Stephen Tirrell
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
-
- Ubiquitin and proteasome pathways 9
- Protein Degradation and Inhibitors 7
- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 2
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Allison Berger (8 shared papers)Robert Z. Orlowski (3 shared papers)Jatin J. Shah (1 shared paper)Sagar Lonial (1 shared paper)R. Donald Harvey (1 shared paper)Mitchell R. Smith (1 shared paper)Hélène M. Faessel (1 shared paper)Andrzej Jakubowiak (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Clinical Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Blood (2 papers)Investigational New Drugs (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Stephen Tirrell
16 papers receiving 440 citations
Peers
Comparison fields: 5 of 63
- Hematology 77
- Cancer Research 93
- Molecular Biology 350
- Oncology 132
- Cell Biology 36
Countries citing papers authored by Stephen Tirrell
This map shows the geographic impact of Stephen Tirrell'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 Stephen Tirrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tirrell more than expected).
Fields of papers citing papers by Stephen Tirrell
This network shows the impact of papers produced by Stephen Tirrell. 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 Stephen Tirrell. The network helps show where Stephen Tirrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Tirrell, 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 | 2015 | 162 | |
| 2 | 2019 | 57 | |
| 3 | 2016 | 49 | |
| 4 | 2005 | 41 | |
| 5 | 2015 | 35 | |
| 6 | 2008 | 24 | |
| 7 | 2006 | 22 | |
| 8 | 2013 | 16 | |
| 9 | 2015 | 14 | |
| 10 | 2016 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2016 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2011 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2011 | 1 |
About Stephen Tirrell
Stephen Tirrell is a scholar working on Molecular Biology, Hematology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 16 papers that have together received 443 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Protein Degradation and Inhibitors (7 papers), Multiple Myeloma Research and Treatments (4 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Microtubule and mitosis dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (77 citations), Cancer Research (93 citations), Molecular Biology (350 citations), Oncology (132 citations) and Cell Biology (36 citations). Stephen Tirrell has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Allison Berger, Robert Z. Orlowski, Jatin J. Shah, Sagar Lonial, R. Donald Harvey, Mitchell R. Smith, Hélène M. Faessel, Andrzej Jakubowiak, Catherine Diefenbach and Bruce J. Dezube. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Journal of Clinical Oncology, Blood and Investigational New Drugs.
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.