Dan Lackland
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Blood Pressure and Hypertension Studies 5
- Cardiac Health and Mental Health 2
-
- Acute Ischemic Stroke Management 3
- Co-authors
- Mayowa Owolabi (2 shared papers)Rufus Akinyemi (2 shared papers)Sally N Akarolo-Anthony (1 shared paper)Albert Akpalu (1 shared paper)Mulugeta Gebregziabher (1 shared paper)Donna K. Arnett (1 shared paper)Ezinne Sylvia Melikam (1 shared paper)Reginald Obiako (1 shared paper)
- Journals
- Journal of Clinical Hypertension (2 papers)American Journal of Hypertension (2 papers)Stroke Research and Treatment (1 paper)The American Journal of the Medical Sciences (1 paper)Southern Medical Journal (1 paper)
- Partner nations
- United StatesBarbadosNigeria
In The Last Decade
Dan Lackland
9 papers receiving 420 citations
Peers
Comparison fields: 5 of 85
- Rehabilitation 158
- Internal Medicine 32
- Epidemiology 231
- Cardiology and Cardiovascular Medicine 105
- Health Information Management 16
Countries citing papers authored by Dan Lackland
This map shows the geographic impact of Dan Lackland'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 Dan Lackland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lackland more than expected).
Fields of papers citing papers by Dan Lackland
This network shows the impact of papers produced by Dan Lackland. 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 Dan Lackland. The network helps show where Dan Lackland may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lackland, 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 | 2015 | 274 | |
| 2 | 2005 | 54 | |
| 3 | 2014 | 41 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 4 | |
| 7 | 1995 | 3 | |
| 8 | 2002 | 3 | |
| 9 | 2018 | 2 |
About Dan Lackland
Dan Lackland is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Economics and Econometrics, having authored 9 papers that have together received 428 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Acute Ischemic Stroke Management (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cardiac Health and Mental Health (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Kruppel-like factors research (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Rehabilitation (158 citations), Internal Medicine (32 citations), Epidemiology (231 citations), Cardiology and Cardiovascular Medicine (105 citations) and Health Information Management (16 citations). Dan Lackland has collaborated with scholars based in United States, Barbados and Nigeria. Frequent co-authors include Mayowa Owolabi, Rufus Akinyemi, Sally N Akarolo-Anthony, Albert Akpalu, Mulugeta Gebregziabher, Donna K. Arnett, Ezinne Sylvia Melikam, Reginald Obiako, Carolyn Jenkins and Bruce Ovbiagele. Their work appears in journals such as Journal of Clinical Hypertension, American Journal of Hypertension, Stroke Research and Treatment, The American Journal of the Medical Sciences and Southern Medical Journal.
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.