Murray N. Schnare
- Molecular Biology top 2%
- Ecology top 2%
- Genetics top 5%
- Plant Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Michael W. GrayRobin R. GutellJamie J. CannoneLisa M. D'SouzaNan YuNan LinKirsten M. MüllerNupur T. Pande
- Topics
- Genomics and Phylogenetic Studies (24 papers)RNA and protein synthesis mechanisms (23 papers)RNA modifications and cancer (18 papers)
- Cited by
- Molecular BiologyEcologyParasitology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Murray N. Schnare
40 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.7k
- Ecology 689
- Genetics 412
- Plant Science 384
- Ecology, Evolution, Behavior and Systematics 244
Countries citing papers authored by Murray N. Schnare
This map shows the geographic impact of Murray N. Schnare'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 Murray N. Schnare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray N. Schnare more than expected).
Fields of papers citing papers by Murray N. Schnare
This network shows the impact of papers produced by Murray N. Schnare. 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 Murray N. Schnare. The network helps show where Murray N. Schnare may publish in the future.
Co-authorship network of co-authors of Murray N. Schnare
This figure shows the co-authorship network connecting the top 25 collaborators of Murray N. Schnare. A scholar is included among the top collaborators of Murray N. Schnare 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 Murray N. Schnare. Murray N. Schnare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 95 | |
| 2 | 19 | |
| 3 | 25 | |
| 4 | 62 | |
| 5 | 36 | |
| 6 | 91 | |
| 7 | 6 | |
| 8 | 112 | |
| 9 | 11 | |
| 10 | 17 | |
| 11 | 153 | |
| 12 | 10 | |
| 13 | 401 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 54 | |
| 17 | 40 | |
| 18 | 73 | |
| 19 | 99 | |
| 20 | 3 |
About Murray N. Schnare
Murray N. Schnare is a scholar working on Parasitology, Molecular Biology and Ecology, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (23 papers) and RNA modifications and cancer (18 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Ecology (689 citations) and Parasitology (174 citations). Murray N. Schnare has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Michael W. Gray, Robin R. Gutell, Jamie J. Cannone, Lisa M. D'Souza, Nan Yu, Nan Lin, Kirsten M. Müller, Nupur T. Pande, Sankar Subramanian and James R. Collett. 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.