Matthew Hackbart

909 total citations
9 papers, 589 citations indexed

About

Matthew Hackbart is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Matthew Hackbart has authored 9 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Matthew Hackbart's work include interferon and immune responses (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). Matthew Hackbart is often cited by papers focused on interferon and immune responses (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). Matthew Hackbart collaborates with scholars based in United States. Matthew Hackbart's co-authors include Susan C. Baker, Xufang Deng, Amornrat O’Brien, Anna M. Mielech, Robert C. Mettelman, C. Cheng Kao, Guanghui Yi, Brianna J. Close, Da‐Yuan Chen and Carolina B. López and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and PLoS Biology.

In The Last Decade

Matthew Hackbart

9 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Hackbart United States	7	418	161	124	112	78	9	589
Amornrat O’Brien United States	12	495 1.2×	165 1.0×	150 1.2×	186 1.7×	98 1.3×	20	731
Tai‐Ling Chao Taiwan	14	393 0.9×	149 0.9×	83 0.7×	49 0.4×	89 1.1×	41	633
Zhechong Zhou China	7	527 1.3×	268 1.7×	91 0.7×	77 0.7×	91 1.2×	10	686
Robert C. Mettelman United States	11	388 0.9×	147 0.9×	185 1.5×	93 0.8×	64 0.8×	14	640
Lok-Yin Roy Wong United States	13	579 1.4×	177 1.1×	215 1.7×	104 0.9×	42 0.5×	24	818
Ting Shu China	10	534 1.3×	274 1.7×	136 1.1×	110 1.0×	54 0.7×	22	798
Suhua He China	9	548 1.3×	288 1.8×	91 0.7×	77 0.7×	91 1.2×	14	748
Bridget S. Banach United States	5	419 1.0×	173 1.1×	280 2.3×	131 1.2×	50 0.6×	7	630
Cornelius Rohde Germany	7	582 1.4×	165 1.0×	94 0.8×	69 0.6×	63 0.8×	13	740

Countries citing papers authored by Matthew Hackbart

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Hackbart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Hackbart

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

All Works

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9 of 9 papers shown

Hackbart, Matthew & Carolina B. López. (2024). Characterization of non-standard viral genomes during arenavirus infections identifies prominent S RNA intergenic region deletions. mBio. 15(10). e0161224–e0161224. 1 indexed citations

Felt, Sébastien A., et al.. (2023). VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets. RNA. 30(1). 16–25. 7 indexed citations

Yang, Yanling, et al.. (2023). Copy-back viral genomes induce a cellular stress response that interferes with viral protein expression without affecting antiviral immunity. PLoS Biology. 21(11). e3002381–e3002381. 5 indexed citations

O’Brien, Amornrat, Da‐Yuan Chen, Matthew Hackbart, et al.. (2021). Detecting SARS-CoV-2 3CLpro expression and activity using a polyclonal antiserum and a luciferase-based biosensor. Virology. 556. 73–78. 21 indexed citations

Rowley, Anne H., Susan C. Baker, Matthew Hackbart, et al.. (2020). A Protein Epitope Targeted by the Antibody Response to Kawasaki Disease. The Journal of Infectious Diseases. 222(1). 158–168. 29 indexed citations

Deng, Xufang, Anna M. Mielech, Matthew Hackbart, et al.. (2020). Structure-Guided Mutagenesis Alters Deubiquitinating Activity and Attenuates Pathogenesis of a Murine Coronavirus. Journal of Virology. 94(11). 21 indexed citations

Hackbart, Matthew, et al.. (2020). Coronavirus Endoribonuclease and Deubiquitinating Interferon Antagonists Differentially Modulate the Host Response during Replication in Macrophages. Journal of Virology. 94(11). 29 indexed citations

Hackbart, Matthew, Xufang Deng, & Susan C. Baker. (2020). Coronavirus endoribonuclease targets viral polyuridine sequences to evade activating host sensors. Proceedings of the National Academy of Sciences. 117(14). 8094–8103. 210 indexed citations

Deng, Xufang, Matthew Hackbart, Robert C. Mettelman, et al.. (2017). Coronavirus nonstructural protein 15 mediates evasion of dsRNA sensors and limits apoptosis in macrophages. Proceedings of the National Academy of Sciences. 114(21). E4251–E4260. 266 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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