PG Richardson, Larry D. Anderson, Heather J. Sutherland, Kwee Yong, Axel Hoos, M Gorczyca, (unknown), Roxanne C. Jewell, Elisha J. Dettman, Fabio Rigat, Ira Gupta, Véronique Bragulat, Joanna Opalinska, Adam D. Cohen	2
6	Functional activity of maternal and cord antibodies elicited by an investigational group B Streptococcus trivalent glycoconjugate vaccine in pregnant women 2018 ·Journal of Infection ·Monica Fabbrini, Fabio Rigat, Giovanna Tuscano, Emiliano Chiarot, Gilbert Donders, Roland Devlieger, Sara Filippini, Elisabetta Frigimelica, Pietro Forte, Frederick Wittke, Scott A. Halperin, Karen S. Slobod, Guido Grandi, Immaculada Margarit	19
7	Expression of Myeloma Cell and Soluble B-Cell Maturation Antigen (BCMA) in Relapsed and Refractory Multiple Myeloma Patients Treated with GSK2857916 in BMA117159 2018 ·Blood ·Elisha J. Dettman, Fabio Rigat, (unknown), (unknown), Mary Birchler, (unknown), Stephen DeWall, (unknown), Zangdong He, (unknown), Joanna Opalińska	3
8	Core values for vaccine evaluation 2016 ·Vaccine ·James Kenneth Timmis, Fabio Rigat, Rino Rappuoli	12
9	The Protective Value of Maternal Group BStreptococcusAntibodies: Quantitative and Functional Analysis of Naturally Acquired Responses to Capsular Polysaccharides and Pilus Proteins in European Maternal Sera 2016 ·Clinical Infectious Diseases ·Monica Fabbrini, Fabio Rigat, C. Daniela Rinaudo, (unknown), (unknown), Roberta Creti, Lucilla Baldassarri, Filippo Carboni, (unknown), Roberto Rosini, Domenico Maione, Guido Grandi, John L. Telford, Immaculada Margarit	52
10	Antibodies to influenza nucleoprotein cross-react with human hypocretin receptor 2 2015 ·WOS ·(unknown), Wayne Volkmuth, José S. Duca, (unknown), Michele Pallaoro, Alfredo Pezzicoli, Anette Karle, Fabio Rigat, Rino Rappuoli, Vas Narasimhan, Ilkka Julkunen, Arja Vuorela, Outi Vaarala, Hanna Nohynek, Franco Laghi‐Pasini, Emanuele Montomoli, Claudia Maria Trombetta, Christopher M. Adams, Jonathan B. Rothbard, Lawrence Steinman	1
11	Antibodies to influenza nucleoprotein cross-react with human hypocretin receptor 2 2015 ·Science Translational Medicine ·(unknown), Wayne Volkmuth, José S. Duca, (unknown), Michele Pallaoro, Alfredo Pezzicoli, Anette Karle, Fabio Rigat, Rino Rappuoli, Vas Narasimhan, Ilkka Julkunen, Arja Vuorela, Outi Vaarala, Hanna Nohynek, Franco Laghi‐Pasini, Emanuele Montomoli, Claudia Maria Trombetta, Christopher M. Adams, Jonathan B. Rothbard, Lawrence Steinman	162
12	Quantification by LC–MSE of outer membrane vesicle proteins of the Bexsero® vaccine 2014 ·Vaccine ·Chiara Tani, Maria Stella, Danilo Donnarumma, Massimiliano Biagini, (unknown), (unknown), Claudia Magagnoli, Paolo Costantino, Fabio Rigat, Nathalie Norais	36
13	Conjugation of a TLR7 agonist and antigen enhances protection in the S. pneumoniae murine infection model 2014 ·European Journal of Pharmaceutics and Biopharmaceutics ·(unknown), Simone Bufali, Tetsuo Uno, Tom Wu, Letizia Arcidiacono, Sara Filippini, Fabio Rigat, Derek T. O’Hagan	25
14	Bactericidal antibody against a representative epidemiological meningococcal serogroup B panel confirms that MATS underestimates 4CMenB vaccine strain coverage 2013 ·Vaccine ·(unknown), Alessia Biolchi, (unknown), Fabio Rigat, (unknown), Jay Lucidarme, Jamie Findlow, Ray Borrow, Mariagrazia Pizza, Marzia Monica Giuliani, Duccio Medini	120
15	Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm 2011 ·Computational Statistics & Data Analysis ·Fabio Rigat, Antonietta Mira	12
16	A hybrid procedure for detecting global treatment effects in multivariate clinical trials: theory and applications to fMRI studies 2011 ·Statistics in Medicine ·(unknown), Fabio Rigat, Thomas E. Nichols, John A. D. Aston, Nigel Stallard	3
17	Design and conduct of Caudwell Xtreme Everest: an observational cohort study of variation in human adaptation to progressive environmental hypoxia 2010 ·BMC Medical Research Methodology ·Denny Levett, Daniel Martín, Mark H. Wilson, Kay Mitchell, Sundeep Dhillon, Fabio Rigat, Hugh Montgomery, Monty Mythen, Michael P. W. Grocott	37
18	Semi-parametric dynamic time series modelling with applications to detecting neural dynamics 2009 ·The Annals of Applied Statistics ·Fabio Rigat, Jim Q. Smith	3
19	Bayesian modelling and analysis of spatio-temporal neuronal networks 2006 ·Bayesian Analysis ·Fabio Rigat, Mathisca C. M. de Gunst, J. van Pelt	1
20	Gene Expression Phenotypes of Atherosclerosis 2004 ·Arteriosclerosis Thrombosis and Vascular Biology ·David Seo, Tao Wang, Holly K. Dressman, Edward E. Herderick, Edwin S. Iversen, Chunming Dong, (unknown), Carmelo A. Milano, Fabio Rigat, Jennifer Pittman, Joseph R. Nevins, Mike West, Pascal J. Goldschmidt‐Clermont	97

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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