Christopher A. Pargellis
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Genetics top 10%
- Oncology
- Computational Theory and Mathematics top 5%
- Co-authors
- Arthur LandyLina Moitoso de VargasSusan PavSimone E. Nunes-DübyLiang TongDella WhiteCharles L. CywinK. Crane
- Topics
- Melanoma and MAPK Pathways (9 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Christopher A. Pargellis
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 859
- Organic Chemistry 208
- Genetics 194
- Oncology 185
- Computational Theory and Mathematics 151
Countries citing papers authored by Christopher A. Pargellis
This map shows the geographic impact of Christopher A. Pargellis'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 Christopher A. Pargellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher A. Pargellis more than expected).
Fields of papers citing papers by Christopher A. Pargellis
This network shows the impact of papers produced by Christopher A. Pargellis. 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 Christopher A. Pargellis. The network helps show where Christopher A. Pargellis may publish in the future.
Co-authorship network of co-authors of Christopher A. Pargellis
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Pargellis. A scholar is included among the top collaborators of Christopher A. Pargellis 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 Christopher A. Pargellis. Christopher A. Pargellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 94 | |
| 3 | 10 | |
| 4 | 47 | |
| 5 | 36 | |
| 6 | 92 | |
| 7 | 84 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 337 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 24 | |
| 16 | 138 | |
| 17 | 178 |
About Christopher A. Pargellis
Christopher A. Pargellis is a scholar working on Biochemistry, Computational Theory and Mathematics and Physiology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (859 citations), Computational Theory and Mathematics (151 citations) and Organic Chemistry (208 citations). Christopher A. Pargellis has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Arthur Landy, Lina Moitoso de Vargas, Susan Pav, Simone E. Nunes-Düby, Liang Tong, Della White, Charles L. Cywin, K. Crane, Sheri Rogers and Maryanne L. Brown. Their work appears in journals such as Cell, 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.