Umut Karakus

759 total citations
12 papers, 366 citations indexed

About

Umut Karakus is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Umut Karakus has authored 12 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Umut Karakus's work include Influenza Virus Research Studies (7 papers), interferon and immune responses (6 papers) and Immune Response and Inflammation (4 papers). Umut Karakus is often cited by papers focused on Influenza Virus Research Studies (7 papers), interferon and immune responses (6 papers) and Immune Response and Inflammation (4 papers). Umut Karakus collaborates with scholars based in Switzerland, United States and Slovakia. Umut Karakus's co-authors include Silke Stertz, Marie O. Pohl, Benjamin G. Hale, Idoia Busnadiego, Alexandra Trkola, Michael Huber, Emilio Yángüez, Annika Hunziker, Soner Yildiz and Adolfo Garcı́a-Sastre and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Virology.

In The Last Decade

Umut Karakus

10 papers receiving 363 citations

Peers

Umut Karakus

ID

EPIDE

IMMUN

MB

GENET

Jesús Zepeda–Cervantes Mexico

Wenzhuo Hao United States

Suki Man-Yan Lee Hong Kong

Jessie Kulsuptrakul United States

Yajuan Rui China

Junyuan Ren United Kingdom

Timothy J.C. Tan United States

Jianru Qin China

Kin Kui Lai United States

Jillian N. Whelan United States

Jesús Zepeda–Cervantes Mexico

Umut Karakus

212 ×1.1

ID

66 ×0.4

EPIDE

89 ×0.7

IMMUN

187 ×2.1

MB

39 ×1.1

GENET

Citations per year, relative to Umut Karakus Umut Karakus (= 1×) peers Jesús Zepeda–Cervantes

Countries citing papers authored by Umut Karakus

Since Specialization

Citations

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

Fields of papers citing papers by Umut Karakus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umut Karakus

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

All Works

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12 of 12 papers shown

1.

Karakus, Umut, et al.. (2025). Cell binding, uptake, and infection of influenza A virus using recombinant antibody-based receptors. Journal of Virology. 99(5). e0227524–e0227524.

2.

Friedrich, Nikolas, Branislav Ivan, Carsten Magnus, et al.. (2025). Assessing bnAb potency in the context of HIV-1 envelope conformational plasticity. PLoS Pathogens. 21(1). e1012825–e1012825.

3.

Karakus, Umut, Ignacio Mena, Jithesh Kottur, et al.. (2024). H19 influenza A virus exhibits species-specific MHC class II receptor usage. Cell Host & Microbe. 32(7). 1089–1102.e10. 35 indexed citations

4.

Karakus, Umut, J. von Kempis, Soner Yildiz, et al.. (2024). MHC class II proteins mediate sialic acid independent entry of human and avian H2N2 influenza A viruses. Nature Microbiology. 9(10). 2626–2641. 8 indexed citations

5.

Escalera, Alba, Manon Laporte, S. Richard Turner, et al.. (2023). The impact of S2 mutations on Omicron SARS-CoV-2 cell surface expression and fusogenicity. Emerging Microbes & Infections. 13(1). 2297553–2297553. 6 indexed citations

6.

Busnadiego, Idoia, et al.. (2022). Restriction factor screening identifies RABGAP1L-mediated disruption of endocytosis as a host antiviral defense. Cell Reports. 38(12). 110549–110549. 11 indexed citations

7.

Schotsaert, Michael, Carsten Magnus, Umut Karakus, et al.. (2021). IFITM3 incorporation sensitizes influenza A virus to antibody-mediated neutralization. The Journal of Experimental Medicine. 218(6). 18 indexed citations

8.

Pohl, Marie O., Idoia Busnadiego, Verena Kufner, et al.. (2021). SARS-CoV-2 variants reveal features critical for replication in primary human cells. PLoS Biology. 19(3). e3001006–e3001006. 39 indexed citations

9.

Busnadiego, Idoia, Marie O. Pohl, Umut Karakus, et al.. (2020). Antiviral Activity of Type I, II, and III Interferons Counterbalances ACE2 Inducibility and Restricts SARS-CoV-2. mBio. 11(5). 120 indexed citations

10.

Karakus, Umut, Marie O. Pohl, & Silke Stertz. (2019). Breaking the Convention: Sialoglycan Variants, Coreceptors, and Alternative Receptors for Influenza A Virus Entry. Journal of Virology. 94(4). 38 indexed citations

11.

Karakus, Umut, et al.. (2018). Propagation and Titration of Influenza Viruses. Methods in molecular biology. 1836. 59–88. 50 indexed citations

12.

Yángüez, Emilio, Annika Hunziker, Maria Pamela Dobay, et al.. (2018). Phosphoproteomic-based kinase profiling early in influenza virus infection identifies GRK2 as antiviral drug target. Nature Communications. 9(1). 3679–3679. 41 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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