Ryan J. Austin
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
Papers in
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- RNA and protein synthesis mechanisms 5
- Chemical Synthesis and Analysis 4
- Peroxisome Proliferator-Activated Receptors 1
- Receptor Mechanisms and Signaling 1
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Richard W. Roberts (6 shared papers)Terry T. Takahashi (3 shared papers)Steven W. Millward (1 shared paper)Tianbing Xia (2 shared papers)Jinsong Ren (2 shared papers)William W. Ja (2 shared papers)Stephen R. Sprang (1 shared paper)Anirban Adhikari (1 shared paper)
- Journals
- PROTEOMICS (2 papers)Journal of Biological Chemistry (1 paper)Trends in Biochemical Sciences (1 paper)Journal of the American Chemical Society (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan J. Austin
9 papers receiving 401 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 133
- Molecular Biology 377
- Microbiology 19
- Organic Chemistry 56
- Spectroscopy 26
Countries citing papers authored by Ryan J. Austin
This map shows the geographic impact of Ryan J. Austin'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 J. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. Austin more than expected).
Fields of papers citing papers by Ryan J. Austin
This network shows the impact of papers produced by Ryan J. Austin. 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 J. Austin. The network helps show where Ryan J. Austin may publish in the future.
Co-authors
The 18 scholars most cited alongside Ryan J. Austin, 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 | 2007 | 119 | |
| 2 | 2003 | 115 | |
| 3 | 2002 | 80 | |
| 4 | 2003 | 29 | |
| 5 | 2008 | 24 | |
| 6 | 2005 | 18 | |
| 7 | 2011 | 13 | |
| 8 | 2012 | 5 | |
| 9 | 2011 | 5 |
About Ryan J. Austin
Ryan J. Austin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Ecology and Cell Biology, having authored 9 papers that have together received 408 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chemical Synthesis and Analysis (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Bacteriophages and microbial interactions (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (133 citations), Molecular Biology (377 citations), Microbiology (19 citations), Organic Chemistry (56 citations) and Spectroscopy (26 citations). Ryan J. Austin has collaborated with scholars based in United States. Frequent co-authors include Richard W. Roberts, Terry T. Takahashi, Steven W. Millward, Tianbing Xia, Jinsong Ren, William W. Ja, Stephen R. Sprang, Anirban Adhikari, Rolf Kuestner and Daniel B. Martin. Their work appears in journals such as PROTEOMICS, Journal of Biological Chemistry, Trends in Biochemical Sciences, Journal of the American Chemical Society and ACS Chemical Biology.
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.