Stephen Rapecki
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
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- Monoclonal and Polyclonal Antibodies Research
Papers in ⓘ
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 2
- Galectins and Cancer Biology 1
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- Cell Adhesion Molecules Research 2
- Co-authors
- Dale Starkie (1 shared paper)Joanne Compson (1 shared paper)Daniel Lightwood (2 shared papers)Rodger A. Allen (2 shared papers)Alastair D. G. Lawson (2 shared papers)David McMillan (2 shared papers)Tim Bourne (1 shared paper)Tom Ceska (1 shared paper)
- Journals
- Scientific Reports (2 papers)mAbs (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Nature Communications (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomSwedenBelgium
In The Last Decade
Stephen Rapecki
11 papers receiving 264 citations
Peers
Comparison fields: 5 of 77
- Immunology 113
- Radiology, Nuclear Medicine and Imaging 69
- Rheumatology 44
- Oncology 53
- Pharmacology 14
Countries citing papers authored by Stephen Rapecki
This map shows the geographic impact of Stephen Rapecki'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 Stephen Rapecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rapecki more than expected).
Fields of papers citing papers by Stephen Rapecki
This network shows the impact of papers produced by Stephen Rapecki. 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 Stephen Rapecki. The network helps show where Stephen Rapecki may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Rapecki, 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 | 2019 | 81 | |
| 2 | 2019 | 50 | |
| 3 | 2016 | 45 | |
| 4 | 2017 | 36 | |
| 5 | 2010 | 24 | |
| 6 | 2002 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2004 | 2 | |
| 11 | 2016 | 2 |
About Stephen Rapecki
Stephen Rapecki is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Pharmacology and Oncology, having authored 11 papers that have together received 272 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers), Quinazolinone synthesis and applications (2 papers), Melanoma and MAPK Pathways (2 papers), Cell Adhesion Molecules Research (2 papers), Immune Cell Function and Interaction (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (113 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Rheumatology (44 citations), Oncology (53 citations) and Pharmacology (14 citations). Stephen Rapecki has collaborated with scholars based in United Kingdom, Sweden and Belgium. Frequent co-authors include Dale Starkie, Joanne Compson, Daniel Lightwood, Rodger A. Allen, Alastair D. G. Lawson, David McMillan, Tim Bourne, Tom Ceska, Fabien Lecomte and Rachel E. Davis. Their work appears in journals such as Scientific Reports, mAbs, Journal of Pharmacology and Experimental Therapeutics, Nature Communications and Annals of the Rheumatic Diseases.
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.