Katherine Sully
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Dermatology top 10%
Papers in
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- Wnt/β-catenin signaling in development and cancer 2
- PI3K/AKT/mTOR signaling in cancer 2
- Kruppel-like factors research 1
- Protein Degradation and Inhibitors 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Ryan F.L. O’Shaughnessy (4 shared papers)Carolyn Byrne (3 shared papers)Olufolake Akinduro (3 shared papers)Catherine Harwood (2 shared papers)Michael P. Philpott (2 shared papers)Fiona Germaschewski (4 shared papers)Richard F. Lamb (2 shared papers)Lijun Yan (2 shared papers)
- Journals
- British Journal of Haematology (1 paper)Development (1 paper)European Journal of Cancer (1 paper)Journal of Investigative Dermatology (1 paper)Osteoarthritis and Cartilage (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Katherine Sully
10 papers receiving 537 citations
Peers
Comparison fields: 5 of 70
- Hematology 100
- Dermatology 52
- Cell Biology 95
- Oncology 141
- Immunology 104
Countries citing papers authored by Katherine Sully
This map shows the geographic impact of Katherine Sully'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 Katherine Sully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Sully more than expected).
Fields of papers citing papers by Katherine Sully
This network shows the impact of papers produced by Katherine Sully. 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 Katherine Sully. The network helps show where Katherine Sully may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine Sully, 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 | 2016 | 148 | |
| 2 | 2016 | 132 | |
| 3 | 2010 | 95 | |
| 4 | 2010 | 41 | |
| 5 | 2014 | 39 | |
| 6 | 2009 | 36 | |
| 7 | 2012 | 25 | |
| 8 | 2014 | 9 | |
| 9 | 2011 | 9 | |
| 10 | 2013 | 8 |
About Katherine Sully
Katherine Sully is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Hematology and Immunology, having authored 10 papers that have together received 542 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Multiple Myeloma Research and Treatments (2 papers), Mast cells and histamine (1 paper), Kruppel-like factors research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (100 citations), Dermatology (52 citations), Cell Biology (95 citations), Oncology (141 citations) and Immunology (104 citations). Katherine Sully has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ryan F.L. O’Shaughnessy, Carolyn Byrne, Olufolake Akinduro, Catherine Harwood, Michael P. Philpott, Fiona Germaschewski, Richard F. Lamb, Lijun Yan, Virginie Mieulet and Julia Procter. Their work appears in journals such as British Journal of Haematology, Development, European Journal of Cancer, Journal of Investigative Dermatology and Osteoarthritis and Cartilage.
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.