Paige Haas

6.5k total citations
3 papers, 123 citations indexed

About

Paige Haas is a scholar working on Infectious Diseases, Molecular Biology and Virology. According to data from OpenAlex, Paige Haas has authored 3 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Molecular Biology and 1 paper in Virology. Recurrent topics in Paige Haas's work include SARS-CoV-2 and COVID-19 Research (1 paper), HIV Research and Treatment (1 paper) and Insect symbiosis and bacterial influences (1 paper). Paige Haas is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (1 paper), HIV Research and Treatment (1 paper) and Insect symbiosis and bacterial influences (1 paper). Paige Haas collaborates with scholars based in United States and Brazil. Paige Haas's co-authors include Nevan J. Krogan, Judd F. Hultquist, Alexander Marson, Jennifer A. Doudna, Michael McGregor, Joseph Hiatt, Kathrin Schumann, Theodore L. Roth, Ruth Hüttenhain and Robyn M. Kaake and has published in prestigious journals such as Nature Protocols, Journal of Proteome Research and Cell chemical biology.

In The Last Decade

Paige Haas

3 papers receiving 121 citations

Peers

Paige Haas
Danielle Hunt United States
Sonja Ghidelli‐Disse United Kingdom
Abhilash K Venugopal India
Kyle D. Pedro United States
Kirsten Fraedrich Germany
Juliana C. Small United States
Violeta Fernández Cuba
Marinela Kirilova United States
David J. Pattinson Australia
Caelan E. Radford United States
Danielle Hunt United States
Paige Haas
Citations per year, relative to Paige Haas Paige Haas (= 1×) peers Danielle Hunt

Countries citing papers authored by Paige Haas

Since Specialization
Citations

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

Fields of papers citing papers by Paige Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paige Haas

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

All Works

3 of 3 papers shown
1.
Haas, Paige, Monita Muralidharan, Nevan J. Krogan, Robyn M. Kaake, & Ruth Hüttenhain. (2021). Proteomic Approaches to Study SARS-CoV-2 Biology and COVID-19 Pathology. Journal of Proteome Research. 20(2). 1133–1152. 24 indexed citations
2.
Hultquist, Judd F., Joseph Hiatt, Kathrin Schumann, et al.. (2018). CRISPR–Cas9 genome engineering of primary CD4+ T cells for the interrogation of HIV–host factor interactions. Nature Protocols. 14(1). 1–27. 78 indexed citations
3.
Cestari, Igor, Paige Haas, Nilmar Silvio Moretti, Sérgio Schenkman, & Ken Stuart. (2016). Chemogenetic Characterization of Inositol Phosphate Metabolic Pathway Reveals Druggable Enzymes for Targeting Kinetoplastid Parasites. Cell chemical biology. 23(5). 608–617. 21 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