Stephanie S. Erlich

34 total papers · 925 total citations
14 papers, 672 citations indexed

About

Stephanie S. Erlich is a scholar working on Epidemiology, Infectious Diseases and Virology. According to data from OpenAlex, Stephanie S. Erlich has authored 14 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Virology. Recurrent topics in Stephanie S. Erlich's work include Sleep and Wakefulness Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). Stephanie S. Erlich is often cited by papers focused on Sleep and Wakefulness Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). Stephanie S. Erlich collaborates with scholars based in United States, Canada and United Kingdom. Stephanie S. Erlich's co-authors include Michael L.J. Apuzzo, Richard L. Davis, Shigeyo Hyman, Martin Weiß, J. Gordon McComb, Elliot D. Weitzman, U. Weinberg, Stephen A. Stohlman, Hideo H. Itabashi and Charles S. Hollander and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Journal of neurosurgery.

In The Last Decade

Stephanie S. Erlich

14 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Stephanie S. Erlich 188 141 138 129 89 14 672
Jane F. Donat 54 0.3× 180 1.3× 58 0.4× 32 0.2× 118 1.3× 38 791
David Dubayle 66 0.4× 105 0.7× 115 0.8× 44 0.3× 29 0.3× 21 607
Susana Hernández 97 0.5× 43 0.3× 19 0.1× 106 0.8× 49 0.6× 19 749
Chanran Ganta 54 0.3× 43 0.3× 79 0.6× 50 0.4× 46 0.5× 22 704
Taketsugu Minami 120 0.6× 230 1.6× 14 0.1× 78 0.6× 34 0.4× 31 753
Antoine Drieu 47 0.3× 157 1.1× 42 0.3× 100 0.8× 142 1.6× 16 749
Elizabeth Fagan 50 0.3× 47 0.3× 26 0.2× 63 0.5× 116 1.3× 18 686
Carlos Del Rio‐Bermudez 61 0.3× 137 1.0× 15 0.1× 42 0.3× 78 0.9× 16 591
Heather A. Mitchell 68 0.4× 161 1.1× 21 0.2× 69 0.5× 29 0.3× 15 728
Eric A. Linell 31 0.2× 328 2.3× 65 0.5× 68 0.5× 209 2.3× 15 750

Countries citing papers authored by Stephanie S. Erlich

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie S. Erlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie S. Erlich. 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 Stephanie S. Erlich. The network helps show where Stephanie S. Erlich may publish in the future.

Co-authorship network of co-authors of Stephanie S. Erlich

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie S. Erlich. A scholar is included among the top collaborators of Stephanie S. Erlich 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 Stephanie S. Erlich. Stephanie S. Erlich 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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