Paul Scibelli
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Transplantation top 10%
Papers in
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- Alzheimer's disease research and treatments 6
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Thomas R. Malek (4 shared papers)Aixin Yu (3 shared papers)Vladimir Vincek (1 shared paper)Lin Kong (1 shared paper)E K Codias (2 shared papers)Brian Porter (2 shared papers)Mathias G. Lichtenheld (1 shared paper)Fiona Crawford (8 shared papers)
- Journals
- The Journal of Immunology (3 papers)Cytometry Part B Clinical Cytometry (1 paper)Blood (1 paper)Immunity (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Paul Scibelli
15 papers receiving 998 citations
Paul Scibelli's Hit Papers
Peers
Comparison fields: 5 of 64
- Immunology 831
- Transplantation 22
- Oncology 153
- Physiology 99
- Genetics 37
Countries citing papers authored by Paul Scibelli
This map shows the geographic impact of Paul Scibelli'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 Paul Scibelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Scibelli more than expected).
Fields of papers citing papers by Paul Scibelli
This network shows the impact of papers produced by Paul Scibelli. 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 Paul Scibelli. The network helps show where Paul Scibelli may publish in the future.
Co-authors
The 23 scholars most cited alongside Paul Scibelli, 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 | CD4 Regulatory T Cells Prevent Lethal Autoimmunity in IL-2Rβ-Deficient Mice Hit paper breakdown → | 2002 | 644 |
| 2 | 2000 | 127 | |
| 3 | 2001 | 71 | |
| 4 | 2006 | 39 | |
| 5 | 2001 | 34 | |
| 6 | 1997 | 27 | |
| 7 | 1996 | 22 | |
| 8 | 1997 | 19 | |
| 9 | 1997 | 17 | |
| 10 | 1997 | 6 | |
| 11 | 1997 | 5 | |
| 12 | 1997 | 2 | |
| 13 | 2007 | 1 | |
| 14 | 1996 | 1 | |
| 15 | 2005 | 1 |
About Paul Scibelli
Paul Scibelli is a scholar working on Physiology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (831 citations), Transplantation (22 citations), Oncology (153 citations), Physiology (99 citations) and Genetics (37 citations). Paul Scibelli has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Thomas R. Malek, Aixin Yu, Vladimir Vincek, Lin Kong, E K Codias, Brian Porter, Mathias G. Lichtenheld, Fiona Crawford, Michael Mullan and Michael Gold. Their work appears in journals such as The Journal of Immunology, Cytometry Part B Clinical Cytometry, Blood, Immunity and Current Protocols in Cytometry.
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.