This map shows the geographic impact of J. P. Strong'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 J. P. Strong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. P. Strong more than expected).
This network shows the impact of papers produced by J. P. Strong. 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 J. P. Strong. The network helps show where J. P. Strong may publish in the future.
Co-authorship network of co-authors of J. P. Strong
This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Strong.
A scholar is included among the top collaborators of J. P. Strong 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 J. P. Strong. J. P. Strong is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strong, J. P., et al.. (1992). Pathobiological determinants of atherosclerosis in youth (PDAY): Rationale, methodology, and selected risk factor findings. 2(1). 22–30.18 indexed citations
3.
Lauer, Ronald M., Richard J. Deckelbaum, Laurence Finberg, et al.. (1992). Highlights of the report of the expert panel on blood cholesterol levels in children and adolescents. 45(5). 2127–2136.132 indexed citations
4.
Tracy, Richard E., C J MacLean, David M. Reed, et al.. (1988). Blood pressure, nephrosclerosis, and age autopsy findings from the Honolulu Heart Program.. PubMed. 1(6). 420–7.25 indexed citations
5.
Solberg, Lars Aage, Toshiharu Ishii, J. P. Strong, et al.. (1987). Comparison of coronary atherosclerosis in middle-aged Norwegian and Japanese men. An autopsy study.. PubMed. 56(4). 451–6.12 indexed citations
6.
Strong, J. P.. (1986). Coronary atherosclerosis in soldiers : A clue to the natural history of atherosclerosis in the young. JAMA. 256. 2863–2866.4 indexed citations
7.
Ishii, Toshiharu, et al.. (1986). Coronary and aortic atherosclerosis in young men from Tokyo and New Orleans.. PubMed. 54(5). 561–5.29 indexed citations
8.
McGarry, Paul, et al.. (1985). Cerebral atherosclerosis in New Orleans. Comparisons of lesions by age, sex, and race.. PubMed. 52(5). 533–9.54 indexed citations
9.
Grundy, Scott M., Ronald A. Arky, G. A. Bray, et al.. (1985). Coronary risk factor statement for the American public. A statement of the nutrition committee.. PubMed. 72(5). 1135A–1139A.4 indexed citations
10.
Grundy, Scott M., et al.. (1984). Cigarette smoking and cardiovascular diseases. A statement for health professionals by a task force appointed by the steering committee of the American Heart Association.. PubMed. 70(6). 1114A–1117A.52 indexed citations
11.
Johnson, William D., et al.. (1981). Sudden death from coronary heart disease in young men: Pathologic findings.. PubMed. 105(5). 227–32.8 indexed citations
12.
Strong, J. P., Carlos S. Restrepo, & Manuel Guzmán. (1978). Coronary and aortic atherosclerosis in New Orleans. II. Comparison of lesions by age, sex, and race.. PubMed. 39(4). 364–9.48 indexed citations
13.
Tejada, Carlos, J. P. Strong, M. R. Montenegro, Carlos S. Restrepo, & Lars Aage Solberg. (1968). Distribution of coronary and aortic atherosclerosis by geographic location, race, and sex.. PubMed. 18(5). 509–26.240 indexed citations
14.
Areán, Victor M., et al.. (1961). Atherosclerosis in Puerto Rico. Study of early aortic lesions.. PubMed. 72. 367–74.1 indexed citations
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.