Lee Spraggon
Impact in
- Urology top 10%
- Urological Disorders and Treatments
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- MicroRNA in disease regulation
Papers in ⓘ
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- Renal and related cancers 7
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 3
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- Sarcoma Diagnosis and Treatment 3
- Co-authors
- Nicholas D. Hastie (5 shared papers)Luca Cartegni (3 shared papers)Joan Slight (3 shared papers)Ekatherina Batourina (2 shared papers)Cathy Mendelsohn (2 shared papers)Tatiana Dudnakova (2 shared papers)Frank Costantini (1 shared paper)Gregg Duester (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)The Journal of Pathology (2 papers)Oncogene (2 papers)The Journal of Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Lee Spraggon
16 papers receiving 473 citations
Peers
Comparison fields: 5 of 65
- Urology 38
- Cancer Research 89
- Molecular Biology 397
- Pulmonary and Respiratory Medicine 107
- Nephrology 20
Countries citing papers authored by Lee Spraggon
This map shows the geographic impact of Lee Spraggon'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 Lee Spraggon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Spraggon more than expected).
Fields of papers citing papers by Lee Spraggon
This network shows the impact of papers produced by Lee Spraggon. 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 Lee Spraggon. The network helps show where Lee Spraggon may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Spraggon, 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 | 2009 | 126 | |
| 2 | 2015 | 89 | |
| 3 | 2003 | 33 | |
| 4 | 2006 | 31 | |
| 5 | 2013 | 31 | |
| 6 | 2020 | 24 | |
| 7 | 2013 | 24 | |
| 8 | 2009 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 2003 | 19 | |
| 11 | Genetic interactions between the Wilms' tumor 1 gene and the p53 gene. | 2002 | 15 |
| 12 | 2022 | 13 | |
| 13 | 2012 | 13 | |
| 14 | 2013 | 10 | |
| 15 | 2017 | 4 | |
| 16 | 2018 | 1 | |
| 17 | 2013 | 0 |
About Lee Spraggon
Lee Spraggon is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Urology and Cancer Research, having authored 17 papers that have together received 475 indexed citations. Recurring topics across this work include Renal and related cancers (7 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Protein Degradation and Inhibitors (3 papers), Sarcoma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (2 papers), Urological Disorders and Treatments (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Urology (38 citations), Cancer Research (89 citations), Molecular Biology (397 citations), Pulmonary and Respiratory Medicine (107 citations) and Nephrology (20 citations). Lee Spraggon has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nicholas D. Hastie, Luca Cartegni, Joan Slight, Ekatherina Batourina, Cathy Mendelsohn, Tatiana Dudnakova, Frank Costantini, Gregg Duester, Karen Niederreither and Pierre Chambon. Their work appears in journals such as Clinical Cancer Research, The Journal of Pathology, Oncogene, The Journal of Cell Biology and Proceedings of the National Academy of Sciences.
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.