Brian J. Hicke
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Ecology top 10%
- Biomaterials top 10%
- Co-authors
- Yun LinDonald S. CoffeyShawn E. LupoldLarry GoldDion A. DanielsHang ChenKristine M. SwiderekYing-Fon Chang
- Topics
- Advanced biosensing and bioanalysis techniques (10 papers)RNA Interference and Gene Delivery (7 papers)RNA and protein synthesis mechanisms (6 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Brian J. Hicke
21 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.1k
- Biomedical Engineering 504
- Radiology, Nuclear Medicine and Imaging 243
- Ecology 177
- Biomaterials 141
Countries citing papers authored by Brian J. Hicke
This map shows the geographic impact of Brian J. Hicke'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 Brian J. Hicke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Hicke more than expected).
Fields of papers citing papers by Brian J. Hicke
This network shows the impact of papers produced by Brian J. Hicke. 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 Brian J. Hicke. The network helps show where Brian J. Hicke may publish in the future.
Co-authorship network of co-authors of Brian J. Hicke
This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Hicke. A scholar is included among the top collaborators of Brian J. Hicke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian J. Hicke. Brian J. Hicke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 29 | |
| 3 | 11 | |
| 4 | Tumor targeting by an aptamer. | 295 |
| 5 | 19 | |
| 6 | 462 | |
| 7 | Identification and characterization of nuclease-stabilized RNA molecules that bind human prostate cancer cells via the prostate-specific membrane antigen. | 451 |
| 8 | 257 | |
| 9 | A high throughput platform for systematic evolution of ligands by exponential enrichment (SELEX). | 44 |
| 10 | 45 | |
| 11 | 78 | |
| 12 | 110 | |
| 13 | 87 | |
| 14 | 12 | |
| 15 | 54 | |
| 16 | 161 | |
| 17 | 55 | |
| 18 | 42 | |
| 19 | 31 | |
| 20 | 57 |
About Brian J. Hicke
Brian J. Hicke is a scholar working on Immunology and Allergy, Clinical Biochemistry and Molecular Biology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Immunology and Allergy (100 citations) and Biomedical Engineering (504 citations). Brian J. Hicke has collaborated with scholars based in United States, India and France. Frequent co-authors include Yun Lin, Donald S. Coffey, Shawn E. Lupold, Larry Gold, Dion A. Daniels, Hang Chen, Kristine M. Swiderek, Ying-Fon Chang, Thomas R. Cech and Michael C. Willis. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.