Ryan Hard
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Chemical Synthesis and Analysis
- Lipid Membrane Structure and Behavior
Papers in ⓘ
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- vaccines and immunoinformatics approaches 3
- Advanced biosensing and bioanalysis techniques 2
- Histone Deacetylase Inhibitors Research 2
- Genomics and Chromatin Dynamics 2
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Dehua Pei (5 shared papers)Ziqing Qian (2 shared papers)Agnieszka Martyna (1 shared paper)Mitch A. Phelps (1 shared paper)Christopher C. Coss (1 shared paper)Jeremy S. Rossman (1 shared paper)Jiang Wang (1 shared paper)Amy Barrios (1 shared paper)
- Journals
- Biochemistry (5 papers)Science Advances (1 paper)Advanced Science (1 paper)Journal of Chemical Information and Modeling (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ryan Hard
9 papers receiving 517 citations
Peers
Comparison fields: 5 of 54
- Microbiology 95
- Molecular Biology 465
- Radiology, Nuclear Medicine and Imaging 65
- Immunology 49
- Biomaterials 27
Countries citing papers authored by Ryan Hard
This map shows the geographic impact of Ryan Hard'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 Ryan Hard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Hard more than expected).
Fields of papers citing papers by Ryan Hard
This network shows the impact of papers produced by Ryan Hard. 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 Ryan Hard. The network helps show where Ryan Hard may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Hard, 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 | 2016 | 243 | |
| 2 | 2014 | 145 | |
| 3 | 2010 | 30 | |
| 4 | 2010 | 27 | |
| 5 | 2023 | 26 | |
| 6 | 2011 | 22 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 0 |
About Ryan Hard
Ryan Hard is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology and Biotechnology, having authored 10 papers that have together received 520 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Microbiology (95 citations), Molecular Biology (465 citations), Radiology, Nuclear Medicine and Imaging (65 citations), Immunology (49 citations) and Biomaterials (27 citations). Ryan Hard has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dehua Pei, Ziqing Qian, Agnieszka Martyna, Mitch A. Phelps, Christopher C. Coss, Jeremy S. Rossman, Jiang Wang, Amy Barrios, Wenlong Lian and Jonathan R. LaRochelle. Their work appears in journals such as Biochemistry, Science Advances, Advanced Science, Journal of Chemical Information and Modeling 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.