Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Relation of pulse pressure and blood pressure reduction to the incidence of myocardial infarction.
1994486 citationsS Madhavan, Wee Lock Ooi et al.Hypertensionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of S Madhavan'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 S Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Madhavan more than expected).
This network shows the impact of papers produced by S Madhavan. 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 S Madhavan. The network helps show where S Madhavan may publish in the future.
Co-authorship network of co-authors of S Madhavan
This figure shows the co-authorship network connecting the top 25 collaborators of S Madhavan.
A scholar is included among the top collaborators of S Madhavan 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 S Madhavan. S Madhavan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Madhavan, S, Sathish Reddy, Pradeep Panuganti, et al.. (2011). Epidemiology of sudden cardiac death in rural South India - insights from the andhra pradesh rural health initiative.. PubMed. 11(4). 93–102.19 indexed citations
Fang, Jing, S Madhavan, & Michael H. Alderman. (1997). The influence of birthplace on mortality among Hispanic residents of New York City.. PubMed. 7(1). 55–64.8 indexed citations
5.
Fang, Jing, William Bosworth, S Madhavan, Hillel W. Cohen, & M. H. Alderman. (1995). Differential mortality in New York City (1988-1992). Part Two: excess mortality in the south Bronx.. PubMed. 72(2). 483–99.9 indexed citations
Fang, Jing, et al.. (1995). Differential mortality in New York City (1988-1992). Part One: excess mortality among non-Hispanic blacks.. PubMed. 72(2). 470–82.5 indexed citations
Madhavan, S, Wee Lock Ooi, Hillel W. Cohen, & Michael H. Alderman. (1994). Relation of pulse pressure and blood pressure reduction to the incidence of myocardial infarction.. Hypertension. 23(3). 395–401.486 indexed citations breakdown →
James, Gary D., Jean E. Sealey, Franco Müller, et al.. (1986). Renin relationship to sex, race and age in a normotensive population.. PubMed. 4(5). S387–9.81 indexed citations
Madhavan, S, et al.. (1979). Mortality pattern in an urban birth cohort.. PubMed. 69. 616–23.8 indexed citations
16.
Sk, Bhargava, et al.. (1973). Birth weight, gestational age and maternal factors in low birth weight babies.. PubMed. 10(3). 161–6.5 indexed citations
17.
Madhavan, S, et al.. (1972). Outcome and survival of a birth cohort in a community of South Delhi: preliminary report of a prospective study.. PubMed. 9(9). 495–505.4 indexed citations
18.
Madhavan, S, et al.. (1970). Serum electrolyte, renal function and blood volume alterations associated with congestive heart failure in children.. PubMed. 7(6). 329–37.1 indexed citations
19.
Madhavan, S, et al.. (1967). Diet surveys by weighment method--a comparison of random day, three-day and seven-day period.. PubMed. 55(1). 90–6.6 indexed citations
20.
Madhavan, S, et al.. (1964). SECULAR CHANGES IN HEIGHT AND WEIGHT OF INDIAN ADULTS.. PubMed. 52. 612–7.6 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.