Emily Speranza

76 total papers · 1.5k total citations
23 papers, 636 citations indexed

About

Emily Speranza is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Emily Speranza has authored 23 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Emily Speranza's work include Viral Infections and Outbreaks Research (7 papers), Viral Infections and Vectors (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Emily Speranza is often cited by papers focused on Viral Infections and Outbreaks Research (7 papers), Viral Infections and Vectors (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Emily Speranza collaborates with scholars based in United States, United Kingdom and Germany. Emily Speranza's co-authors include Jonathan M. Hernandez, Anita Gola, Andrea J. Radtke, Ronald N. Germain, Rochelle M. Shih, John H. Connor, Claudia Sala, Iain D. C. Fraser, Harikesh S. Wong and Michael G. Dorrington and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Emily Speranza

21 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Emily Speranza 225 211 180 150 64 23 636
Brittani Bungart 124 0.6× 110 0.5× 226 1.3× 105 0.7× 31 0.5× 17 569
Ulfert Rand 201 0.9× 140 0.7× 351 1.9× 178 1.2× 13 0.2× 26 651
Andrea Imle 163 0.7× 64 0.3× 148 0.8× 53 0.4× 26 0.4× 17 561
Stewart T. Chang 282 1.3× 185 0.9× 315 1.8× 146 1.0× 12 0.2× 19 732
Bianca Schulte 211 0.9× 410 1.9× 181 1.0× 115 0.8× 4 0.1× 25 788
César A. Virgen 210 0.9× 185 0.9× 218 1.2× 209 1.4× 8 0.1× 19 715
Yi-Ping Shih 327 1.5× 110 0.5× 50 0.3× 43 0.3× 15 0.2× 19 585
Alina Lelic 168 0.7× 88 0.4× 314 1.7× 143 1.0× 21 0.3× 14 635
Jun Fan 197 0.9× 80 0.4× 98 0.5× 145 1.0× 8 0.1× 45 577
Frank Mandy 252 1.1× 122 0.6× 174 1.0× 96 0.6× 43 0.7× 25 696

Countries citing papers authored by Emily Speranza

Since Specialization
Citations

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

Fields of papers citing papers by Emily Speranza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Speranza

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