David G. Beer
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 0.2%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- Cancer-related molecular mechanisms research 28
- Cancer Genomics and Diagnostics 17
- Oncology 69
- Cancer-related Molecular Pathways 22
- Co-authors
- Guoan ChenMark B. OrringerThomas J. GiordanoSamir HanashDafydd G. ThomasDavid E. MisekMark D. IannettoniJeremy M. G. Taylor
- Journals
- Clinical Cancer Research (15 papers)Cancer Research (13 papers)Molecular Carcinogenesis (12 papers)Neoplasia (9 papers)Journal of Thoracic Oncology (9 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
David G. Beer
238 papers receiving 16.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Cancer Research 5.8k
- Molecular Biology 10.8k
- Oncology 3.7k
- Pulmonary and Respiratory Medicine 3.7k
- Immunology 1.3k
Countries citing papers authored by David G. Beer
This map shows the geographic impact of David G. Beer'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 David G. Beer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Beer more than expected).
Fields of papers citing papers by David G. Beer
This network shows the impact of papers produced by David G. Beer. 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 David G. Beer. The network helps show where David G. Beer may publish in the future.
Co-authors
The 25 scholars most cited alongside David G. Beer, 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 | Landscape summary: Online targeting: What is online targeting, what impact does it have, and how can we maximise benefits and minimise harms? | 2019 | 1 |
| 3 | 2018 | 119 | |
| 4 | 2017 | 139 | |
| 5 | 2014 | 85 | |
| 6 | 2013 | 53 | |
| 7 | 2012 | 37 | |
| 8 | 2011 | 147 | |
| 9 | 2011 | 35 | |
| 10 | 2010 | 61 | |
| 11 | 2010 | 85 | |
| 12 | 2010 | 51 | |
| 13 | 2009 | 333 | |
| 14 | 2009 | 51 | |
| 15 | 2008 | 81 | |
| 16 | 2008 | 46 | |
| 17 | 2007 | 73 | |
| 18 | 2007 | 67 | |
| 19 | 2006 | 319 | |
| 20 | The murine Fhit gene is highly similar to its human orthologue and maps to a common fragile site region. | 1998 | 56 |
About David G. Beer
David G. Beer is a scholar working on Cancer Research, Oncology, Gastroenterology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 241 papers that have together received 16.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (45 papers), Esophageal Cancer Research and Treatment (44 papers), Cancer-related molecular mechanisms research (28 papers), Cancer-related gene regulation (23 papers), Cancer-related Molecular Pathways (22 papers), Lung Cancer Treatments and Mutations (19 papers), Epigenetics and DNA Methylation (19 papers) and Cancer Genomics and Diagnostics (17 papers). The work is most often cited by research in Cancer Research (5.8k citations), Molecular Biology (10.8k citations), Oncology (3.7k citations), Pulmonary and Respiratory Medicine (3.7k citations) and Immunology (1.3k citations). David G. Beer has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Guoan Chen, Mark B. Orringer, Thomas J. Giordano, Samir Hanash, Dafydd G. Thomas, David E. Misek, Mark D. Iannettoni, Jeremy M. G. Taylor, Tarek G. Gharib and Sharon L. R. Kardia. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular Carcinogenesis, Neoplasia and Journal of Thoracic Oncology.
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.