Joan D. Ellis
- Physiology
- Molecular Biology
- Pharmacology top 10%
- Computational Theory and Mathematics top 5%
- Oncology
- Co-authors
- John D. GilbertRita A. HalpinLixia JinTimothy OlahShawn J. StachelCraig A. CoburnSethu SankaranarayananAdam J. Simon
- Topics
- HIV Research and Treatment (3 papers)HIV/AIDS drug development and treatment (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- Journal of Medicinal ChemistryAntimicrobial Agents and ChemotherapyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Joan D. Ellis
19 papers receiving 458 citations
Peers
Comparison fields: 5 of 78
- Physiology 132
- Molecular Biology 129
- Pharmacology 98
- Computational Theory and Mathematics 81
- Oncology 71
Countries citing papers authored by Joan D. Ellis
This map shows the geographic impact of Joan D. 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 Joan D. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan D. Ellis more than expected).
Fields of papers citing papers by Joan D. Ellis
This network shows the impact of papers produced by Joan D. 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 Joan D. Ellis. The network helps show where Joan D. Ellis may publish in the future.
Co-authorship network of co-authors of Joan D. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Joan D. Ellis. A scholar is included among the top collaborators of Joan D. 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 Joan D. Ellis. Joan D. 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 | 20 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 20 | |
| 6 | 83 | |
| 7 | 21 | |
| 8 | 67 | |
| 9 | PSA-specific and non-PSA-specific conversion of a PSA-targeted peptide conjugate of doxorubicin to its active metabolites. | 42 |
| 10 | 46 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 49 | |
| 17 | 16 | |
| 18 | 12 | |
| 19 | 16 |
About Joan D. Ellis
Joan D. Ellis is a scholar working on Virology, Pharmaceutical Science and Hepatology, having authored 19 papers that have together received 483 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), HIV/AIDS drug development and treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Pharmacology (98 citations), Computational Theory and Mathematics (81 citations) and Physiology (132 citations). Joan D. Ellis has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include John D. Gilbert, Rita A. Halpin, Lixia Jin, Timothy Olah, Shawn J. Stachel, Craig A. Coburn, Sethu Sankaranarayanan, Adam J. Simon, Eric A. Price and Kamlesh P. Vyas. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.
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.