David E. Conwill

1.9k citations
14 papers · 1.6k · 2 hit papers · h-index 8

Impact in

Papers in

David E. Conwill

13 papers receiving 1.5k citations

David E. Conwill's Hit Papers

Trends in the Incidence of Myocardial Infarction and in Mortality Due to Coronary Heart Disease, 1987 to 1994 1998 · 683 citations
6830+10+20Years since publication200400600

Peers

David E. Conwill
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 713
  • Endocrinology, Diabetes and Metabolism 129
  • Epidemiology 239
  • Health Information Management 57
  • Health 50
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Neema W. Minja United States
Mario R. García-Palmieri Puerto Rico
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Citations per field
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Citations per year

Countries citing papers authored by David E. Conwill

Since Specialization
Citations

This map shows the geographic impact of David E. Conwill'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 David E. Conwill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Conwill more than expected).

Fields of papers citing papers by David E. Conwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Conwill. 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 David E. Conwill. The network helps show where David E. Conwill may publish in the future.

Co-authors

The 25 scholars most cited alongside David E. Conwill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David E. Conwill Line = papers co-authored together David E. Conwill links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Trends in the Incidence of Myocardial Infarction and in Mortality Due to Coronary Heart Disease, 1987 to 1994
Hit paper breakdown →
1998683
2
Community surveillance of coronary heart disease in the Atherosclerosis Risk in Communities (ARIC) Study: Methods and initial two years' experience
Hit paper breakdown →
1996637
3 2001135
4 198669
5 198839
6 199927
7 199216
8 19979
9
Tuberculosis Containment among the Homeless in Metropolitan Jackson, Mississippi.
20157
10 19886
11 19935
12 19773
13 19863
14 19930

About David E. Conwill

David E. Conwill is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Microbiology, Molecular Medicine and Anesthesiology and Pain Medicine, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (3 papers), Acute Myocardial Infarction Research (2 papers), Streptococcal Infections and Treatments (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Smoking Behavior and Cessation (1 paper), Myofascial pain diagnosis and treatment (1 paper), Anesthesia and Pain Management (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (713 citations), Endocrinology, Diabetes and Metabolism (129 citations), Epidemiology (239 citations), Health Information Management (57 citations) and Health (50 citations). David E. Conwill has collaborated with scholars based in United States and Ireland. Frequent co-authors include Lawton S. Cooper, Wayne D. Rosamond, Aaron R. Folsom, Aaron R. Folsom, Lloyd E. Chambless, Limin X. Clegg, Chin-Hua Wang, Gerardo M HEISS, Lloyd E. Chambless and Alice White. Their work appears in journals such as Journal of Clinical Epidemiology, JAMA, The Lancet, Clinical Infectious Diseases and Epidemiology.

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.

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