Skyler Uhl

7.3k total citations · 2 hit papers
11 papers, 3.2k citations indexed

About

Skyler Uhl is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Skyler Uhl has authored 11 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Skyler Uhl's work include interferon and immune responses (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Skyler Uhl is often cited by papers focused on interferon and immune responses (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Skyler Uhl collaborates with scholars based in United States, Israel and Denmark. Skyler Uhl's co-authors include Benjamin R. tenOever, Daisy A. Hoagland, Rasmus Møller, Daniel Blanco-Melo, Maryline Panis, Jean K. Lim, Kohei Oishi, David Sachs, Benjamin E. Nilsson-Payant and Robert E. Schwartz and has published in prestigious journals such as Cell, Immunity and Journal of Virology.

In The Last Decade

Skyler Uhl

11 papers receiving 3.2k citations

Hit Papers

Imbalanced Host Response ... 2020 2026 2022 2024 2020 2022 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Skyler Uhl 2.2k 899 872 719 340 11 3.2k
Daisy A. Hoagland 2.3k 1.0× 908 1.0× 812 0.9× 805 1.1× 334 1.0× 5 3.3k
Sarah R. Leist 2.9k 1.3× 723 0.8× 583 0.7× 549 0.8× 441 1.3× 49 3.7k
Lecia L. Pewe 1.8k 0.8× 568 0.6× 1.5k 1.7× 459 0.6× 474 1.4× 61 3.7k
Zhiyong Ma 1.7k 0.8× 911 1.0× 540 0.6× 743 1.0× 981 2.9× 54 3.5k
Rasmus Møller 2.1k 0.9× 814 0.9× 756 0.9× 644 0.9× 309 0.9× 6 2.9k
Kohei Oishi 2.2k 1.0× 813 0.9× 815 0.9× 699 1.0× 474 1.4× 14 3.0k
Waradon Sungnak 1.1k 0.5× 501 0.6× 522 0.6× 263 0.4× 262 0.8× 7 2.2k
Benjamin E. Nilsson-Payant 2.1k 0.9× 778 0.9× 814 0.9× 692 1.0× 387 1.1× 12 2.9k
Josephine L. Barnes 1.2k 0.5× 500 0.6× 227 0.3× 506 0.7× 342 1.0× 10 2.2k
Tristan X. Jordan 2.5k 1.1× 818 0.9× 916 1.1× 1.1k 1.6× 652 1.9× 17 4.0k

Countries citing papers authored by Skyler Uhl

Since Specialization
Citations

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

Fields of papers citing papers by Skyler Uhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skyler Uhl

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

All Works

11 of 11 papers shown
1.
Uhl, Skyler, et al.. (2023). ADAR1 Biology Can Hinder Effective Antiviral RNA Interference. Journal of Virology. 97(4). e0024523–e0024523. 6 indexed citations
2.
Zazhytska, Marianna, Albana Kodra, Daisy A. Hoagland, et al.. (2022). Non-cell-autonomous disruption of nuclear architecture as a potential cause of COVID-19-induced anosmia. Cell. 185(6). 1052–1064.e12. 168 indexed citations breakdown →
3.
Nilsson-Payant, Benjamin E., Skyler Uhl, Adrien Grimont, et al.. (2021). The NF-κB Transcriptional Footprint Is Essential for SARS-CoV-2 Replication. Journal of Virology. 95(23). e0125721–e0125721. 61 indexed citations
4.
Nilsson-Payant, Benjamin E., Daniel Blanco-Melo, Skyler Uhl, et al.. (2021). Reduced Nucleoprotein Availability Impairs Negative-Sense RNA Virus Replication and Promotes Host Recognition. Journal of Virology. 95(9). 27 indexed citations
5.
Møller, Rasmus, et al.. (2021). SARS-CoV-2 infects human adult donor eyes and hESC-derived ocular epithelium. Cell stem cell. 28(7). 1205–1220.e7. 45 indexed citations
6.
Hoagland, Daisy A., Rasmus Møller, Skyler Uhl, et al.. (2021). Leveraging the antiviral type I interferon system as a first line of defense against SARS-CoV-2 pathogenicity. Immunity. 54(3). 557–570.e5. 105 indexed citations
8.
Gruber, Conor, Jorg J. A. Calis, Sofija Buta, et al.. (2020). Complex Autoinflammatory Syndrome Unveils Fundamental Principles of JAK1 Kinase Transcriptional and Biochemical Function. Immunity. 53(3). 672–684.e11. 82 indexed citations
9.
Blanco-Melo, Daniel, Benjamin E. Nilsson-Payant, Wen‐Chun Liu, et al.. (2020). Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19. Cell. 181(5). 1036–1045.e9. 2664 indexed citations breakdown →
10.
Ehrlich, Avner, Skyler Uhl, Konstantinos Ioannidis, et al.. (2020). The SARS-CoV-2 Transcriptional Metabolic Signature in Lung Epithelium. SSRN Electronic Journal. 45 indexed citations
11.
Rosenberg, Brad R., Catherine A. Freije, Naoko Imanaka, et al.. (2017). Genetic Variation at IFNL4 Influences Extrahepatic Interferon-Stimulated Gene Expression in Chronic HCV Patients. The Journal of Infectious Diseases. 217(4). 650–655. 15 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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