Shannon E. Beard
Impact in
-
- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
- Drug Transport and Resistance Mechanisms
- HER2/EGFR in Cancer Research
- Pancreatic and Hepatic Oncology Research
Papers in
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- Photosynthetic Processes and Mechanisms 2
- Metabolism, Diabetes, and Cancer 1
- Biochemical and Molecular Research 1
- Oncology 4
- Drug Transport and Resistance Mechanisms 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Marta Hamilton (1 shared paper)Karsten Witt (1 shared paper)Pablo J. Cagnoni (1 shared paper)Julie Wolf (1 shared paper)Gary M. Clark (1 shared paper)Jason Rusk (1 shared paper)Claire M. Payne (2 shared papers)Carol Bernstein (2 shared papers)
- Journals
- Current Microbiology (1 paper)Clinical Cancer Research (1 paper)European Journal of Biochemistry (1 paper)Cancer Letters (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Shannon E. Beard
8 papers receiving 509 citations
Peers
Comparison fields: 5 of 85
- Oncology 231
- Endocrinology 27
- Molecular Medicine 25
- Pulmonary and Respiratory Medicine 160
- Clinical Biochemistry 28
Countries citing papers authored by Shannon E. Beard
This map shows the geographic impact of Shannon E. Beard'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 Shannon E. Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon E. Beard more than expected).
Fields of papers citing papers by Shannon E. Beard
This network shows the impact of papers produced by Shannon E. Beard. 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 Shannon E. Beard. The network helps show where Shannon E. Beard may publish in the future.
Co-authors
The 22 scholars most cited alongside Shannon E. Beard, 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 | 2006 | 240 | |
| 2 | 1999 | 101 | |
| 3 | 1998 | 79 | |
| 4 | 1994 | 38 | |
| 5 | 1996 | 28 | |
| 6 | 1995 | 15 | |
| 7 | 1998 | 10 | |
| 8 | Detection of peroxisome proliferators using a reporter construct derived from the rat acyl-CoA oxidase promoter in the rat liver cell line H-4-II-E. | 1997 | 8 |
About Shannon E. Beard
Shannon E. Beard is a scholar working on Molecular Biology, Oncology, Cancer Research, Clinical Biochemistry and Organic Chemistry, having authored 8 papers that have together received 519 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), NF-κB Signaling Pathways (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Biochemical and Molecular Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Oncology (231 citations), Endocrinology (27 citations), Molecular Medicine (25 citations), Pulmonary and Respiratory Medicine (160 citations) and Clinical Biochemistry (28 citations). Shannon E. Beard has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Marta Hamilton, Karsten Witt, Pablo J. Cagnoni, Julie Wolf, Gary M. Clark, Jason Rusk, Claire M. Payne, Carol Bernstein, Harris Bernstein and John A. Schneider. Their work appears in journals such as Current Microbiology, Clinical Cancer Research, European Journal of Biochemistry, Cancer Letters and Human Molecular Genetics.
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.