Sergio E. Baranzini
Impact in
- Pathology and Forensic Medicine top 0.02%
- Multiple Sclerosis Research Studies
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Multiple Sclerosis Research Studies 141
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- Gut microbiota and health 18
- Bioinformatics and Genomic Networks 15
- Biomedical Text Mining and Ontologies 8
- Gene expression and cancer classification 5
- Co-authors
- Jorge R. Oksenberg (61 shared papers)Stephen L. Hauser (37 shared papers)Olga Ciccarelli (1 shared paper)Alan J. Thompson (1 shared paper)Jeroen J.G. Geurts (1 shared paper)Bernhard Hemmer (1 shared paper)Lawrence Steinman (10 shared papers)Raymond A. Sobel (9 shared papers)
- Journals
- Multiple Sclerosis Journal (16 papers)The Journal of Immunology (9 papers)Annals of Neurology (8 papers)Brain (7 papers)Cell (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sergio E. Baranzini
225 papers receiving 23k citations
Sergio E. Baranzini's Hit Papers
Peers
Comparison fields: 5 of 158
- Pathology and Forensic Medicine 12.9k
- Developmental Neuroscience 615
- Neurology 1.1k
- Molecular Biology 4.4k
- Immunology 1.3k
Countries citing papers authored by Sergio E. Baranzini
This map shows the geographic impact of Sergio E. Baranzini'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 Sergio E. Baranzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio E. Baranzini more than expected).
Fields of papers citing papers by Sergio E. Baranzini
This network shows the impact of papers produced by Sergio E. Baranzini. 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 Sergio E. Baranzini. The network helps show where Sergio E. Baranzini may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio E. Baranzini, 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 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis Hit paper breakdown → | 2011 | 2243 |
| 2 | Multiple sclerosis Hit paper breakdown → | 2018 | 1437 |
| 3 | Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis Hit paper breakdown → | 2013 | 1141 |
| 4 | Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility Hit paper breakdown → | 2019 | 1067 |
| 5 | Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models Hit paper breakdown → | 2017 | 837 |
| 6 | The Influence of the Proinflammatory Cytokine, Osteopontin, on Autoimmune Demyelinating Disease Hit paper breakdown → | 2001 | 751 |
| 7 | Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice Hit paper breakdown → | 2017 | 747 |
| 8 | THE INFLUENCE OF THE PROINFLAMMATORY CYTOKINE, OSTEOPONTIN, ON AUTOIMMUNE DEMYELINATING DISEASE Hit paper breakdown → | 2002 | 692 |
| 9 | Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci Hit paper breakdown → | 2009 | 671 |
| 10 | Incidental MRI anomalies suggestive of multiple sclerosis Hit paper breakdown → | 2008 | 497 |
| 11 | 2008 | 451 | |
| 12 | Systematic integration of biomedical knowledge prioritizes drugs for repurposing Hit paper breakdown → | 2017 | 395 |
| 13 | 2008 | 391 | |
| 14 | 2010 | 389 | |
| 15 | Silent progression in disease activity–free relapsing multiple sclerosis Hit paper breakdown → | 2019 | 383 |
| 16 | Long‐term evolution of multiple sclerosis disability in the treatment era Hit paper breakdown → | 2016 | 354 |
| 17 | 2009 | 313 | |
| 18 | Recirculating Intestinal IgA-Producing Cells Regulate Neuroinflammation via IL-10 Hit paper breakdown → | 2019 | 311 |
| 19 | Class II HLA interactions modulate genetic risk for multiple sclerosis Hit paper breakdown → | 2015 | 309 |
| 20 | 2011 | 305 |
About Sergio E. Baranzini
Sergio E. Baranzini is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Immunology and Neurology, having authored 232 papers that have together received 23.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (141 papers), Gut microbiota and health (18 papers), Bioinformatics and Genomic Networks (15 papers), Genetic Associations and Epidemiology (9 papers), Biomedical Text Mining and Ontologies (8 papers), T-cell and B-cell Immunology (7 papers), Machine Learning in Healthcare (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (12.9k citations), Developmental Neuroscience (615 citations), Neurology (1.1k citations), Molecular Biology (4.4k citations) and Immunology (1.3k citations). Sergio E. Baranzini has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jorge R. Oksenberg, Stephen L. Hauser, Olga Ciccarelli, Alan J. Thompson, Jeroen J.G. Geurts, Bernhard Hemmer, Lawrence Steinman, Raymond A. Sobel, Claude C.A. Bernard and Bruce Cree. Their work appears in journals such as Multiple Sclerosis Journal, The Journal of Immunology, Annals of Neurology, Brain and Cell.
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.