Matthew Halma
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA and protein synthesis mechanisms 3
- DNA and Nucleic Acid Chemistry 3
- DNA Repair Mechanisms 2
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- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Paul E. Marik (9 shared papers)Michael T. Woodside (3 shared papers)Jack A. Tuszyński (7 shared papers)Gijs J. L. Wuite (5 shared papers)Dustin B. Ritchie (2 shared papers)Krishna Neupane (2 shared papers)Theresa A Lawrie (3 shared papers)Joshua Guetzkow (1 shared paper)
- Journals
- Hormone and Metabolic Research (1 paper)Nutrients (1 paper)Drug Discovery Today (1 paper)Nature Communications (1 paper)Environmental Toxicology (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Matthew Halma
27 papers receiving 233 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 43
- Molecular Biology 120
- Cardiology and Cardiovascular Medicine 32
- Geriatrics and Gerontology 3
- Cancer Research 13
Countries citing papers authored by Matthew Halma
This map shows the geographic impact of Matthew Halma'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 Halma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Halma more than expected).
Fields of papers citing papers by Matthew Halma
This network shows the impact of papers produced by Matthew Halma. 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 Halma. The network helps show where Matthew Halma may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Halma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2023 | 27 | |
| 3 | 2022 | 22 | |
| 4 | 2024 | 19 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Matthew Halma
Matthew Halma is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Physiology and Neurology, having authored 37 papers that have together received 236 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Virus-based gene therapy research (3 papers), Computational Drug Discovery Methods (3 papers), RNA and protein synthesis mechanisms (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Long-Term Effects of COVID-19 (3 papers), Diet and metabolism studies (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (43 citations), Molecular Biology (120 citations), Cardiology and Cardiovascular Medicine (32 citations), Geriatrics and Gerontology (3 citations) and Cancer Research (13 citations). Matthew Halma has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Paul E. Marik, Michael T. Woodside, Jack A. Tuszyński, Gijs J. L. Wuite, Dustin B. Ritchie, Krishna Neupane, Theresa A Lawrie, Joshua Guetzkow, Joseph Varón and Jessica Rose. Their work appears in journals such as Hormone and Metabolic Research, Nutrients, Drug Discovery Today, Nature Communications and Environmental Toxicology.
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.