Andrew J. Dannenberg
- Pharmacology top 0.02%
- Inflammatory mediators and NSAID effects 104
- Cancer Research top 0.1%
- Cancer, Lipids, and Metabolism 22
- Oncology top 0.2%
- Cancer Risks and Factors 32
- Biochemistry top 0.1%
- Genetics top 0.1%
- Estrogen and related hormone effects 72
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- Adipokines, Inflammation, and Metabolic Diseases 28
- Liver Disease Diagnosis and Treatment 17
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- Cancer, Stress, Anesthesia, and Immune Response 23
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- Alcohol Consumption and Health Effects 17
- Co-authors
- Kotha SubbaramaiahClifford A. HudisNeil M. IyengarLouise R. HoweNasser K. AltorkiJaime L. MasferrerRobert A. SoslowAlane Koki
- Cited by
- PharmacologyCancer ResearchOncology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (16 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Andrew J. Dannenberg
268 papers receiving 23.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Pharmacology 7.4k
- Cancer Research 4.4k
- Oncology 5.6k
- Biochemistry 1.3k
- Genetics 4.9k
Countries citing papers authored by Andrew J. Dannenberg
This map shows the geographic impact of Andrew J. Dannenberg'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 Andrew J. Dannenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Dannenberg more than expected).
Fields of papers citing papers by Andrew J. Dannenberg
This network shows the impact of papers produced by Andrew J. Dannenberg. 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 Andrew J. Dannenberg. The network helps show where Andrew J. Dannenberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Dannenberg, 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 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 5 | |
| 4 | 2016 | 35 | |
| 5 | 2016 | 41 | |
| 6 | 2016 | 69 | |
| 7 | 2015 | 162 | |
| 8 | 2014 | 27 | |
| 9 | 2014 | 5 | |
| 10 | 2013 | 57 | |
| 11 | 2012 | 44 | |
| 12 | 2012 | 28 | |
| 13 | 2011 | 36 | |
| 14 | 2010 | 151 | |
| 15 | 2010 | 125 | |
| 16 | 2009 | 319 | |
| 17 | 2008 | 39 | |
| 18 | 2008 | 49 | |
| 19 | 2007 | 104 | |
| 20 | 1989 | 38 |
About Andrew J. Dannenberg
Andrew J. Dannenberg is a scholar working on Pharmacology, Cancer Research and Genetics, having authored 273 papers that have together received 24.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (104 papers), Estrogen and related hormone effects (72 papers), Cancer Risks and Factors (32 papers), Adipokines, Inflammation, and Metabolic Diseases (28 papers), Cancer, Stress, Anesthesia, and Immune Response (23 papers), Cancer, Lipids, and Metabolism (22 papers), Liver Disease Diagnosis and Treatment (17 papers) and Alcohol Consumption and Health Effects (17 papers). The work is most often cited by research in Pharmacology (7.4k citations), Cancer Research (4.4k citations) and Oncology (5.6k citations). Andrew J. Dannenberg has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Kotha Subbaramaiah, Clifford A. Hudis, Neil M. Iyengar, Louise R. Howe, Nasser K. Altorki, Jaime L. Masferrer, Robert A. Soslow, Alane Koki, Jay O. Boyle and B. Mark Woerner. Their work appears in journals such as Nature, 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.