James Dalton
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 16
- Hematology top 1%
- Acute Myeloid Leukemia Research 4
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 7
- Neurology top 2%
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- Acute Lymphoblastic Leukemia research 8
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- Hedgehog Signaling Pathway Studies 6
- Chromatin Remodeling and Cancer 5
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- Salivary Gland Tumors Diagnosis and Treatment 4
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- Ear and Head Tumors 3
- Co-authors
- Anthony V. SeaberWilliam E. GarrettDean C. TaylorAmar GajjarXiaoping SuRichard J. GilbertsonMichael D. TaylorDavid W. Ellison
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
James Dalton
42 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 1.9k
- Hematology 733
- Orthopedics and Sports Medicine 491
- Cancer Research 705
- Neurology 677
Countries citing papers authored by James Dalton
This map shows the geographic impact of James Dalton'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 James Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Dalton more than expected).
Fields of papers citing papers by James Dalton
This network shows the impact of papers produced by James Dalton. 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 James Dalton. The network helps show where James Dalton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Dalton, 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 | 2022 | 4 | |
| 2 | 2020 | 10 | |
| 3 | 2018 | 37 | |
| 4 | 2018 | 59 | |
| 5 | 2016 | 4 | |
| 6 | 2016 | 56 | |
| 7 | 2014 | 43 | |
| 8 | 2012 | 8 | |
| 9 | 2012 | 72 | |
| 10 | 2011 | 81 | |
| 11 | 2010 | 203 | |
| 12 | 2009 | 218 | |
| 13 | 2009 | 314 | |
| 14 | Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemiabreakdown → | 2007 | 1237 |
| 15 | Radial glia cells are candidate stem cells of ependymomabreakdown → | 2005 | 579 |
| 16 | 2003 | 65 | |
| 17 | 2002 | 3 | |
| 18 | 2001 | 28 | |
| 19 | 1997 | 48 | |
| 20 | 1992 | 7 |
About James Dalton
James Dalton is a scholar working on Genetics, Structural Biology, Cancer Research, Neurology and Hematology, having authored 44 papers that have together received 5.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Acute Lymphoblastic Leukemia research (8 papers), Cancer Genomics and Diagnostics (7 papers), Hedgehog Signaling Pathway Studies (6 papers), Chromatin Remodeling and Cancer (5 papers), Acute Myeloid Leukemia Research (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers) and Ear and Head Tumors (3 papers). The work is most often cited by research in Genetics (1.9k citations), Hematology (733 citations), Orthopedics and Sports Medicine (491 citations), Cancer Research (705 citations) and Neurology (677 citations). James Dalton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anthony V. Seaber, William E. Garrett, Dean C. Taylor, Amar Gajjar, Xiaoping Su, Richard J. Gilbertson, Michael D. Taylor, David W. Ellison, Christine Fuller and James R. Downing. Their work appears in journals such as Acta Neuropathologica, Blood, Leukemia, Journal of Clinical Oncology 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.