Ashley M. Smith
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Immunology top 10%
- Hematology top 5%
- Co-authors
- Lee HonigbergMint SirisawadErik VernerRichard A. MillerJoseph J. BuggyZhengying PanBetty ChangDouglas H. Thamm
- Topics
- Chronic Lymphocytic Leukemia Research (4 papers)Birth, Development, and Health (4 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ashley M. Smith
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 820
- Pathology and Forensic Medicine 566
- Molecular Biology 441
- Immunology 371
- Hematology 284
Countries citing papers authored by Ashley M. Smith
This map shows the geographic impact of Ashley M. Smith'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 Ashley M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley M. Smith more than expected).
Fields of papers citing papers by Ashley M. Smith
This network shows the impact of papers produced by Ashley M. Smith. 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 Ashley M. Smith. The network helps show where Ashley M. Smith may publish in the future.
Co-authorship network of co-authors of Ashley M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Ashley M. Smith. A scholar is included among the top collaborators of Ashley M. Smith 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 Ashley M. Smith. Ashley M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 32 | |
| 9 | 100 | |
| 10 | 30 | |
| 11 | The Bruton tyrosine kinase inhibitor PCI-32765 blocks B-cell activation and is efficacious in models of autoimmune disease and B-cell malignancybreakdown → | 1160 |
| 12 | 8 | |
| 13 | 2 | |
| 14 | Cytogenetic findings correlated with immune response to hepatitis virus B of institutionalized Down syndrome individuals. | 2 |
About Ashley M. Smith
Ashley M. Smith is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Fluid Flow and Transfer Processes, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Birth, Development, and Health (4 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Genetics (820 citations), Pathology and Forensic Medicine (566 citations) and Hematology (284 citations). Ashley M. Smith has collaborated with scholars based in United States, China and France. Frequent co-authors include Lee Honigberg, Mint Sirisawad, Erik Verner, Richard A. Miller, Joseph J. Buggy, Zhengying Pan, Betty Chang, Douglas H. Thamm, David Loury and Stephen Schauer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.
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.