Stephen M. Sykes
- Hematology top 1%
- Acute Myeloid Leukemia Research 18
- Oncology top 2%
- Cancer-related Molecular Pathways 8
- PARP inhibition in cancer therapy 7
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research 9
- DNA Repair Mechanisms 7
- Epigenetics and DNA Methylation 7
- PI3K/AKT/mTOR signaling in cancer 6
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Cancer Research top 5%
- Co-authors
- Steven B. McMahonHestia MellertWilliam S. LaneMarc A. HolbertKeqin LiRonen MarmorsteinMaureen E. MurphyDavid T. Scadden
- Cited by
- HematologyOncologyMolecular Biology
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Stephen M. Sykes
77 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Hematology 765
- Oncology 996
- Molecular Biology 2.4k
- Genetics 302
- Cancer Research 387
Countries citing papers authored by Stephen M. Sykes
This map shows the geographic impact of Stephen M. Sykes'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 M. Sykes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Sykes more than expected).
Fields of papers citing papers by Stephen M. Sykes
This network shows the impact of papers produced by Stephen M. Sykes. 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 M. Sykes. The network helps show where Stephen M. Sykes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen M. Sykes, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 63 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 23 | |
| 13 | 2012 | 151 | |
| 14 | Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias | 2011 | 1 |
| 15 | 2011 | 217 | |
| 16 | Serum free light chain assay for diagnosis and monitoring of monoclonal light-chain diseases - Analytical and clinical correlations | 2008 | 1 |
| 17 | 2008 | 227 | |
| 18 | 1993 | 13 | |
| 19 | 1992 | 3 | |
| 20 | 1985 | 25 |
About Stephen M. Sykes
Stephen M. Sykes is a scholar working on Hematology, Molecular Biology and Genetics, having authored 80 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Histone Deacetylase Inhibitors Research (9 papers), Cancer-related Molecular Pathways (8 papers), DNA Repair Mechanisms (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), PARP inhibition in cancer therapy (7 papers), Epigenetics and DNA Methylation (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Hematology (765 citations), Oncology (996 citations) and Molecular Biology (2.4k citations). Stephen M. Sykes has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Steven B. McMahon, Hestia Mellert, William S. Lane, Marc A. Holbert, Keqin Li, Ronen Marmorstein, Maureen E. Murphy, David T. Scadden, E. Christine Pietsch and D. Gary Gilliland. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.