Eugene C. Petrella
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 5
- Protein Structure and Dynamics 2
- Metabolomics and Mass Spectrometry Studies 1
- Cell Biology top 10%
- Immunology top 10%
- Complement system in diseases 7
- Biotechnology top 10%
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- Monoclonal and Polyclonal Antibodies Research 8
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- Click Chemistry and Applications 2
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- Computational Drug Discovery Methods 2
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- Neuroblastoma Research and Treatments 2
- Co-authors
- James C. MyslikPamela LaneMichael W. PantolianoE. R. GrafVictor S. LobanovBarry A. SpringerF.R. SalemmeCarl‐Wilhelm Vogel
- Journals
- Journal of Biological Chemistry (1 paper)The Journal of Immunology (4 papers)Biochemistry (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Eugene C. Petrella
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.1k
- Cell Biology 194
- Immunology 243
- Physical and Theoretical Chemistry 94
- Biotechnology 70
Countries citing papers authored by Eugene C. Petrella
This map shows the geographic impact of Eugene C. Petrella'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 Eugene C. Petrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene C. Petrella more than expected).
Fields of papers citing papers by Eugene C. Petrella
This network shows the impact of papers produced by Eugene C. Petrella. 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 Eugene C. Petrella. The network helps show where Eugene C. Petrella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eugene C. Petrella, 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 | 2011 | 208 | |
| 2 | 2011 | 12 | |
| 3 | 2004 | 130 | |
| 4 | 2004 | 51 | |
| 5 | High-Density Miniaturized Thermal Shift Assays as a General Strategy for Drug Discoverybreakdown → | 2001 | 704 |
| 6 | 2001 | 22 | |
| 7 | 1997 | 21 | |
| 8 | 1996 | 88 | |
| 9 | 1995 | 159 | |
| 10 | 1994 | 41 | |
| 11 | 1994 | 34 | |
| 12 | 1993 | 1 | |
| 13 | Molecular basis of complement resistance of human melanoma cells expressing the C3-cleaving membrane protease p65. | 1993 | 5 |
| 14 | 1992 | 50 | |
| 15 | 1990 | 33 | |
| 16 | 1990 | 36 | |
| 17 | 1987 | 27 |
About Eugene C. Petrella
Eugene C. Petrella is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Bioengineering, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Complement system in diseases (7 papers), Glycosylation and Glycoproteins Research (5 papers), Click Chemistry and Applications (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Neuroblastoma Research and Treatments (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (194 citations) and Immunology (243 citations). Eugene C. Petrella has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include James C. Myslik, Pamela Lane, Michael W. Pantoliano, E. R. Graf, Victor S. Lobanov, Barry A. Springer, F.R. Salemme, Carl‐Wilhelm Vogel, Michael Brigham‐Burke and Anne L. Plant. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemistry.
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.