Joanna Selfe
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Proteoglycans and glycosaminoglycans research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Sarcoma Diagnosis and Treatment 12
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- Epigenetics and DNA Methylation 2
- Co-authors
- Janet Shipley (25 shared papers)Khin Thway (9 shared papers)Edoardo Missiaglia (7 shared papers)Daniel Williamson (2 shared papers)Kathy Pritchard‐Jones (2 shared papers)Henning Wackerhage (2 shared papers)Graeme I. Murray (2 shared papers)Peter S. Zammit (2 shared papers)
- Journals
- Cancer Research (4 papers)Cancers (3 papers)Pediatric Blood & Cancer (2 papers)The Journal of Pathology (2 papers)Cancer Letters (1 paper)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Joanna Selfe
26 papers receiving 832 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 188
- Cancer Research 145
- Pulmonary and Respiratory Medicine 240
- Molecular Biology 467
- Oncology 171
Countries citing papers authored by Joanna Selfe
This map shows the geographic impact of Joanna Selfe'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 Joanna Selfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Selfe more than expected).
Fields of papers citing papers by Joanna Selfe
This network shows the impact of papers produced by Joanna Selfe. 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 Joanna Selfe. The network helps show where Joanna Selfe may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanna Selfe, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2013 | 112 | |
| 3 | 2009 | 83 | |
| 4 | 2007 | 78 | |
| 5 | 2013 | 73 | |
| 6 | 2017 | 48 | |
| 7 | 2019 | 43 | |
| 8 | 2016 | 36 | |
| 9 | 2017 | 25 | |
| 10 | 2016 | 25 | |
| 11 | 2016 | 25 | |
| 12 | 2018 | 24 | |
| 13 | 2004 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2011 | 18 | |
| 16 | 2023 | 12 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2018 | 7 |
About Joanna Selfe
Joanna Selfe is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Cell Biology and Pathology and Forensic Medicine, having authored 26 papers that have together received 835 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (12 papers), Cancer-related molecular mechanisms research (4 papers), Tumors and Oncological Cases (3 papers), CAR-T cell therapy research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Testicular diseases and treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Cell Biology (188 citations), Cancer Research (145 citations), Pulmonary and Respiratory Medicine (240 citations), Molecular Biology (467 citations) and Oncology (171 citations). Joanna Selfe has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Janet Shipley, Khin Thway, Edoardo Missiaglia, Daniel Williamson, Kathy Pritchard‐Jones, Henning Wackerhage, Graeme I. Murray, Peter S. Zammit, Kathryn R. Taylor and Jane Renshaw. Their work appears in journals such as Cancer Research, Cancers, Pediatric Blood & Cancer, The Journal of Pathology and Cancer Letters.
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.