Joseph P. Portanova
- Immunology top 5%
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Pharmacology top 1%
- Inflammatory mediators and NSAID effects 5
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 11
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- Monoclonal and Polyclonal Antibodies Research 13
- Biochemistry top 5%
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- Neuropeptides and Animal Physiology 2
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- Asthma and respiratory diseases 2
- Co-authors
- Brian L. KotzinPeter C. IsaksonKaren SeibertThomas J. SantoroGraham AndersonScott D. HauserJaime L. MasferrerS A Gregory
- Cited by
- ImmunologyPharmacologyRheumatology
- Journals
- The Journal of Experimental Medicine (2 papers)The Journal of Immunology (10 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Joseph P. Portanova
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Immunology 861
- Pharmacology 610
- Rheumatology 409
- Radiology, Nuclear Medicine and Imaging 415
- Biochemistry 126
Countries citing papers authored by Joseph P. Portanova
This map shows the geographic impact of Joseph P. Portanova'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 Joseph P. Portanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph P. Portanova more than expected).
Fields of papers citing papers by Joseph P. Portanova
This network shows the impact of papers produced by Joseph P. Portanova. 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 Joseph P. Portanova. The network helps show where Joseph P. Portanova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joseph P. Portanova, 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 | 2010 | 19 | |
| 2 | 2006 | 69 | |
| 3 | 2001 | 37 | |
| 4 | 2000 | 397 | |
| 5 | 1997 | 41 | |
| 6 | 1997 | 200 | |
| 7 | 1996 | 359 | |
| 8 | 1995 | 11 | |
| 9 | 1995 | 28 | |
| 10 | 1995 | 69 | |
| 11 | 1989 | 3 | |
| 12 | 1988 | 29 | |
| 13 | 1988 | 203 | |
| 14 | Lupus-like autoimmunity in murine graft-versus-host disease. | 1988 | 9 |
| 15 | 1988 | 34 | |
| 16 | 1987 | 82 | |
| 17 | 1986 | 20 | |
| 18 | 1982 | 72 | |
| 19 | 1981 | 20 | |
| 20 | 1979 | 2 |
About Joseph P. Portanova
Joseph P. Portanova is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Systemic Lupus Erythematosus Research (11 papers), T-cell and B-cell Immunology (8 papers), Inflammatory mediators and NSAID effects (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers), Neuropeptides and Animal Physiology (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Immunology (861 citations), Pharmacology (610 citations) and Rheumatology (409 citations). Joseph P. Portanova has collaborated with scholars based in United States and Russia. Frequent co-authors include Brian L. Kotzin, Peter C. Isakson, Karen Seibert, Thomas J. Santoro, Graham Anderson, Scott D. Hauser, Jaime L. Masferrer, S A Gregory, Yan Zhang and Catherine Harmon. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.
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.