Michael Letko

6.0k total citations · 1 hit paper
33 papers, 3.3k citations indexed

About

Michael Letko is a scholar working on Infectious Diseases, Animal Science and Zoology and Virology. According to data from OpenAlex, Michael Letko has authored 33 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Infectious Diseases, 12 papers in Animal Science and Zoology and 9 papers in Virology. Recurrent topics in Michael Letko's work include SARS-CoV-2 and COVID-19 Research (19 papers), Animal Virus Infections Studies (12 papers) and Viral gastroenteritis research and epidemiology (9 papers). Michael Letko is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), Animal Virus Infections Studies (12 papers) and Viral gastroenteritis research and epidemiology (9 papers). Michael Letko collaborates with scholars based in United States, United Kingdom and China. Michael Letko's co-authors include Vincent J. Munster, Andrea Marzi, Stephanie N. Seifert, Raina K. Plowright, Kevin J. Olival, Marcel Ooms, Viviana Simon, Neeltje van Doremalen, Dana Scott and Bronwyn M. Gunn and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Letko

32 papers receiving 3.2k citations

Hit Papers

Functional assessment of cell entry and receptor usage fo... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Letko United States 17 2.6k 534 412 402 379 33 3.3k
Mart M. Lamers Netherlands 25 2.4k 0.9× 784 1.5× 422 1.0× 572 1.4× 319 0.8× 51 3.6k
Susanne Pfefferle Germany 24 2.4k 0.9× 492 0.9× 537 1.3× 392 1.0× 404 1.1× 63 3.2k
Reed F. Johnson United States 29 2.1k 0.8× 628 1.2× 334 0.8× 778 1.9× 180 0.5× 85 3.2k
Markus Eickmann Germany 29 2.6k 1.0× 571 1.1× 473 1.1× 946 2.4× 216 0.6× 74 4.1k
Xing‐Yi Ge China 25 2.4k 0.9× 627 1.2× 933 2.3× 345 0.9× 194 0.5× 84 3.5k
Danielle E. Anderson Singapore 25 2.2k 0.8× 467 0.9× 360 0.9× 592 1.5× 116 0.3× 65 3.0k
Emma C. Thomson United Kingdom 22 2.9k 1.1× 938 1.8× 326 0.8× 828 2.1× 210 0.6× 90 4.0k
Fei Yu China 26 1.7k 0.7× 578 1.1× 264 0.6× 862 2.1× 252 0.7× 83 2.8k
Jian Yu United States 29 2.6k 1.0× 979 1.8× 392 1.0× 488 1.2× 194 0.5× 60 3.8k
Stephen A. Rawlings United States 15 2.7k 1.0× 791 1.5× 161 0.4× 291 0.7× 546 1.4× 36 3.5k

Countries citing papers authored by Michael Letko

Since Specialization
Citations

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

Fields of papers citing papers by Michael Letko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Letko

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

All Works

20 of 20 papers shown
2.
Doremalen, Neeltje van, Trenton Bushmaker, Robert J. Fischer, et al.. (2024). Transmission dynamics of MERS-CoV in a transgenic human DPP4 mouse model. SHILAP Revista de lepidopterología. 2(1). 36–36.
3.
Guo, Hua, Ang Li, Hao-Rui Si, et al.. (2023). Isolation of ACE2-dependent and -independent sarbecoviruses from Chinese horseshoe bats. Journal of Virology. 97(9). e0039523–e0039523. 5 indexed citations
4.
Guo, Hua, Ang Li, Haofeng Lin, et al.. (2022). The Glycan-Binding Trait of the Sarbecovirus Spike N-Terminal Domain Reveals an Evolutionary Footprint. Journal of Virology. 96(15). e0095822–e0095822. 9 indexed citations
5.
Guo, Hua, Ang Li, Jia Su, et al.. (2022). ACE2-Independent Bat Sarbecovirus Entry and Replication in Human and Bat Cells. mBio. 13(6). e0256622–e0256622. 16 indexed citations
7.
Seifert, Stephanie N., Elizabeth B. Norton, Kevin J. Zwezdaryk, et al.. (2022). An ACE2-dependent Sarbecovirus in Russian bats is resistant to SARS-CoV-2 vaccines. PLoS Pathogens. 18(9). e1010828–e1010828. 27 indexed citations
8.
Wells, Heather, Michael Letko, Gorka Lasso, et al.. (2021). The evolutionary history of ACE2 usage within the coronavirus subgenus Sarbecovirus. Virus Evolution. 7(1). veab007–veab007. 49 indexed citations
9.
Fischer, Robert J., Jyothi N. Purushotham, Neeltje van Doremalen, et al.. (2021). ChAdOx1-vectored Lassa fever vaccine elicits a robust cellular and humoral immune response and protects guinea pigs against lethal Lassa virus challenge. npj Vaccines. 6(1). 32–32. 32 indexed citations
10.
Letko, Michael, Andrea Marzi, & Vincent J. Munster. (2020). Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses. Nature Microbiology. 5(4). 562–569. 2065 indexed citations breakdown →
11.
Letko, Michael, Stephanie N. Seifert, Kevin J. Olival, Raina K. Plowright, & Vincent J. Munster. (2020). Bat-borne virus diversity, spillover and emergence. Nature Reviews Microbiology. 18(8). 461–471. 321 indexed citations
12.
Letko, Michael & Vincent J. Munster. (2019). Studying Evolutionary Adaptation of MERS-CoV. Methods in molecular biology. 2099. 3–8. 4 indexed citations
13.
Adney, Danielle R., Michael Letko, Izabela Ragan, et al.. (2019). Bactrian camels shed large quantities of Middle East respiratory syndrome coronavirus (MERS-CoV) after experimental infection. Emerging Microbes & Infections. 8(1). 717–723. 28 indexed citations
14.
Letko, Michael, Vincent J. Munster, Rashid Manzoor, et al.. (2018). Single-Nucleotide Polymorphisms in Human NPC1 Influence Filovirus Entry Into Cells. The Journal of Infectious Diseases. 218(suppl_5). S397–S402. 16 indexed citations
15.
Letko, Michael, Kerri Miazgowicz, Stephanie N. Seifert, et al.. (2018). Adaptive Evolution of MERS-CoV to Species Variation in DPP4. Cell Reports. 24(7). 1730–1737. 90 indexed citations
16.
Reddy, Kavidha, Marcel Ooms, Michael Letko, et al.. (2016). Functional characterization of Vif proteins from HIV-1 infected patients with different APOBEC3G haplotypes. AIDS. 30(11). 1723–1729. 12 indexed citations
17.
Ooms, Marcel, Michael Letko, & Viviana Simon. (2016). The Structural Interface between HIV-1 Vif and Human APOBEC3H. Journal of Virology. 91(5). 24 indexed citations
18.
McCarthy, Kevin R., Marcel Ooms, Michael Letko, et al.. (2013). APOBEC3G Polymorphism as a Selective Barrier to Cross-Species Transmission and Emergence of Pathogenic SIV and AIDS in a Primate Host. PLoS Pathogens. 9(10). e1003641–e1003641. 41 indexed citations
19.
Ooms, Marcel, Michael Letko, Christopher D. Pilcher, et al.. (2013). HIV-1 Vif Adaptation to Human APOBEC3H Haplotypes. Cell Host & Microbe. 14(4). 411–421. 88 indexed citations
20.
Letko, Michael, Guido Silvestri, Beatrice H. Hahn, et al.. (2013). Vif Proteins from Diverse Primate Lentiviral Lineages Use the Same Binding Site in APOBEC3G. Journal of Virology. 87(21). 11861–11871. 28 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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