Catherine A. Prody
- Molecular Biology top 10%
- Pharmacology top 2%
- Computational Theory and Mathematics top 2%
- Genetics top 10%
- Plant Science
- Co-authors
- G F AmesSydney KustuHermona SoreqJohn P. MerlieAverell GnattH ZakutJohn W. CallahanAleksander Hinek
- Topics
- Computational Drug Discovery Methods (8 papers)Cholinesterase and Neurodegenerative Diseases (8 papers)Glycosylation and Glycoproteins Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Catherine A. Prody
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 964
- Pharmacology 516
- Computational Theory and Mathematics 330
- Genetics 249
- Plant Science 157
Countries citing papers authored by Catherine A. Prody
This map shows the geographic impact of Catherine A. Prody'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 Catherine A. Prody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. Prody more than expected).
Fields of papers citing papers by Catherine A. Prody
This network shows the impact of papers produced by Catherine A. Prody. 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 Catherine A. Prody. The network helps show where Catherine A. Prody may publish in the future.
Co-authorship network of co-authors of Catherine A. Prody
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine A. Prody. A scholar is included among the top collaborators of Catherine A. Prody 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 Catherine A. Prody. Catherine A. Prody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 144 | |
| 2 | 158 | |
| 3 | 43 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 49 | |
| 7 | 67 | |
| 8 | 71 | |
| 9 | 63 | |
| 10 | Expression of alternatively terminated unusual human butyrylcholinesterase messenger RNA transcripts, mapping to chromosome 3q26-ter, in nervous system tumors. | 33 |
| 11 | 167 | |
| 12 | 76 | |
| 13 | 60 | |
| 14 | 11 | |
| 15 | 154 | |
| 16 | 23 | |
| 17 | 27 | |
| 18 | 312 | |
| 19 | 18 | |
| 20 | 1 |
About Catherine A. Prody
Catherine A. Prody is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Pharmacology (516 citations), Computational Theory and Mathematics (330 citations) and Molecular Biology (964 citations). Catherine A. Prody has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include G F Ames, Sydney Kustu, Hermona Soreq, John P. Merlie, Averell Gnatt, H Zakut, John W. Callahan, Aleksander Hinek, Salvatore Privitera and D. Zevin‐Sonkin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.