Joanna Selfe
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- Sarcoma Diagnosis and Treatment
Papers in
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- Sarcoma Diagnosis and Treatment 14
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- JANET M. SHIPLEY (25 shared papers)Khin Thway (9 shared papers)Edoardo Missiaglia (7 shared papers)Kathy Pritchard‐Jones (2 shared papers)Daniel S. Williamson (2 shared papers)Henning Wackerhage (2 shared papers)Graeme I. Murray (2 shared papers)Peter S. Zammit (2 shared papers)
- Journals
- Cancer Research (5 papers)The Journal of Pathology (3 papers)Cancers (3 papers)Pediatric Blood & Cancer (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Joanna Selfe
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Cancer Research 206
- Pulmonary and Respiratory Medicine 440
- Cell Biology 211
- Oncology 274
- Molecular Biology 642
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 153 | |
| 2 | 2021 | 151 | |
| 3 | 2013 | 126 | |
| 4 | 2009 | 92 | |
| 5 | 2013 | 88 | |
| 6 | 2007 | 82 | |
| 7 | 2011 | 77 | |
| 8 | 2017 | 50 | |
| 9 | 2022 | 48 | |
| 10 | 2019 | 45 | |
| 11 | 2016 | 38 | |
| 12 | 2021 | 30 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2016 | 26 | |
| 16 | 2018 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2004 | 20 | |
| 19 | 2011 | 19 | |
| 20 | 2018 | 18 |
About Joanna Selfe
Joanna Selfe is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Cell Biology, Oncology and Molecular Biology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (14 papers), Cancer-related molecular mechanisms research (4 papers), CAR-T cell therapy research (3 papers), Tumors and Oncological Cases (3 papers), Cancer Genomics and Diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Epigenetics and DNA Methylation (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (206 citations), Pulmonary and Respiratory Medicine (440 citations), Cell Biology (211 citations), Oncology (274 citations) and Molecular Biology (642 citations). Joanna Selfe has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include JANET M. SHIPLEY, Khin Thway, Edoardo Missiaglia, Kathy Pritchard‐Jones, Daniel S. Williamson, Henning Wackerhage, Graeme I. Murray, Peter S. Zammit, Jane Renshaw and Kathryn R. Taylor. Their work appears in journals such as Cancer Research, The Journal of Pathology, Cancers, Pediatric Blood & Cancer and Clinical Cancer Research.
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.