Daniel J. Hodson
Impact in
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- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 23
-
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Co-authors
- Martin Turner (10 shared papers)Alison Galloway (3 shared papers)Philip Beer (5 shared papers)Simon Andrews (2 shared papers)Thankamma Ajithkumar (1 shared paper)Susanna L. Cooke (4 shared papers)Ryan D. Morin (2 shared papers)Sarah E. Arthur (1 shared paper)
- Journals
- Blood (8 papers)Proceedings of the National Academy of Sciences (3 papers)Blood Advances (2 papers)Clinical Radiology (2 papers)Hematological Oncology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel J. Hodson
39 papers receiving 1.4k citations
Daniel J. Hodson's Hit Papers
Peers
Comparison fields: 5 of 76
- Pathology and Forensic Medicine 463
- Genetics 250
- Cancer Research 293
- Immunology 334
- Oncology 359
Countries citing papers authored by Daniel J. Hodson
This map shows the geographic impact of Daniel J. Hodson'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 Daniel J. Hodson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Hodson more than expected).
Fields of papers citing papers by Daniel J. Hodson
This network shows the impact of papers produced by Daniel J. Hodson. 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 Daniel J. Hodson. The network helps show where Daniel J. Hodson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Hodson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report Hit paper breakdown → | 2020 | 276 |
| 2 | 2010 | 158 | |
| 3 | 2010 | 129 | |
| 4 | 2016 | 127 | |
| 5 | 2018 | 79 | |
| 6 | 2016 | 68 | |
| 7 | 2021 | 58 | |
| 8 | 2016 | 52 | |
| 9 | 2017 | 48 | |
| 10 | 2019 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2016 | 35 | |
| 13 | 2008 | 32 | |
| 14 | 2018 | 27 | |
| 15 | 2020 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2005 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2023 | 13 |
About Daniel J. Hodson
Daniel J. Hodson is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Genetics and Immunology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Chronic Lymphocytic Leukemia Research (14 papers), CAR-T cell therapy research (10 papers), Viral-associated cancers and disorders (6 papers), RNA Research and Splicing (6 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (463 citations), Genetics (250 citations), Cancer Research (293 citations), Immunology (334 citations) and Oncology (359 citations). Daniel J. Hodson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin Turner, Alison Galloway, Philip Beer, Simon Andrews, Thankamma Ajithkumar, Susanna L. Cooke, Ryan D. Morin, Sarah E. Arthur, Peter J. Campbell and Paul Glover. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Blood Advances, Clinical Radiology and Hematological Oncology.
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.