Matthew Hackbart

909 citations
9 papers · 589 · h-index 7

Impact in

Papers in

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

Matthew Hackbart

9 papers receiving 579 citations

Peers

Matthew Hackbart
Comparison fields: 5 of 69
  • Infectious Diseases 418
  • Animal Science and Zoology 112
  • Immunology 124
  • Computational Theory and Mathematics 78
  • Modeling and Simulation 14
Replace Robert C. Mettelman with:
Robert C. Mettelman United States
Amornrat O’Brien United States
Ting Shu China
Tai‐Ling Chao Taiwan
Cornelius Rohde Germany
Keisuke Nakagawa Japan
Xingxing Yang China
Hannah Limburg Germany
Lok-Yin Roy Wong United States
Zhechong Zhou China
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 2017266
2 2020210
3 202029
4 202029
5 202121
6 202021
7 20237
8 20235
9 20241

About Matthew Hackbart

Matthew Hackbart is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 589 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), Animal Virus Infections Studies (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacteriophages and microbial interactions (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Plant Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (418 citations), Animal Science and Zoology (112 citations), Immunology (124 citations), Computational Theory and Mathematics (78 citations) and Modeling and Simulation (14 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, Anne H. Rowley, Carolina B. López and Kwang‐Youn A. Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, The Journal of Infectious Diseases, PLoS Biology and Virology.

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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