Tom Burdon
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
- Aging top 5%
Papers in
- Genetics 13
- Animal Genetics and Reproduction 8
- Virus-based gene therapy research 4
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- Pluripotent Stem Cells Research 16
- CRISPR and Genetic Engineering 14
- Renal and related cancers 3
- Co-authors
- Austin T. Smith (1 shared paper)Pierre Savatier (1 shared paper)Ian Chambers (4 shared papers)Craig Stracey (2 shared papers)Austin G Smith (4 shared papers)Linda Sutherland (11 shared papers)Jennifer Nichols (3 shared papers)David C. Hay (1 shared paper)
- Journals
- Stem Cell Reports (3 papers)Developmental Biology (3 papers)Scientific Reports (3 papers)Stem Cells (3 papers)Cellular Reprogramming (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tom Burdon
36 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.5k
- Aging 53
- Developmental Neuroscience 115
- Genetics 503
- Cellular and Molecular Neuroscience 267
Countries citing papers authored by Tom Burdon
This map shows the geographic impact of Tom Burdon'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 Tom Burdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Burdon more than expected).
Fields of papers citing papers by Tom Burdon
This network shows the impact of papers produced by Tom Burdon. 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 Tom Burdon. The network helps show where Tom Burdon may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Burdon, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 595 | |
| 2 | 1999 | 476 | |
| 3 | 2011 | 396 | |
| 4 | 2004 | 321 | |
| 5 | 2006 | 291 | |
| 6 | 2011 | 160 | |
| 7 | 1999 | 153 | |
| 8 | 1991 | 127 | |
| 9 | 2018 | 109 | |
| 10 | 1998 | 106 | |
| 11 | 1991 | 60 | |
| 12 | 2017 | 51 | |
| 13 | 2012 | 47 | |
| 14 | 2010 | 37 | |
| 15 | Whey acidic protein extrinsically expressed from the mouse mammary tumor virus long terminal repeat results in hyperplasia of the coagulation gland epithelium and impaired mammary development. | 1994 | 37 |
| 16 | 2013 | 36 | |
| 17 | 2012 | 27 | |
| 18 | 2016 | 26 | |
| 19 | 2016 | 25 | |
| 20 | 1989 | 23 |
About Tom Burdon
Tom Burdon is a scholar working on Genetics, Molecular Biology, Oncology, Cellular and Molecular Neuroscience and Biotechnology, having authored 37 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (14 papers), Animal Genetics and Reproduction (8 papers), Virus-based gene therapy research (4 papers), Nuclear Receptors and Signaling (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Renal and related cancers (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Aging (53 citations), Developmental Neuroscience (115 citations), Genetics (503 citations) and Cellular and Molecular Neuroscience (267 citations). Tom Burdon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Austin T. Smith, Pierre Savatier, Ian Chambers, Craig Stracey, Austin G Smith, Linda Sutherland, Jennifer Nichols, David C. Hay, JOHN F. J. CLARK and Alison J. Thomson. Their work appears in journals such as Stem Cell Reports, Developmental Biology, Scientific Reports, Stem Cells and Cellular Reprogramming.
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.