Shawn T. Estrem
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 7
- Molecular Biology top 5%
- TGF-β signaling in diseases 7
- RNA and protein synthesis mechanisms 5
- Bioinformatics and Genomic Networks 3
- Genetics top 5%
- Bacterial Genetics and Biotechnology 5
- Glioma Diagnosis and Treatment 3
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Immunology top 10%
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- Advanced Breast Cancer Therapies 4
- Co-authors
- Tamás GaálRichard L. GourseWilma RossIvelina GueorguievaAnn CleverlyKarim A. BenhadjiMichael LahnSusan C. Guba
- Cited by
- OncologyMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Shawn T. Estrem
28 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 1.0k
- Molecular Biology 1.6k
- Genetics 572
- Cancer Research 302
- Immunology 405
Countries citing papers authored by Shawn T. Estrem
This map shows the geographic impact of Shawn T. Estrem'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 Shawn T. Estrem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn T. Estrem more than expected).
Fields of papers citing papers by Shawn T. Estrem
This network shows the impact of papers produced by Shawn T. Estrem. 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 Shawn T. Estrem. The network helps show where Shawn T. Estrem may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn T. Estrem, 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 | 2024 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 36 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 94 | |
| 7 | 2019 | 26 | |
| 8 | 2018 | 224 | |
| 9 | 2014 | 200 | |
| 10 | 2014 | 91 | |
| 11 | 2012 | 160 | |
| 12 | 2008 | 58 | |
| 13 | 2005 | 9 | |
| 14 | 2001 | 0 | |
| 15 | 2001 | 151 | |
| 16 | 1999 | 172 | |
| 17 | 1998 | 24 | |
| 18 | 1998 | 244 | |
| 19 | 1996 | 28 | |
| 20 | 1994 | 36 |
About Shawn T. Estrem
Shawn T. Estrem is a scholar working on Oncology, Genetics and Molecular Biology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Pancreatic and Hepatic Oncology Research (7 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (5 papers), Advanced Breast Cancer Therapies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glioma Diagnosis and Treatment (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Oncology (1.0k citations), Molecular Biology (1.6k citations) and Genetics (572 citations). Shawn T. Estrem has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Tamás Gaál, Richard L. Gourse, Wilma Ross, Ivelina Gueorguieva, Ann Cleverly, Karim A. Benhadji, Michael Lahn, Susan C. Guba, Kyla Driscoll and Stephan Herbertz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.