Ryan Trinh

521 total citations
10 papers, 389 citations indexed

About

Ryan Trinh is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Ryan Trinh has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Ryan Trinh's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Lymphoma Diagnosis and Treatment (2 papers). Ryan Trinh is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Lymphoma Diagnosis and Treatment (2 papers). Ryan Trinh collaborates with scholars based in United States, Canada and China. Ryan Trinh's co-authors include Sherie L. Morrison, Brian M. Gurbaxani, M. Josefina Coloma, M J Coloma, Letitia A. Wims, M.H. Afif, R. J. Etches, Patrick P. Ng, Manuel L. Penichet and William F. Jester and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Vaccine.

In The Last Decade

Ryan Trinh

10 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Trinh United States 8 235 184 108 44 38 10 389
Letitia A. Wims United States 14 373 1.6× 394 2.1× 190 1.8× 71 1.6× 52 1.4× 21 619
Mark Schütte Germany 9 295 1.3× 325 1.8× 128 1.2× 34 0.8× 11 0.3× 10 507
Henrik I. Elsner Denmark 9 222 0.9× 131 0.7× 189 1.8× 38 0.9× 8 0.2× 13 475
Daniela Ram Israel 11 361 1.5× 189 1.0× 230 2.1× 40 0.9× 24 0.6× 16 665
Vanina Alzogaray Argentina 8 357 1.5× 405 2.2× 207 1.9× 67 1.5× 12 0.3× 9 649
Stefan Pils Germany 7 155 0.7× 191 1.0× 131 1.2× 208 4.7× 9 0.2× 7 523
Jane Zveiter de Moraes Brazil 15 261 1.1× 106 0.6× 157 1.5× 93 2.1× 17 0.4× 28 647
Sara D’Angelo United States 16 553 2.4× 432 2.3× 132 1.2× 55 1.3× 10 0.3× 36 784
Welbeck Danquah Germany 6 273 1.2× 319 1.7× 169 1.6× 57 1.3× 8 0.2× 8 531
Ralf J. Hosse Switzerland 12 316 1.3× 289 1.6× 210 1.9× 181 4.1× 51 1.3× 16 675

Countries citing papers authored by Ryan Trinh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Trinh

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Trinh. A scholar is included among the top collaborators of Ryan Trinh 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 Ryan Trinh. Ryan Trinh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Pushkarsky, Ivan, Peter Tseng, Bryan France, et al.. (2018). Elastomeric sensor surfaces for high-throughput single-cell force cytometry. Nature Biomedical Engineering. 2(2). 124–137. 42 indexed citations
2.
Li, Zhaoting, Chenchen Li, Ryan Trinh, et al.. (2017). Anti-VEGFR2-interferon-α2 regulates the tumor microenvironment and exhibits potent antitumor efficacy against colorectal cancer. OncoImmunology. 6(3). e1290038–e1290038. 19 indexed citations
3.
Yamada, Reiko, Gataree Ngarmchamnanrith, Ryan Trinh, et al.. (2013). Anti-CD20-interferon-alpha fusion protein has superior in vivo activity against human B-cell lymphomas compared to rituximab and enhanced complement-dependent cytotoxicity in vitro.. Journal of Clinical Oncology. 31(15_suppl). 3024–3024. 1 indexed citations
4.
Yamada, Reiko, Gataree Ngarmchamnanrith, Ryan Trinh, et al.. (2013). Antibody-CD20-interferon-alpha fusion protein has superior in vivo activity against human B cell lymphomas compared to Rituximab, and enhanced complement-dependent cytotoxicity in vitro. Journal for ImmunoTherapy of Cancer. 1(Suppl 1). P263–P263. 2 indexed citations
6.
Asai, Tsuneaki, Ryan Trinh, Patrick P. Ng, et al.. (2004). A human biotin acceptor domain allows site-specific conjugation of an enzyme to an antibody-avidin fusion protein for targeted drug delivery. Biomolecular Engineering. 21(6). 145–155. 19 indexed citations
7.
Trinh, Ryan, et al.. (2003). Optimization of codon pair use within the (GGGGS)3 linker sequence results in enhanced protein expression. Molecular Immunology. 40(10). 717–722. 85 indexed citations
8.
Morrison, Sherie L., M.H. Afif, Letitia A. Wims, Ryan Trinh, & R. J. Etches. (2002). Sequences in antibody molecules important for receptor-mediated transport into the chicken egg yolk. Molecular Immunology. 38(8). 619–625. 63 indexed citations
9.
Coloma, M. Josefina, et al.. (1999). Position Effects of Variable Region Carbohydrate on the Affinity and In Vivo Behavior of an Anti-(1→6) Dextran Antibody. The Journal of Immunology. 162(4). 2162–2170. 68 indexed citations
10.
Coloma, M J, et al.. (1999). Position effects of variable region carbohydrate on the affinity and in vivo behavior of an anti-(1-->6) dextran antibody.. PubMed. 162(4). 2162–70. 69 indexed citations

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.

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