Ana M. Schaper

41 total papers · 1.0k total citations
24 papers, 776 citations indexed

About

Ana M. Schaper is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and General Health Professions. According to data from OpenAlex, Ana M. Schaper has authored 24 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 5 papers in General Health Professions. Recurrent topics in Ana M. Schaper's work include Heart Failure Treatment and Management (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Acute Myocardial Infarction Research (4 papers). Ana M. Schaper is often cited by papers focused on Heart Failure Treatment and Management (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Acute Myocardial Infarction Research (4 papers). Ana M. Schaper collaborates with scholars based in United States, South Korea and Indonesia. Ana M. Schaper's co-authors include Kwame O. Akosah, Christopher H. Cogbill, Paul Schoenfeld, Brenda L. Rooney, Charles W. Schauberger, Laura T. Goldsmith, William A. Agger, Philip J. Dahlberg, Michelle A. Mathiason and J Spindler and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and American Journal of Obstetrics and Gynecology.

In The Last Decade

Ana M. Schaper

23 papers receiving 735 citations

Author Peers

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

Author Last Decade Papers Cites
Ana M. Schaper 309 230 158 144 101 24 776
Chileshe Nkonde-Price 591 1.9× 269 1.2× 95 0.6× 115 0.8× 93 0.9× 12 840
Louis Wu 109 0.4× 105 0.5× 112 0.7× 162 1.1× 172 1.7× 24 744
Edmund Graves 235 0.8× 229 1.0× 72 0.5× 44 0.3× 119 1.2× 21 833
Martina Rothenbühler 301 1.0× 189 0.8× 238 1.5× 170 1.2× 114 1.1× 32 862
Douglas Char 213 0.7× 91 0.4× 137 0.9× 114 0.8× 117 1.2× 38 869
Glenda V. Roberts 132 0.4× 91 0.4× 100 0.6× 29 0.2× 125 1.2× 18 896
Rathika Krishnasamy 284 0.9× 137 0.6× 77 0.5× 128 0.9× 101 1.0× 55 905
Nakela L. Cook 402 1.3× 63 0.3× 93 0.6× 100 0.7× 55 0.5× 26 889
Christopher C. Lee 102 0.3× 283 1.2× 65 0.4× 57 0.4× 124 1.2× 46 789
Maria Giulia Marini 272 0.9× 77 0.3× 75 0.5× 32 0.2× 64 0.6× 35 668

Countries citing papers authored by Ana M. Schaper

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Schaper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana M. Schaper

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Schaper. A scholar is included among the top collaborators of Ana M. Schaper 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 Ana M. Schaper. Ana M. Schaper 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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