Sean D. Mooney
- Molecular Biology top 2%
- Genetics top 1%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Predrag RadivojacMatthew MortD.N. CooperBiao LiVidhya G. KrishnanDiane M. KorngiebelFuxiao XinSimon Melov
- Topics
- Genomics and Rare Diseases (23 papers)RNA and protein synthesis mechanisms (19 papers)Bioinformatics and Genomic Networks (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Sean D. Mooney
134 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Biology 3.7k
- Genetics 1.3k
- Physiology 685
- Cellular and Molecular Neuroscience 438
- Epidemiology 414
Countries citing papers authored by Sean D. Mooney
This map shows the geographic impact of Sean D. Mooney'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 Sean D. Mooney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean D. Mooney more than expected).
Fields of papers citing papers by Sean D. Mooney
This network shows the impact of papers produced by Sean D. Mooney. 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 Sean D. Mooney. The network helps show where Sean D. Mooney may publish in the future.
Co-authorship network of co-authors of Sean D. Mooney
This figure shows the co-authorship network connecting the top 25 collaborators of Sean D. Mooney. A scholar is included among the top collaborators of Sean D. Mooney 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 Sean D. Mooney. Sean D. Mooney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 19 | |
| 6 | 11 | |
| 7 | Inferring the molecular and phenotypic impact of amino acid variants with MutPred2breakdown → | 426 |
| 8 | 32 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 78 | |
| 12 | 79 | |
| 13 | 21 | |
| 14 | 8 | |
| 15 | 34 | |
| 16 | Automated inference of molecular mechanisms of disease from amino acid substitutionsbreakdown → | 623 |
| 17 | 132 | |
| 18 | Python for Scientific Gateways Development | 2 |
| 19 | MutDB: update on development of tools for the biochemical analysis of genetic variation | 2 |
| 20 | MutDB services: interactive structural analysis of mutation data | 2 |
About Sean D. Mooney
Sean D. Mooney is a scholar working on Health Informatics, Aging and Health Information Management, having authored 140 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (23 papers), RNA and protein synthesis mechanisms (19 papers) and Bioinformatics and Genomic Networks (15 papers). The work is most often cited by research in Aging (286 citations), Health Informatics (130 citations) and Molecular Biology (3.7k citations). Sean D. Mooney has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Predrag Radivojac, Matthew Mort, D.N. Cooper, Biao Li, Vidhya G. Krishnan, Diane M. Korngiebel, Fuxiao Xin, Simon Melov, Lilia M. Iakoucheva and Vikas Pejaver. 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.