Janice G. Douglas
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 5%
- Nephrology top 0.5%
- Co-authors
- Xiao-Lan CuiGeorge L. BakrisUlrich HopferJames R. SowersRobert D. TotoMarina ZicheKevin CattMark E. Williams
- Topics
- Renin-Angiotensin System Studies (31 papers)Receptor Mechanisms and Signaling (29 papers)Hormonal Regulation and Hypertension (25 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Janice G. Douglas
104 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cardiology and Cardiovascular Medicine 2.7k
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.6k
- Physiology 750
- Nephrology 706
Countries citing papers authored by Janice G. Douglas
This map shows the geographic impact of Janice G. Douglas'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 Janice G. Douglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice G. Douglas more than expected).
Fields of papers citing papers by Janice G. Douglas
This network shows the impact of papers produced by Janice G. Douglas. 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 Janice G. Douglas. The network helps show where Janice G. Douglas may publish in the future.
Co-authorship network of co-authors of Janice G. Douglas
This figure shows the co-authorship network connecting the top 25 collaborators of Janice G. Douglas. A scholar is included among the top collaborators of Janice G. Douglas 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 Janice G. Douglas. Janice G. Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 42 | |
| 3 | 63 | |
| 4 | 85 | |
| 5 | 75 | |
| 6 | 49 | |
| 7 | 35 | |
| 8 | 377 | |
| 9 | 2 | |
| 10 | 115 | |
| 11 | 20 | |
| 12 | 81 | |
| 13 | 112 | |
| 14 | 36 | |
| 15 | 8 | |
| 16 | The Public Library and the School System--Partners in Lifelong Education. | 1 |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 30 | |
| 20 | 34 |
About Janice G. Douglas
Janice G. Douglas is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 107 papers that have together received 5.7k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (31 papers), Receptor Mechanisms and Signaling (29 papers) and Hormonal Regulation and Hypertension (25 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Nephrology (706 citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Janice G. Douglas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Xiao-Lan Cui, George L. Bakris, Ulrich Hopfer, James R. Sowers, Robert D. Toto, Marina Ziche, Kevin Catt, Mark E. Williams, Katherine R. Tuttle and Lance D. Dworkin. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nucleic Acids Research.
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.