Matthew Smith
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Genomic variations and chromosomal abnormalities
Papers in
-
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
-
- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Jude Fitzgibbon (4 shared papers)Tim Lister (3 shared papers)Lan‐Lan Smith (2 shared papers)Bryan D. Young (1 shared paper)Debra M. Lillington (1 shared paper)Manoj Raghavan (1 shared paper)Spyros Skoulakis (1 shared paper)Silvana Debernardi (1 shared paper)
- Journals
- Blood (3 papers)Journal of Vascular Surgery (1 paper)Annals of Vascular Surgery (1 paper)Cancer Research (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Matthew Smith
8 papers receiving 302 citations
Peers
Comparison fields: 5 of 26
- Hematology 220
- Genetics 80
- Cancer Research 42
- Molecular Biology 140
- Public Health, Environmental and Occupational Health 45
Countries citing papers authored by Matthew Smith
This map shows the geographic impact of Matthew 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 Matthew Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Smith more than expected).
Fields of papers citing papers by Matthew Smith
This network shows the impact of papers produced by Matthew 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 Matthew Smith. The network helps show where Matthew Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 179 | |
| 2 | 2003 | 89 | |
| 3 | 2005 | 28 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2004 | 2 | |
| 8 | 2021 | 1 |
About Matthew Smith
Matthew Smith is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Oncology and Genetics, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Lung Cancer Treatments and Mutations (1 paper), Ubiquitin and proteasome pathways (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (220 citations), Genetics (80 citations), Cancer Research (42 citations), Molecular Biology (140 citations) and Public Health, Environmental and Occupational Health (45 citations). Matthew Smith has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jude Fitzgibbon, Tim Lister, Lan‐Lan Smith, Bryan D. Young, Debra M. Lillington, Manoj Raghavan, Spyros Skoulakis, Silvana Debernardi, Michael Neat and Amanda Dixon‐McIver. Their work appears in journals such as Blood, Journal of Vascular Surgery, Annals of Vascular Surgery, Cancer Research and Genes Chromosomes and Cancer.
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.