Christopher R. Ellis
- Molecular Biology
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics top 10%
- Pharmacology top 10%
- Materials Chemistry
- Co-authors
- Jana ShenPaween MahinthichaichanQuynh N. VoW. G. NoidLidiya StavitskayaEdward G. HawkinsNaomi L. KruhlakMarlene T. Kim
- Topics
- Protein Structure and Dynamics (4 papers)Glycosylation and Glycoproteins Research (3 papers)Computational Drug Discovery Methods (3 papers)
- Journals
- Journal of the American Chemical SocietyNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Christopher R. Ellis
15 papers receiving 402 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 246
- Cellular and Molecular Neuroscience 90
- Computational Theory and Mathematics 72
- Pharmacology 60
- Materials Chemistry 58
Countries citing papers authored by Christopher R. Ellis
This map shows the geographic impact of Christopher R. Ellis'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 R. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. Ellis more than expected).
Fields of papers citing papers by Christopher R. Ellis
This network shows the impact of papers produced by Christopher R. Ellis. 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 R. Ellis. The network helps show where Christopher R. Ellis may publish in the future.
Co-authorship network of co-authors of Christopher R. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Ellis. A scholar is included among the top collaborators of Christopher R. Ellis 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 R. Ellis. Christopher R. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 15 | |
| 4 | 80 | |
| 5 | 26 | |
| 6 | 41 | |
| 7 | 12 | |
| 8 | 56 | |
| 9 | 29 | |
| 10 | 18 | |
| 11 | 64 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 20 |
About Christopher R. Ellis
Christopher R. Ellis is a scholar working on Internal Medicine, Biotechnology and Pharmacology, having authored 15 papers that have together received 410 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmacology (60 citations), Biochemistry (45 citations) and Cellular and Molecular Neuroscience (90 citations). Christopher R. Ellis has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Jana Shen, Paween Mahinthichaichan, Quynh N. Vo, W. G. Noid, Lidiya Stavitskaya, Edward G. Hawkins, Naomi L. Kruhlak, Marlene T. Kim, Cheng‐Chieh Tsai and Buddhadev Maiti. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.
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.