Edward J. Dougherty
- Molecular Biology
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Robert L. DannerShuibang WangFang JinNaren RamakrishnanYang CaoRichard S. PollenzParang SarafLiang Zhao
- Topics
- Carcinogens and Genotoxicity Assessment (5 papers)Toxic Organic Pollutants Impact (4 papers)Hormonal Regulation and Hypertension (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Edward J. Dougherty
32 papers receiving 995 citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 317
- Sociology and Political Science 211
- Statistical and Nonlinear Physics 162
- Endocrinology, Diabetes and Metabolism 116
- Cancer Research 110
Countries citing papers authored by Edward J. Dougherty
This map shows the geographic impact of Edward J. Dougherty'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 Edward J. Dougherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Dougherty more than expected).
Fields of papers citing papers by Edward J. Dougherty
This network shows the impact of papers produced by Edward J. Dougherty. 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 Edward J. Dougherty. The network helps show where Edward J. Dougherty may publish in the future.
Co-authorship network of co-authors of Edward J. Dougherty
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Dougherty. A scholar is included among the top collaborators of Edward J. Dougherty 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 Edward J. Dougherty. Edward J. Dougherty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 32 | |
| 3 | 178 | |
| 4 | 37 | |
| 5 | 48 | |
| 6 | 15 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | 10 | |
| 10 | 74 | |
| 11 | 40 | |
| 12 | Proceedings of IEEE International Workshop on Genomic Signal Processing and Statistics | 5 |
| 13 | 0 | |
| 14 | 22 | |
| 15 | 11 | |
| 16 | 14 | |
| 17 | 36 | |
| 18 | 49 | |
| 19 | 1 | |
| 20 | The future looks bright for cardiac catheterization. | 2 |
About Edward J. Dougherty
Edward J. Dougherty is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Statistical and Nonlinear Physics, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Toxic Organic Pollutants Impact (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (162 citations), Communication (60 citations) and Rehabilitation (55 citations). Edward J. Dougherty has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Robert L. Danner, Shuibang Wang, Fang Jin, Naren Ramakrishnan, Yang Cao, Richard S. Pollenz, Parang Saraf, Liang Zhao, Wei Wang and S. Stoney Simons. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.