Keith E. Maier
Impact in
- Parasitology top 10%
- Parasitic Infections and Diagnostics
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- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
Papers in ⓘ
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- Electron Spin Resonance Studies 1
- Co-authors
- Matthew Levy (9 shared papers)Amy Yan (4 shared papers)Samantha E. Wilner (3 shared papers)Christian Melander (2 shared papers)Daniel L. Feldheim (2 shared papers)Gayatri Mukherjee (1 shared paper)Teresa P. DiLorenzo (1 shared paper)Supriya Pai (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Molecular Therapy — Nucleic Acids (2 papers)PLoS Pathogens (1 paper)Chemical Communications (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesBrazilIreland
In The Last Decade
Keith E. Maier
13 papers receiving 613 citations
Peers
Comparison fields: 5 of 80
- Parasitology 52
- Molecular Biology 435
- Biomaterials 65
- Molecular Medicine 16
- Insect Science 33
Countries citing papers authored by Keith E. Maier
This map shows the geographic impact of Keith E. Maier'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 Keith E. Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith E. Maier more than expected).
Fields of papers citing papers by Keith E. Maier
This network shows the impact of papers produced by Keith E. Maier. 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 Keith E. Maier. The network helps show where Keith E. Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith E. Maier, 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 | 2012 | 111 | |
| 2 | 2015 | 84 | |
| 3 | 2016 | 77 | |
| 4 | 2017 | 68 | |
| 5 | 2021 | 68 | |
| 6 | 2011 | 44 | |
| 7 | 2019 | 39 | |
| 8 | 2016 | 36 | |
| 9 | 2012 | 32 | |
| 10 | 2010 | 27 | |
| 11 | 2020 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2024 | 5 | |
| 14 | 2015 | 0 |
About Keith E. Maier
Keith E. Maier is a scholar working on Endocrinology, Biophysics, Molecular Biology, Parasitology and Biochemistry, having authored 14 papers that have together received 620 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (5 papers), Bacteriophages and microbial interactions (2 papers), Nanocluster Synthesis and Applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Electron Spin Resonance Studies (1 paper). The work is most often cited by research in Parasitology (52 citations), Molecular Biology (435 citations), Biomaterials (65 citations), Molecular Medicine (16 citations) and Insect Science (33 citations). Keith E. Maier has collaborated with scholars based in United States, Brazil and Ireland. Frequent co-authors include Matthew Levy, Amy Yan, Samantha E. Wilner, Christian Melander, Daniel L. Feldheim, Gayatri Mukherjee, Teresa P. DiLorenzo, Supriya Pai, Felipe Opazo and Deborah Palliser. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Nucleic Acids, PLoS Pathogens, Chemical Communications and Nature Communications.
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.