Barbara V. Howard
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Co-authors
- Elisa T. LeeRichard R. FabsitzRichard B. DevereuxThomas K. WeltyHelaine E. ResnickDavid C. RobbinsLyle G. BestMary J. Roman
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers)Cardiovascular Function and Risk Factors (18 papers)Nutritional Studies and Diet (12 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInternal Medicine
- Partner nations
- United StatesAustriaSpain
In The Last Decade
Barbara V. Howard
101 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cardiology and Cardiovascular Medicine 3.1k
- Endocrinology, Diabetes and Metabolism 2.2k
- Surgery 1.8k
- Molecular Biology 1.2k
- Epidemiology 871
Countries citing papers authored by Barbara V. Howard
This map shows the geographic impact of Barbara V. Howard'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 Barbara V. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara V. Howard more than expected).
Fields of papers citing papers by Barbara V. Howard
This network shows the impact of papers produced by Barbara V. Howard. 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 Barbara V. Howard. The network helps show where Barbara V. Howard may publish in the future.
Co-authorship network of co-authors of Barbara V. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara V. Howard. A scholar is included among the top collaborators of Barbara V. Howard 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 Barbara V. Howard. Barbara V. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 46 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 70 | |
| 11 | Abstract 6203: Central Pulse Pressure ≥50 mmHg Predicts Adverse Cardiovascular Outcome: The Strong Heart Study | 1 |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 112 | |
| 15 | 35 | |
| 16 | 224 | |
| 17 | 40 | |
| 18 | 29 | |
| 19 | 94 | |
| 20 | 130 |
About Barbara V. Howard
Barbara V. Howard is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 102 papers that have together received 7.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Cardiovascular Function and Risk Factors (18 papers) and Nutritional Studies and Diet (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.1k citations), Endocrinology, Diabetes and Metabolism (2.2k citations) and Internal Medicine (184 citations). Barbara V. Howard has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include Elisa T. Lee, Richard R. Fabsitz, Richard B. Devereux, Thomas K. Welty, Helaine E. Resnick, David C. Robbins, Lyle G. Best, Mary J. Roman, Kristina L. Jones and Richard B. Devereux. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.