Owen Stephens
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 17
- Multiple Myeloma Research and Treatments 17
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- Protein Degradation and Inhibitors 5
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- John D. Shaughnessy (19 shared papers)Bart Barlogie (20 shared papers)Joshua Epstein (8 shared papers)Yiming Zhou (7 shared papers)Fenghuang Zhan (5 shared papers)Nathan Brown (1 shared paper)Ya‐Wei Qiang (3 shared papers)Bangzheng Chen (1 shared paper)
- Journals
- Blood (16 papers)Supportive Care in Cancer (2 papers)Molecular Cancer Therapeutics (1 paper)Acta Pharmaceutica Sinica B (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Owen Stephens
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Hematology 551
- Oncology 499
- Cancer Research 171
- Molecular Biology 737
- Genetics 59
Countries citing papers authored by Owen Stephens
This map shows the geographic impact of Owen Stephens'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 Owen Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen Stephens more than expected).
Fields of papers citing papers by Owen Stephens
This network shows the impact of papers produced by Owen Stephens. 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 Owen Stephens. The network helps show where Owen Stephens may publish in the future.
Co-authors
The 25 scholars most cited alongside Owen Stephens, 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 | 2006 | 307 | |
| 2 | 2008 | 193 | |
| 3 | 2010 | 154 | |
| 4 | 2006 | 150 | |
| 5 | 2011 | 136 | |
| 6 | 2007 | 80 | |
| 7 | 2011 | 52 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 29 | |
| 10 | 2014 | 20 | |
| 11 | 2008 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2009 | 12 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2008 | 3 | |
| 19 | 2008 | 3 | |
| 20 | 2021 | 3 |
About Owen Stephens
Owen Stephens is a scholar working on Hematology, Molecular Biology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Cancer Genomics and Diagnostics (5 papers), Protein Degradation and Inhibitors (5 papers), Glycosylation and Glycoproteins Research (4 papers), Bone health and treatments (4 papers), Ubiquitin and proteasome pathways (2 papers), Single-cell and spatial transcriptomics (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (551 citations), Oncology (499 citations), Cancer Research (171 citations), Molecular Biology (737 citations) and Genetics (59 citations). Owen Stephens has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include John D. Shaughnessy, Bart Barlogie, Joshua Epstein, Yiming Zhou, Fenghuang Zhan, Nathan Brown, Ya‐Wei Qiang, Bangzheng Chen, Yu Chen and Frits van Rhee. Their work appears in journals such as Blood, Supportive Care in Cancer, Molecular Cancer Therapeutics, Acta Pharmaceutica Sinica B and Frontiers in Immunology.
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.