John Cafardi
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Epidemiology 10
- Hepatitis B Virus Studies 3
- Liver Disease Diagnosis and Treatment 3
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- Hepatitis C virus research 5
- Co-authors
- Tatyana Kushner (3 shared papers)Kaihong Su (2 shared papers)Robert P. Kimberly (2 shared papers)Andrew Gibson (2 shared papers)Jeffrey C. Edberg (2 shared papers)Xiaoli Li (1 shared paper)Hengxuan Yang (1 shared paper)Xinrui Li (1 shared paper)
- Journals
- Clinical Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)Expert Opinion on Biological Therapy (1 paper)Hepatology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyVietnam
In The Last Decade
John Cafardi
18 papers receiving 348 citations
Peers
Comparison fields: 5 of 52
- Immunology 127
- Radiology, Nuclear Medicine and Imaging 104
- Infectious Diseases 74
- Hepatology 30
- Transplantation 9
Countries citing papers authored by John Cafardi
This map shows the geographic impact of John Cafardi'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 Cafardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Cafardi more than expected).
Fields of papers citing papers by John Cafardi
This network shows the impact of papers produced by John Cafardi. 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 Cafardi. The network helps show where John Cafardi may publish in the future.
Co-authors
The 25 scholars most cited alongside John Cafardi, 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 | 2007 | 152 | |
| 2 | 2020 | 37 | |
| 3 | 2021 | 34 | |
| 4 | 2009 | 24 | |
| 5 | 2014 | 18 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2011 | 14 | |
| 9 | 2015 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2007 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About John Cafardi
John Cafardi is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Rheumatology and Immunology, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), T-cell and B-cell Immunology (2 papers), Systemic Lupus Erythematosus Research (2 papers), Streptococcal Infections and Treatments (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Immunology (127 citations), Radiology, Nuclear Medicine and Imaging (104 citations), Infectious Diseases (74 citations), Hepatology (30 citations) and Transplantation (9 citations). John Cafardi has collaborated with scholars based in United States, Germany and Vietnam. Frequent co-authors include Tatyana Kushner, Kaihong Su, Robert P. Kimberly, Andrew Gibson, Jeffrey C. Edberg, Xiaoli Li, Hengxuan Yang, Xinrui Li, Tong Zhou and Judith Feinberg. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, Expert Opinion on Biological Therapy, Hepatology and PLoS ONE.
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.