Michael L. Astion
- Physiology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Statistics, Probability and Uncertainty top 1%
- Epidemiology
- Co-authors
- Richard K. OrkandPeter WildingSara KimJonathan A. ColesValerie NgKaveh G ShojaniaMark H. WenerEric A. Newman
- Topics
- Clinical Laboratory Practices and Quality Control (14 papers)Neuroscience and Neuropharmacology Research (7 papers)Clinical Reasoning and Diagnostic Skills (7 papers)
- Partner nations
- United StatesPuerto RicoUnited Kingdom
In The Last Decade
Michael L. Astion
47 papers receiving 989 citations
Peers
Comparison fields: 5 of 143
- Physiology 361
- Molecular Biology 255
- Cellular and Molecular Neuroscience 198
- Statistics, Probability and Uncertainty 172
- Epidemiology 131
Countries citing papers authored by Michael L. Astion
This map shows the geographic impact of Michael L. Astion'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 Michael L. Astion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Astion more than expected).
Fields of papers citing papers by Michael L. Astion
This network shows the impact of papers produced by Michael L. Astion. 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 Michael L. Astion. The network helps show where Michael L. Astion may publish in the future.
Co-authorship network of co-authors of Michael L. Astion
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Astion. A scholar is included among the top collaborators of Michael L. Astion 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 Michael L. Astion. Michael L. Astion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 27 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | 89 | |
| 14 | 12 | |
| 15 | 40 | |
| 16 | 33 | |
| 17 | 10 | |
| 18 | 63 | |
| 19 | 22 | |
| 20 | 49 |
About Michael L. Astion
Michael L. Astion is a scholar working on Family Practice, Medical Laboratory Technology and Statistics, Probability and Uncertainty, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Clinical Reasoning and Diagnostic Skills (7 papers). The work is most often cited by research in Family Practice (91 citations), Medical Laboratory Technology (52 citations) and Statistics, Probability and Uncertainty (172 citations). Michael L. Astion has collaborated with scholars based in United States, Puerto Rico and United Kingdom. Frequent co-authors include Richard K. Orkand, Peter Wilding, Sara Kim, Jonathan A. Coles, Valerie Ng, Kaveh G Shojania, Mark H. Wener, Eric A. Newman, Héctor Marrero and Ronald G. Thomas. Their work appears in journals such as Nature, Biophysical Journal and Journal of Clinical Microbiology.
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.