Pierre–Yves Bochud
- Hepatology top 0.5%
- Hepatitis C virus research 30
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 19
- Hepatitis B Virus Studies 16
- Fungal Infections and Studies 15
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility 22
- Immunology top 2%
- Immune Response and Inflammation 10
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- Systemic Lupus Erythematosus Research 10
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- Neutropenia and Cancer Infections 9
- Co-authors
- Thierry CalandraP FrancioliAlan AderemStéphanie BibertFrancesco NegroThomas R. HawnMurielle BochudMarkus H. Heim
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)JAMA (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Pierre–Yves Bochud
109 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 122
- Hepatology 1.5k
- Epidemiology 2.9k
- Applied Microbiology and Biotechnology 164
- Infectious Diseases 1.2k
- Immunology 1.2k
Countries citing papers authored by Pierre–Yves Bochud
This map shows the geographic impact of Pierre–Yves Bochud'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 Pierre–Yves Bochud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre–Yves Bochud more than expected).
Fields of papers citing papers by Pierre–Yves Bochud
This network shows the impact of papers produced by Pierre–Yves Bochud. 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 Pierre–Yves Bochud. The network helps show where Pierre–Yves Bochud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierre–Yves Bochud, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 9 | |
| 5 | 2019 | 14 | |
| 6 | 2016 | 44 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 34 | |
| 11 | 2014 | 15 | |
| 12 | 2012 | 47 | |
| 13 | 2011 | 122 | |
| 14 | the Swiss Hepatitis C Cohort Study Group | 2011 | 2 |
| 15 | 2011 | 82 | |
| 16 | 2011 | 1 | |
| 17 | Ip-10 Is Associated With Il28b Variation And Predicts The First Phase Decline Of Hcv Rna And Outcome Of Therapy In Chronic Hepatitis C | 2010 | 2 |
| 18 | 2010 | 201 | |
| 19 | 2009 | 62 | |
| 20 | 2003 | 207 |
About Pierre–Yves Bochud
Pierre–Yves Bochud is a scholar working on Hepatology, Applied Microbiology and Biotechnology and Epidemiology, having authored 115 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (30 papers), Antifungal resistance and susceptibility (22 papers), Liver Disease Diagnosis and Treatment (19 papers), Hepatitis B Virus Studies (16 papers), Fungal Infections and Studies (15 papers), Systemic Lupus Erythematosus Research (10 papers), Immune Response and Inflammation (10 papers) and Neutropenia and Cancer Infections (9 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (2.9k citations) and Applied Microbiology and Biotechnology (164 citations). Pierre–Yves Bochud has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Thierry Calandra, P Francioli, Alan Aderem, Stéphanie Bibert, Francesco Negro, Thomas R. Hawn, Murielle Bochud, Markus H. Heim, Darius Moradpour and Beat Müllhaupt. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.