Barbara Pacini
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Advanced Causal Inference Techniques 11
- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 8
-
- HIV/AIDS drug development and treatment 10
- Co-authors
- Fabrizia Mealli (10 shared papers)Giampiero M. Gallo (3 shared papers)Frank Narjes (8 shared papers)Steven J. Harper (7 shared papers)Raffaele De Francesco (4 shared papers)Giuliano Giambastiani (3 shared papers)Giovanni Poli (3 shared papers)Paolo Frumento (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of the American Statistical Association (2 papers)Computational Statistics & Data Analysis (2 papers)Journal of Organometallic Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Barbara Pacini
33 papers receiving 730 citations
Peers
Comparison fields: 5 of 100
- Hepatology 183
- Statistics and Probability 140
- Virology 56
- Infectious Diseases 213
- Finance 89
Countries citing papers authored by Barbara Pacini
This map shows the geographic impact of Barbara Pacini'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 Barbara Pacini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Pacini more than expected).
Fields of papers citing papers by Barbara Pacini
This network shows the impact of papers produced by Barbara Pacini. 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 Barbara Pacini. The network helps show where Barbara Pacini may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Pacini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 88 | |
| 2 | 2006 | 72 | |
| 3 | 2005 | 69 | |
| 4 | 2005 | 63 | |
| 5 | 2012 | 63 | |
| 6 | 2013 | 52 | |
| 7 | 2009 | 45 | |
| 8 | 1998 | 42 | |
| 9 | 2004 | 39 | |
| 10 | 2006 | 38 | |
| 11 | 2004 | 31 | |
| 12 | 2009 | 26 | |
| 13 | 2001 | 20 | |
| 14 | 2003 | 19 | |
| 15 | 1993 | 17 | |
| 16 | 2005 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2008 | 12 | |
| 19 | 1998 | 11 | |
| 20 | Introduzione alla statistica | 2001 | 11 |
About Barbara Pacini
Barbara Pacini is a scholar working on Statistics and Probability, Infectious Diseases, Hepatology, Economics and Econometrics and Organic Chemistry, having authored 36 papers that have together received 783 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (11 papers), HIV/AIDS drug development and treatment (10 papers), Hepatitis C virus research (10 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (8 papers), Biochemical and Molecular Research (3 papers), Media Influence and Politics (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (183 citations), Statistics and Probability (140 citations), Virology (56 citations), Infectious Diseases (213 citations) and Finance (89 citations). Barbara Pacini has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Fabrizia Mealli, Giampiero M. Gallo, Frank Narjes, Steven J. Harper, Raffaele De Francesco, Giuliano Giambastiani, Giovanni Poli, Paolo Frumento, Donald B. Rubin and Marcello Di Filippo. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of the American Statistical Association, Computational Statistics & Data Analysis and Journal of Organometallic 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.