Daniel Thomson
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
Papers in ⓘ
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
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- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Marcel E. Dinger (4 shared papers)Gregory J. Goodall (5 shared papers)Cameron P. Bracken (5 shared papers)Nenad Bartoniček (1 shared paper)Jesper L.V. Mååg (1 shared paper)Michael B. Clark (1 shared paper)Bethany Signal (1 shared paper)Brian Gloss (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Blood (3 papers)Leukemia (2 papers)The EMBO Journal (1 paper)Psycho-Oncology (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Daniel Thomson
17 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 2.4k
- Molecular Biology 2.6k
- Endocrinology 83
- Genetics 77
- Immunology 130
Countries citing papers authored by Daniel Thomson
This map shows the geographic impact of Daniel Thomson'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 Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Thomson more than expected).
Fields of papers citing papers by Daniel Thomson
This network shows the impact of papers produced by Daniel Thomson. 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 Thomson. The network helps show where Daniel Thomson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Thomson, 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 | Endogenous microRNA sponges: evidence and controversy Hit paper breakdown → | 2016 | 1620 |
| 2 | 2011 | 442 | |
| 3 | 2014 | 420 | |
| 4 | 2011 | 116 | |
| 5 | 2014 | 115 | |
| 6 | 2013 | 99 | |
| 7 | 2011 | 69 | |
| 8 | 2020 | 35 | |
| 9 | 2014 | 34 | |
| 10 | 2020 | 24 | |
| 11 | 2000 | 11 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2019 | 1 |
About Daniel Thomson
Daniel Thomson is a scholar working on Cancer Research, Hematology, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), RNA Research and Splicing (5 papers), Acute Lymphoblastic Leukemia research (4 papers), RNA modifications and cancer (3 papers), RNA Interference and Gene Delivery (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (2.6k citations), Endocrinology (83 citations), Genetics (77 citations) and Immunology (130 citations). Daniel Thomson has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Marcel E. Dinger, Gregory J. Goodall, Cameron P. Bracken, Nenad Bartoniček, Jesper L.V. Mååg, Michael B. Clark, Bethany Signal, Brian Gloss, Jan M. Szubert and David Lawrence. Their work appears in journals such as Nucleic Acids Research, Blood, Leukemia, The EMBO Journal and Psycho-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.