Matthew F. Barber
- Geriatrics and Gerontology top 1%
- Physiology top 5%
- Microbiology top 10%
- Endocrinology top 10%
- Vibrio bacteria research studies 2
- Epidemiology top 10%
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- interferon and immune responses 3
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
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- Trace Elements in Health 2
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- Iron Metabolism and Disorders 2
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- Bacterial Genetics and Biotechnology 2
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Nels C. EldeJörn CoersGregory A. TaylorWei LiSilvana ParedesYuanxin XiLuisa TasselliMitomu Kioi
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Matthew F. Barber
15 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Geriatrics and Gerontology 323
- Physiology 89
- Microbiology 55
- Endocrinology 43
- Epidemiology 279
Countries citing papers authored by Matthew F. Barber
This map shows the geographic impact of Matthew F. Barber'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 F. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew F. Barber more than expected).
Fields of papers citing papers by Matthew F. Barber
This network shows the impact of papers produced by Matthew F. Barber. 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 F. Barber. The network helps show where Matthew F. Barber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew F. Barber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 20 | |
| 12 | 2016 | 165 | |
| 13 | 2015 | 91 | |
| 14 | 2014 | 136 | |
| 15 | SIRT7 links H3K18 deacetylation to maintenance of oncogenic transformationbreakdown → | 2012 | 479 |
About Matthew F. Barber
Matthew F. Barber is a scholar working on Endocrinology, Immunology, Geriatrics and Gerontology, Infectious Diseases and Nutrition and Dietetics, having authored 15 papers that have together received 961 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Vibrio bacteria research studies (2 papers), Trace Elements in Health (2 papers), Immune Cell Function and Interaction (2 papers), Iron Metabolism and Disorders (2 papers), Bacterial Genetics and Biotechnology (2 papers), Immune Response and Inflammation (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (323 citations), Physiology (89 citations), Microbiology (55 citations), Endocrinology (43 citations) and Epidemiology (279 citations). Matthew F. Barber has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Nels C. Elde, Jörn Coers, Gregory A. Taylor, Wei Li, Silvana Paredes, Yuanxin Xi, Luisa Tasselli, Mitomu Kioi, Kaifu Chen and Zarmik Moqtaderi. Their work appears in journals such as mBio, Genome Biology and Evolution, FEMS Microbiology Reviews, Current Biology and PLoS Genetics.
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.