Sara Yankelev

9 total papers · 615 total citations
8 papers, 501 citations indexed

About

Sara Yankelev is a scholar working on Infectious Diseases, Pharmacology and Epidemiology. According to data from OpenAlex, Sara Yankelev has authored 8 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Sara Yankelev's work include Antimicrobial Resistance in Staphylococcus (4 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). Sara Yankelev is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). Sara Yankelev collaborates with scholars based in United States, Russia and United Kingdom. Sara Yankelev's co-authors include David P. Benziger, Gloria Vigliani, Mark Benvenuto, Lawrence V. Friedrich, John Mohr, Kenneth C. Lamp, Joseph S. Solomkin, Christopher Lucasti, Judith N. Steenbergen and Benjamin Miller and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents and Southern Medical Journal.

In The Last Decade

Sara Yankelev

8 papers receiving 483 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Yankelev 331 234 197 188 124 8 501
Maria Amodio-Groton 340 1.0× 153 0.7× 222 1.1× 193 1.0× 58 0.5× 15 521
Ennie Cano 188 0.6× 181 0.8× 198 1.0× 103 0.5× 99 0.8× 9 482
C T Eliopoulos 272 0.8× 178 0.8× 171 0.9× 177 0.9× 189 1.5× 8 506
Pejman Dehghanyar 146 0.4× 326 1.4× 119 0.6× 99 0.5× 87 0.7× 11 525
Jerome Santoro 186 0.6× 198 0.8× 161 0.8× 89 0.5× 73 0.6× 25 485
Michael T. Zelasky 249 0.8× 107 0.5× 136 0.7× 93 0.5× 91 0.7× 13 551
Monique R. Bidell 260 0.8× 157 0.7× 166 0.8× 72 0.4× 133 1.1× 26 597
Lina Meng 176 0.5× 203 0.9× 145 0.7× 133 0.7× 54 0.4× 24 486
Lawrence L. Livornese 413 1.2× 97 0.4× 125 0.6× 287 1.5× 100 0.8× 13 596
Maria Joyce 311 0.9× 89 0.4× 273 1.4× 183 1.0× 95 0.8× 16 572

Countries citing papers authored by Sara Yankelev

Since Specialization
Citations

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

Fields of papers citing papers by Sara Yankelev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Yankelev. 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 Sara Yankelev. The network helps show where Sara Yankelev may publish in the future.

Co-authorship network of co-authors of Sara Yankelev

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Yankelev. A scholar is included among the top collaborators of Sara Yankelev 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 Sara Yankelev. Sara Yankelev 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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