Laura Graf

419 total citations
2 papers, 33 citations indexed

About

Laura Graf is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Laura Graf has authored 2 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Modeling and Simulation, 1 paper in Infectious Diseases and 1 paper in Epidemiology. Recurrent topics in Laura Graf's work include COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Laura Graf is often cited by papers focused on COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Influenza Virus Research Studies (1 paper). Laura Graf collaborates with scholars based in United States. Laura Graf's co-authors include Sharon K. Greene, Gretchen M. Culp, Nicolas A. Menzies, Marc Lipsitch, Rebecca Kahn, Sarah F. McGough, Robert Mathes, Eric Peterson, Scott Hughes and Ramona Lall and has published in prestigious journals such as Science Advances and JMIR Public Health and Surveillance.

In The Last Decade

Laura Graf

2 papers receiving 33 citations

Peers

Laura Graf
Helen Coupland United Kingdom
Emily Hadley United States
Mélodie Monod United Kingdom
Harrison Zhu United Kingdom
Jukka Pukkila Switzerland
Claire Mackintosh United Kingdom
Kristen Nixon United States
Nadya Johanna Indonesia
Helen Coupland United Kingdom
Laura Graf
Citations per year, relative to Laura Graf Laura Graf (= 1×) peers Helen Coupland

Countries citing papers authored by Laura Graf

Since Specialization
Citations

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

Fields of papers citing papers by Laura Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Graf

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Graf. A scholar is included among the top collaborators of Laura Graf 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 Laura Graf. Laura Graf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Yang, Wan, Sharon K. Greene, Eric Peterson, et al.. (2022). Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant. Science Advances. 8(4). eabm0300–eabm0300. 10 indexed citations
2.
Greene, Sharon K., Sarah F. McGough, Gretchen M. Culp, et al.. (2021). Nowcasting for Real-Time COVID-19 Tracking in New York City: An Evaluation Using Reportable Disease Data From Early in the Pandemic. JMIR Public Health and Surveillance. 7(1). e25538–e25538. 23 indexed citations

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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2026