Sarah W. Read

29 total papers · 767 total citations
19 papers, 518 citations indexed

About

Sarah W. Read is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Sarah W. Read has authored 19 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Virology, 10 papers in Infectious Diseases and 6 papers in Immunology. Recurrent topics in Sarah W. Read's work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (6 papers) and COVID-19 Clinical Research Studies (4 papers). Sarah W. Read is often cited by papers focused on HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (6 papers) and COVID-19 Clinical Research Studies (4 papers). Sarah W. Read collaborates with scholars based in United States, Switzerland and Japan. Sarah W. Read's co-authors include Peter Kim, Anthony S. Fauci, Irini Sereti, Peter S. Kim, Emily J. Ciccone, Daniel C. Douek, Ronald J. Bosch, Cara C. Wilson, Jessica N. Hodge and Alan Landay and has published in prestigious journals such as JAMA, Blood and Annals of Internal Medicine.

In The Last Decade

Sarah W. Read

17 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Sarah W. Read 242 232 162 133 109 19 518
Emma Concetta Manno 205 0.8× 251 1.1× 161 1.0× 146 1.1× 154 1.4× 34 575
Aarthi Talla 238 1.0× 190 0.8× 242 1.5× 33 0.2× 136 1.2× 16 604
Salvatore Rocca 196 0.8× 197 0.8× 134 0.8× 131 1.0× 149 1.4× 10 492
Michael K. Klebert 167 0.7× 446 1.9× 100 0.6× 65 0.5× 55 0.5× 10 564
Stacey A. Rizza 244 1.0× 230 1.0× 140 0.9× 50 0.4× 180 1.7× 42 556
Mehwish Younas 212 0.9× 131 0.6× 232 1.4× 83 0.6× 95 0.9× 15 499
Li Ts 351 1.5× 306 1.3× 118 0.7× 58 0.4× 221 2.0× 19 599
Sara Lozano 316 1.3× 206 0.9× 179 1.1× 64 0.5× 122 1.1× 27 460
Nanci Hawley‐Foss 341 1.4× 298 1.3× 167 1.0× 59 0.4× 160 1.5× 19 588
P. de Truchis 252 1.0× 352 1.5× 32 0.2× 147 1.1× 202 1.9× 20 588

Countries citing papers authored by Sarah W. Read

Since Specialization
Citations

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

Fields of papers citing papers by Sarah W. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah W. Read. 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 Sarah W. Read. The network helps show where Sarah W. Read may publish in the future.

Co-authorship network of co-authors of Sarah W. Read

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah W. Read. A scholar is included among the top collaborators of Sarah W. Read 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 Sarah W. Read. Sarah W. Read 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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