M P Stern

15 total papers · 1.0k total citations
12 papers, 877 citations indexed

About

M P Stern is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M P Stern has authored 12 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M P Stern's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetic Associations and Epidemiology (2 papers) and Global Public Health Policies and Epidemiology (2 papers). M P Stern is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetic Associations and Epidemiology (2 papers) and Global Public Health Policies and Epidemiology (2 papers). M P Stern collaborates with scholars based in United States and Brazil. M P Stern's co-authors include Helen P. Hazuda, S. M. Haffner, Michael D. Rosenthal, Daniel E. Hale, J. P. Burke, Braxton D. Mitchell, Helen P. Hazuda, S M Haffner, Judith K. Patterson and Laurie Reinhart and has published in prestigious journals such as Circulation, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

M P Stern

12 papers receiving 838 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M P Stern 310 203 186 135 121 12 877
J. Lee 263 0.8× 97 0.5× 104 0.6× 116 0.9× 210 1.7× 18 778
Mark Holdbrook 337 1.1× 289 1.4× 205 1.1× 173 1.3× 108 0.9× 28 908
Sean McElligott 244 0.8× 147 0.7× 112 0.6× 118 0.9× 156 1.3× 26 1000
S. D. Hsieh 294 0.9× 240 1.2× 112 0.6× 39 0.3× 116 1.0× 13 715
Lia Orfei 115 0.4× 145 0.7× 137 0.7× 301 2.2× 158 1.3× 6 937
Fernando Coto‐Yglesias 325 1.0× 204 1.0× 56 0.3× 238 1.8× 63 0.5× 9 881
Seung Joon Oh 280 0.9× 268 1.3× 144 0.8× 103 0.8× 206 1.7× 23 1.0k
Louise S. Conwell 408 1.3× 195 1.0× 89 0.5× 229 1.7× 132 1.1× 40 1.0k
Ilan Kochba 429 1.4× 79 0.4× 98 0.5× 125 0.9× 179 1.5× 11 807
Y P Munjal 318 1.0× 226 1.1× 209 1.1× 140 1.0× 197 1.6× 7 1.0k

Countries citing papers authored by M P Stern

Since Specialization
Citations

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

Fields of papers citing papers by M P Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M P Stern. 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 M P Stern. The network helps show where M P Stern may publish in the future.

Co-authorship network of co-authors of M P Stern

This figure shows the co-authorship network connecting the top 25 collaborators of M P Stern. A scholar is included among the top collaborators of M P Stern 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 M P Stern. M P Stern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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