Matthew Hackbart

938 citations
9 papers · 628 · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • Viral gastroenteritis research and epidemiology 2
    • Viral Infections and Outbreaks Research 1
    • interferon and immune responses 5

Matthew Hackbart

9 papers receiving 615 citations

Peers

Matthew Hackbart
Comparison fields: 5 of 68
  • Infectious Diseases 415
  • Animal Science and Zoology 110
  • Immunology 129
  • Computational Theory and Mathematics 77
  • Modeling and Simulation 13
Replace Robert C. Mettelman with:
Robert C. Mettelman United States
Amornrat O’Brien United States
Ziliang Zhou China
Xinling Wang China
Suhua He China
Bridget S. Banach United States
Cornelius Rohde Germany
Wan‐Man Wong Hong Kong
Keisuke Nakagawa Japan
Hannah Limburg Germany
Matthew Hackbart relative to Robert C. Mettelman United States Robert C. Mettelman's profile →
Citations per field
00.5×1.6×
Robert C. Mettelman · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Matthew Hackbart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Hackbart Line = papers co-authored together Matthew Hackbart links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2017279
2 2020221
3 202033
4 202029
5 202122
6 202021
7 202313
8 20238
9 20242

About Matthew Hackbart

Matthew Hackbart is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Cell Biology and Molecular Biology, having authored 9 papers that have together received 628 indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral gastroenteritis research and epidemiology (2 papers), CRISPR and Genetic Engineering (1 paper), Animal Virus Infections Studies (1 paper), RNA regulation and disease (1 paper), Viral Infections and Outbreaks Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (415 citations), Animal Science and Zoology (110 citations), Immunology (129 citations), Computational Theory and Mathematics (77 citations) and Modeling and Simulation (13 citations). Matthew Hackbart has collaborated with scholars based in United States. Frequent co-authors include Susan C. Baker, Xufang Deng, Amornrat O’Brien, Anna M. Mielech, Robert C. Mettelman, C. Cheng Kao, Guanghui Yi, Carolina Belmar Lopez, Da‐Yuan Chen and Mohsan Saeed. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, RNA, The Journal of Infectious Diseases and mBio.

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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