Jared J. Bearss
Impact in
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- Cancer Mechanisms and Therapy
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- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
Papers in
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- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Wnt/β-catenin signaling in development and cancer 1
- Enzyme function and inhibition 1
- Oncology 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Sunil Sharma (5 shared papers)Venkataswamy Sorna (4 shared papers)Emily R. Theisen (2 shared papers)Laura M. Hoffman (1 shared paper)Savita Sankar (1 shared paper)Stephen L. Lessnick (1 shared paper)Mary C. Beckerle (1 shared paper)Hariprasad Vankayalapati (4 shared papers)
- Journals
- ACS Medicinal Chemistry Letters (2 papers)Journal of drug targeting (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Clinical Cancer Research (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Jared J. Bearss
9 papers receiving 573 citations
Peers
Comparison fields: 5 of 47
- Pathology and Forensic Medicine 87
- Molecular Biology 347
- Pulmonary and Respiratory Medicine 134
- Oncology 105
- Immunology 78
Countries citing papers authored by Jared J. Bearss
This map shows the geographic impact of Jared J. Bearss'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 Jared J. Bearss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared J. Bearss more than expected).
Fields of papers citing papers by Jared J. Bearss
This network shows the impact of papers produced by Jared J. Bearss. 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 Jared J. Bearss. The network helps show where Jared J. Bearss may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared J. Bearss, 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 | 2018 | 187 | |
| 2 | 2014 | 142 | |
| 3 | 2011 | 82 | |
| 4 | 2014 | 77 | |
| 5 | 2014 | 41 | |
| 6 | 2015 | 23 | |
| 7 | 2017 | 15 | |
| 8 | 2013 | 11 | |
| 9 | 2008 | 2 | |
| 10 | 2025 | 0 |
About Jared J. Bearss
Jared J. Bearss is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 580 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Prostate Cancer Treatment and Research (1 paper), interferon and immune responses (1 paper), Cancer-related Molecular Pathways (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (87 citations), Molecular Biology (347 citations), Pulmonary and Respiratory Medicine (134 citations), Oncology (105 citations) and Immunology (78 citations). Jared J. Bearss has collaborated with scholars based in United States and India. Frequent co-authors include Sunil Sharma, Venkataswamy Sorna, Emily R. Theisen, Laura M. Hoffman, Savita Sankar, Stephen L. Lessnick, Mary C. Beckerle, Hariprasad Vankayalapati, Steven L. Warner and David J. Bearss. Their work appears in journals such as ACS Medicinal Chemistry Letters, Journal of drug targeting, Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research and Journal of Medicinal 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.