B. V. Howard
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- John A. RobbinsDavid M. RapoportJames P. KileyF. Javier NietoPatricia WahlGeorge O'connorSusan RedlineJonathan M. Samet
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)Diet and metabolism studies (8 papers)Lipoproteins and Cardiovascular Health (6 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
B. V. Howard
34 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Physiology 1.1k
- Endocrinology, Diabetes and Metabolism 872
- Surgery 501
- Cardiology and Cardiovascular Medicine 446
- Endocrine and Autonomic Systems 417
Countries citing papers authored by B. V. Howard
This map shows the geographic impact of B. 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 B. 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 B. V. Howard more than expected).
Fields of papers citing papers by B. V. Howard
This network shows the impact of papers produced by B. 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 B. V. Howard. The network helps show where B. V. Howard may publish in the future.
Co-authorship network of co-authors of B. V. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of B. V. Howard. A scholar is included among the top collaborators of B. 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 B. V. Howard. B. 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 | 104 | |
| 2 | 23 | |
| 3 | 136 | |
| 4 | 1 | |
| 5 | 46 | |
| 6 | 71 | |
| 7 | Lipids and syndromes of insulin resistance : from molecular biology to clinical medicine | 2 |
| 8 | 16 | |
| 9 | 52 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 58 | |
| 13 | 127 | |
| 14 | 45 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | Diabetes and atherosclerosis in the Pima Indians. | 7 |
| 18 | 1 | |
| 19 | 127 | |
| 20 | 2 |
About B. V. Howard
B. V. Howard is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 34 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diet and metabolism studies (8 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (417 citations), Endocrinology, Diabetes and Metabolism (872 citations) and Physiology (1.1k citations). B. V. Howard has collaborated with scholars based in United States, Italy and France. Frequent co-authors include John A. Robbins, David M. Rapoport, James P. Kiley, F. Javier Nieto, Patricia Wahl, George O'connor, Susan Redline, Jonathan M. Samet, Stuart F. Quan and Conrad Iber. 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.