Elizabeth Joshi
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Organic Chemistry
- Cellular and Molecular Neuroscience
- Co-authors
- Alan C. ChengVijay S. PandeEvan N. FeinbergTimothy L. MacdonaldBrian HeasleyMahendra D. ChordiaRobert P. SheridanMatthew Tudor
- Topics
- Computational Drug Discovery Methods (4 papers)Machine Learning in Materials Science (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Journals
- Journal of Medicinal ChemistryChemical Research in ToxicologyDrug Metabolism and Disposition
- Partner nations
- United StatesSpainIndia
In The Last Decade
Elizabeth Joshi
14 papers receiving 415 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 227
- Computational Theory and Mathematics 193
- Materials Chemistry 98
- Organic Chemistry 72
- Cellular and Molecular Neuroscience 69
Countries citing papers authored by Elizabeth Joshi
This map shows the geographic impact of Elizabeth Joshi'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 Elizabeth Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Joshi more than expected).
Fields of papers citing papers by Elizabeth Joshi
This network shows the impact of papers produced by Elizabeth Joshi. 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 Elizabeth Joshi. The network helps show where Elizabeth Joshi may publish in the future.
Co-authorship network of co-authors of Elizabeth Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Joshi. A scholar is included among the top collaborators of Elizabeth Joshi 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 Elizabeth Joshi. Elizabeth Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 125 | |
| 4 | 43 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 49 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 25 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 58 |
About Elizabeth Joshi
Elizabeth Joshi is a scholar working on Pharmacology, Computational Theory and Mathematics and Developmental Neuroscience, having authored 14 papers that have together received 425 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (193 citations), Pharmacology (61 citations) and Cellular and Molecular Neuroscience (69 citations). Elizabeth Joshi has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Alan C. Cheng, Vijay S. Pande, Evan N. Feinberg, Timothy L. Macdonald, Brian Heasley, Mahendra D. Chordia, Robert P. Sheridan, Matthew Tudor, Vanessa Barth and Prabha Karnachi. Their work appears in journals such as Journal of Medicinal Chemistry, Chemical Research in Toxicology and Drug Metabolism and Disposition.
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.