Patricia Pellicena
- Molecular Biology top 5%
- Hematology top 0.5%
- Genetics top 1%
- Oncology top 5%
- Cell Biology top 2%
- Co-authors
- John KuriyanW. Todd MillerWilliam G. BornmannThomas H. SchindlerBayard ClarksonHoward SchulmanDarren R. VeachBhushan Nagar
- Topics
- Protein Kinase Regulation and GTPase Signaling (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)DNA Repair Mechanisms (4 papers)
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesBelgiumRussia
In The Last Decade
Patricia Pellicena
23 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.0k
- Hematology 1.3k
- Genetics 879
- Oncology 579
- Cell Biology 577
Countries citing papers authored by Patricia Pellicena
This map shows the geographic impact of Patricia Pellicena'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 Patricia Pellicena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Pellicena more than expected).
Fields of papers citing papers by Patricia Pellicena
This network shows the impact of papers produced by Patricia Pellicena. 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 Patricia Pellicena. The network helps show where Patricia Pellicena may publish in the future.
Co-authorship network of co-authors of Patricia Pellicena
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Pellicena. A scholar is included among the top collaborators of Patricia Pellicena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Pellicena. Patricia Pellicena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 55 | |
| 6 | 180 | |
| 7 | 89 | |
| 8 | 98 | |
| 9 | 90 | |
| 10 | 75 | |
| 11 | 184 | |
| 12 | 216 | |
| 13 | 145 | |
| 14 | 74 | |
| 15 | 20 | |
| 16 | 18 | |
| 17 | Crystal structures of the kinase domain of c-Abl in complex with the small molecule inhibitors PD173955 and imatinib (STI-571).breakdown → | 731 |
| 18 | 105 | |
| 19 | 58 | |
| 20 | 14 |
About Patricia Pellicena
Patricia Pellicena is a scholar working on Molecular Biology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (879 citations) and Rheumatology (566 citations). Patricia Pellicena has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include John Kuriyan, W. Todd Miller, William G. Bornmann, Thomas H. Schindler, Bayard Clarkson, Howard Schulman, Darren R. Veach, Bhushan Nagar, Bayard D. Clarkson and Michael A. Marletta. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.