Andrew J. Dannenberg

33.9k citations
273 papers · 24.3k indexed · 10 hit papers · h-index 86
Topics
Inflammatory mediators and NSAID effects (104 papers)Estrogen and related hormone effects (72 papers)Cancer Risks and Factors (32 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Andrew J. Dannenberg

268 papers receiving 23.7k citations

Hit Papers

COX-2 is expressed in human pulmonary, colonic,...197920261994201020002016199819991999200400600

Peers

Andrew J. Dannenberg
Comparison fields: 5 of 172
  • Molecular Biology 7.8k
  • Pharmacology 7.4k
  • Oncology 5.6k
  • Genetics 4.9k
  • Cancer Research 4.4k
Replace Raymond N. DuBois with:
Raymond N. DuBois United States
Steven B. Abramson United States
Mark E. Cooper Australia
Gary J. Kelloff United States
Gautam Sethi Singapore
Howard L. McLeod United States
Masato Kasuga Japan
David A. Brenner United States
Toru Kita Japan
James K. Liao United States
Andrew J. Dannenberg relative to Raymond N. DuBois United States Raymond N. DuBois's profile →
Citations per field
00.5×1.5×1.8×
Raymond N. DuBois · 1×
Citations per year

Countries citing papers authored by Andrew J. Dannenberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andrew J. Dannenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Dannenberg. A scholar is included among the top collaborators of Andrew J. Dannenberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew J. Dannenberg. Andrew J. Dannenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 5
4 35
5 41
6 69
7 162
8 27
9 5
10 57
11 44
12 28
13 36
14 151
15 125
16 319
17 39
18 49
19 104
20 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) and Cancer Risks and Factors (32 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.

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