Matthew D. Healy
- Molecular Biology
- Infectious Diseases
- Virology top 5%
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Co-authors
- Gordon M. ShepherdPerry L. MillerPrakash M. NadkarniEmmanouil SkoufosMichael S. SingerNeelanjana RayCarey HwangMark Krystal
- Topics
- Bioinformatics and Genomic Networks (3 papers)Genomics and Phylogenetic Studies (3 papers)RNA and protein synthesis mechanisms (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Matthew D. Healy
17 papers receiving 352 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 123
- Infectious Diseases 102
- Virology 86
- Cognitive Neuroscience 74
- Cellular and Molecular Neuroscience 46
Countries citing papers authored by Matthew D. Healy
This map shows the geographic impact of Matthew D. Healy'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 Matthew D. Healy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Healy more than expected).
Fields of papers citing papers by Matthew D. Healy
This network shows the impact of papers produced by Matthew D. Healy. 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 Matthew D. Healy. The network helps show where Matthew D. Healy may publish in the future.
Co-authorship network of co-authors of Matthew D. Healy
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Healy. A scholar is included among the top collaborators of Matthew D. Healy 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 Matthew D. Healy. Matthew D. Healy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multi-omics data integration identifies novel biomarkers and patient subgroups in inflammatory bowel diseasebreakdown → | 13 |
| 2 | 15 | |
| 3 | Lessons Learned from International Space Station Crew Autonomous Scheduling Test | 6 |
| 4 | Increasing Human Spaceflight Capabilities: Demonstration of Crew Autonomy Through Self-Scheduling Onboard International Space Station | 1 |
| 5 | 55 | |
| 6 | 39 | |
| 7 | 5 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 96 | |
| 15 | 27 | |
| 16 | 20 | |
| 17 | 27 |
About Matthew D. Healy
Matthew D. Healy is a scholar working on Virology, Sensory Systems and Biophysics, having authored 17 papers that have together received 364 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Virology (86 citations), Sensory Systems (38 citations) and Infectious Diseases (102 citations). Matthew D. Healy has collaborated with scholars based in United States and Germany. Frequent co-authors include Gordon M. Shepherd, Perry L. Miller, Prakash M. Nadkarni, Emmanouil Skoufos, Michael S. Singer, Neelanjana Ray, Carey Hwang, Mark Krystal, Max Lataillade and George J. Hanna. Their work appears in journals such as Nucleic Acids Research, Trends in Neurosciences and Journal of Antimicrobial Chemotherapy.
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.