Ryan Trinh
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Small Animals top 10%
- Animal health and immunology
Papers in
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- Monoclonal and Polyclonal Antibodies Research 8
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- Glycosylation and Glycoproteins Research 5
- Biochemical and Molecular Research 1
- Angiogenesis and VEGF in Cancer 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Sherie L. Morrison (10 shared papers)Brian M. Gurbaxani (1 shared paper)M J Coloma (1 shared paper)M. Josefina Coloma (1 shared paper)Letitia A. Wims (2 shared papers)R. J. Etches (1 shared paper)M.H. Afif (1 shared paper)Manuel L. Penichet (2 shared papers)
- Journals
- Molecular Immunology (2 papers)Nature Biomedical Engineering (1 paper)The Journal of Immunology (1 paper)Journal of Clinical Oncology (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ryan Trinh
10 papers receiving 376 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 184
- Small Animals 38
- Immunology 108
- Molecular Biology 235
- Biotechnology 24
Countries citing papers authored by Ryan Trinh
This map shows the geographic impact of Ryan Trinh'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 Trinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Trinh more than expected).
Fields of papers citing papers by Ryan Trinh
This network shows the impact of papers produced by Ryan Trinh. 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 Trinh. The network helps show where Ryan Trinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Trinh, 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 | 2003 | 85 | |
| 2 | Position effects of variable region carbohydrate on the affinity and in vivo behavior of an anti-(1-->6) dextran antibody. | 1999 | 69 |
| 3 | 1999 | 68 | |
| 4 | 2002 | 63 | |
| 5 | 2018 | 42 | |
| 6 | 2005 | 21 | |
| 7 | 2004 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2013 | 2 | |
| 10 | 2013 | 1 |
About Ryan Trinh
Ryan Trinh is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Pathology and Forensic Medicine and Cell Biology, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers), Lymphoma Diagnosis and Treatment (2 papers), Galectins and Cancer Biology (2 papers), Biochemical and Molecular Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), RNA and protein synthesis mechanisms (1 paper) and Animal health and immunology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (184 citations), Small Animals (38 citations), Immunology (108 citations), Molecular Biology (235 citations) and Biotechnology (24 citations). Ryan Trinh has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sherie L. Morrison, Brian M. Gurbaxani, M J Coloma, M. Josefina Coloma, Letitia A. Wims, R. J. Etches, M.H. Afif, Manuel L. Penichet, Patrick P. Ng and Cynthia Koziol‐White. Their work appears in journals such as Molecular Immunology, Nature Biomedical Engineering, The Journal of Immunology, Journal of Clinical Oncology and Vaccine.
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.