Peter E. Daddona
Impact in
- Pharmaceutical Science top 0.1%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
Papers in
- Physiology 32
- Adenosine and Purinergic Signaling 32
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- Advancements in Transdermal Drug Delivery 11
- Co-authors
- William N. Kelley (25 shared papers)James I. Nagy (16 shared papers)Michel Cormier (9 shared papers)John Ghrayeb (8 shared papers)James A. Matriano (3 shared papers)Scott A. Siegel (5 shared papers)David J. Shealy (3 shared papers)Junming Le (2 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Pharmaceutical Research (5 papers)Neuroscience (5 papers)Journal of Clinical Investigation (5 papers)Journal of the American Chemical Society (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Peter E. Daddona
102 papers receiving 4.7k citations
Peter E. Daddona's Hit Papers
Peers
Comparison fields: 5 of 125
- Pharmaceutical Science 1.2k
- Physiology 670
- Dermatology 619
- Immunology 1.1k
- Molecular Biology 2.0k
Countries citing papers authored by Peter E. Daddona
This map shows the geographic impact of Peter E. Daddona'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 Peter E. Daddona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Daddona more than expected).
Fields of papers citing papers by Peter E. Daddona
This network shows the impact of papers produced by Peter E. Daddona. 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 Peter E. Daddona. The network helps show where Peter E. Daddona may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter E. Daddona, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Construction and initial characterization of a mouse-human chimeric anti-TNF antibody Hit paper breakdown → | 1993 | 614 |
| 2 | 2002 | 314 | |
| 3 | 2004 | 263 | |
| 4 | 2010 | 205 | |
| 5 | 1995 | 187 | |
| 6 | 1978 | 181 | |
| 7 | 2005 | 180 | |
| 8 | 1988 | 177 | |
| 9 | 2001 | 155 | |
| 10 | 1991 | 144 | |
| 11 | 1977 | 143 | |
| 12 | 2009 | 119 | |
| 13 | 1984 | 103 | |
| 14 | 1993 | 101 | |
| 15 | 1979 | 97 | |
| 16 | 1987 | 92 | |
| 17 | 1986 | 84 | |
| 18 | 1985 | 73 | |
| 19 | 1978 | 73 | |
| 20 | 1986 | 72 |
About Peter E. Daddona
Peter E. Daddona is a scholar working on Physiology, Pharmaceutical Science, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 102 papers that have together received 5.2k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (32 papers), Biochemical and Molecular Research (27 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Cytomegalovirus and herpesvirus research (15 papers), Advancements in Transdermal Drug Delivery (11 papers), Nerve injury and regeneration (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Pharmaceutical Science (1.2k citations), Physiology (670 citations), Dermatology (619 citations), Immunology (1.1k citations) and Molecular Biology (2.0k citations). Peter E. Daddona has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include William N. Kelley, James I. Nagy, Michel Cormier, John Ghrayeb, James A. Matriano, Scott A. Siegel, David J. Shealy, Junming Le, J Vilček and Yuh‐Fun Maa. Their work appears in journals such as Journal of Biological Chemistry, Pharmaceutical Research, Neuroscience, Journal of Clinical Investigation and Journal of the American Chemical Society.
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.