John Sidney
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Immunology top 0.02%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Immunology 252
- Immunotherapy and Immune Responses 173
- T-cell and B-cell Immunology 110
- Immune Cell Function and Interaction 89
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- vaccines and immunoinformatics approaches 145
- Co-authors
- Alessandro Sette (251 shared papers)Bjoern Peters (116 shared papers)Scott Southwood (58 shared papers)Howard M. Grey (39 shared papers)Ralph T. Kubo (20 shared papers)Carla Oseroff (46 shared papers)Robert W. Chesnut (29 shared papers)Huynh‐Hoa Bui (18 shared papers)
- Journals
- The Journal of Immunology (89 papers)Journal of Virology (28 papers)Immunogenetics (21 papers)Human Immunology (16 papers)Proceedings of the National Academy of Sciences (14 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John Sidney
385 papers receiving 33.6k citations
John Sidney's Hit Papers
Peers
Comparison fields: 5 of 162
- Virology 4.8k
- Immunology 18.4k
- Infectious Diseases 6.3k
- Hepatology 1.9k
- Radiology, Nuclear Medicine and Imaging 4.8k
Countries citing papers authored by John Sidney
This map shows the geographic impact of John Sidney'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 John Sidney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sidney more than expected).
Fields of papers citing papers by John Sidney
This network shows the impact of papers produced by John Sidney. 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 John Sidney. The network helps show where John Sidney may publish in the future.
Co-authors
The 25 scholars most cited alongside John Sidney, 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 390 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The relationship between class I binding affinity and immunogenicity of potential cytotoxic T cell epitopes. Hit paper breakdown → | 1994 | 745 |
| 2 | A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach Hit paper breakdown → | 2008 | 682 |
| 3 | Predicting population coverage of T-cell epitope-based diagnostics and vaccines Hit paper breakdown → | 2006 | 678 |
| 4 | A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 Hit paper breakdown → | 2020 | 666 |
| 5 | Several Common HLA-DR Types Share Largely Overlapping Peptide Binding Repertoires Hit paper breakdown → | 1998 | 567 |
| 6 | Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 molecules Hit paper breakdown → | 1993 | 567 |
| 7 | NetMHCpan, a method for MHC class I binding prediction beyond humans Hit paper breakdown → | 2008 | 563 |
| 8 | HLA class I supertypes: a revised and updated classification Hit paper breakdown → | 2008 | 556 |
| 9 | Peptide binding predictions for HLA DR, DP and DQ molecules Hit paper breakdown → | 2010 | 537 |
| 10 | Nine major HLA class I supertypes account for the vast preponderance of HLA-A and -B polymorphism Hit paper breakdown → | 1999 | 537 |
| 11 | SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron Hit paper breakdown → | 2022 | 503 |
| 12 | Comprehensive analysis of dengue virus-specific responses supports an HLA-linked protective role for CD8 + T cells Hit paper breakdown → | 2013 | 473 |
| 13 | 2006 | 461 | |
| 14 | 1994 | 454 | |
| 15 | Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction Hit paper breakdown → | 2017 | 423 |
| 16 | 1995 | 419 | |
| 17 | 2007 | 403 | |
| 18 | The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytes Hit paper breakdown → | 2001 | 335 |
| 19 | 2011 | 327 | |
| 20 | 1999 | 321 |
About John Sidney
John Sidney is a scholar working on Immunology, Molecular Biology, Virology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 390 papers that have together received 34.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (173 papers), vaccines and immunoinformatics approaches (145 papers), T-cell and B-cell Immunology (110 papers), Immune Cell Function and Interaction (89 papers), Monoclonal and Polyclonal Antibodies Research (64 papers), HIV Research and Treatment (57 papers), Herpesvirus Infections and Treatments (25 papers) and Hepatitis B Virus Studies (21 papers). The work is most often cited by research in Virology (4.8k citations), Immunology (18.4k citations), Infectious Diseases (6.3k citations), Hepatology (1.9k citations) and Radiology, Nuclear Medicine and Imaging (4.8k citations). John Sidney has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Alessandro Sette, Bjoern Peters, Scott Southwood, Howard M. Grey, Ralph T. Kubo, Carla Oseroff, Robert W. Chesnut, Huynh‐Hoa Bui, Daniela Weiskopf and Ettore Appella. Their work appears in journals such as The Journal of Immunology, Journal of Virology, Immunogenetics, Human Immunology and Proceedings of the National Academy of Sciences.
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.