Howard M. Monroe
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
-
- Protease and Inhibitor Mechanisms 1
- Cancer, Lipids, and Metabolism 1
- Surgery top 10%
- Transplantation: Methods and Outcomes 1
-
- Cardiac Fibrosis and Remodeling 1
-
- Corneal Surgery and Treatments 1
-
- Advanced Multi-Objective Optimization Algorithms 1
-
- Pulmonary Hypertension Research and Treatments 1
- Co-authors
- Matthew McQueenCurt D. FurbergAllan D. SnidermanJohn H. ContoisKen WilliamsJacqueline de GraafPhilippe E. Van den SteenMark D. Roycik
- Journals
- Journal of Vascular Surgery (1 paper)Cornea (1 paper)The Journal of Heart and Lung Transplantation (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Howard M. Monroe
6 papers receiving 573 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 274
- Cancer Research 123
- Surgery 325
- Cardiology and Cardiovascular Medicine 132
- Epidemiology 88
Countries citing papers authored by Howard M. Monroe
This map shows the geographic impact of Howard M. Monroe'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 Howard M. Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard M. Monroe more than expected).
Fields of papers citing papers by Howard M. Monroe
This network shows the impact of papers produced by Howard M. Monroe. 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 Howard M. Monroe. The network helps show where Howard M. Monroe may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Howard M. Monroe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2013 | 29 | |
| 3 | 2012 | 15 | |
| 4 | A Meta-Analysis of Low-Density Lipoprotein Cholesterol, Non-High-Density Lipoprotein Cholesterol, and Apolipoprotein B as Markers of Cardiovascular Riskbreakdown → | 2011 | 437 |
| 5 | 2008 | 110 | |
| 6 | 1984 | 6 |
About Howard M. Monroe
Howard M. Monroe is a scholar working on Cancer Research, Ophthalmology and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 598 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cardiac Fibrosis and Remodeling (1 paper), Corneal Surgery and Treatments (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Transplantation: Methods and Outcomes (1 paper), Protease and Inhibitor Mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (274 citations), Cancer Research (123 citations) and Surgery (325 citations). Howard M. Monroe has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Matthew McQueen, Curt D. Furberg, Allan D. Sniderman, John H. Contois, Ken Williams, Jacqueline de Graaf, Philippe E. Van den Steen, Mark D. Roycik, Ghislain Opdenakker and Megan E. Muroski. Their work appears in journals such as Journal of Vascular Surgery, Cornea and The Journal of Heart and Lung Transplantation.
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.