Huong Trinh

511 total citations
22 papers, 340 citations indexed

About

Huong Trinh is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Huong Trinh has authored 22 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Huong Trinh's work include Lung Cancer Treatments and Mutations (8 papers), Alzheimer's disease research and treatments (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Huong Trinh is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), Alzheimer's disease research and treatments (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Huong Trinh collaborates with scholars based in United States, Switzerland and United Kingdom. Huong Trinh's co-authors include Michael I. Miller, J. Tilak Ratnanather, Laurent Younès, Susumu Mori, Timothy Brown, David S. Lee, Daniel J. Tward, Pamela B. Mahon, Sally E. Trabucco and Robert L. Yauch and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

Huong Trinh

19 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huong Trinh United States 9 104 96 88 81 77 22 340
Isabelle Stangier Germany 7 136 1.3× 66 0.7× 71 0.8× 290 3.6× 141 1.8× 8 496
Minwei Zhu China 15 77 0.7× 167 1.7× 60 0.7× 67 0.8× 67 0.9× 33 469
Emma R. Mulder Netherlands 6 61 0.6× 39 0.4× 48 0.5× 378 4.7× 43 0.6× 11 513
Azzam Ismail United Kingdom 12 184 1.8× 106 1.1× 60 0.7× 77 1.0× 197 2.6× 31 459
Torbjörn Sundström Sweden 12 42 0.4× 275 2.9× 43 0.5× 87 1.1× 114 1.5× 23 468
Yongzhi Shan China 13 229 2.2× 72 0.8× 115 1.3× 90 1.1× 22 0.3× 86 518
B Scheithauer United States 5 286 2.8× 98 1.0× 97 1.1× 125 1.5× 18 0.2× 9 512
Octavio Arevalo United States 13 19 0.2× 104 1.1× 27 0.3× 92 1.1× 30 0.4× 43 505
Judith Kröll‐Seger Switzerland 7 159 1.5× 47 0.5× 52 0.6× 78 1.0× 19 0.2× 9 395
Katrina Moore Australia 9 44 0.4× 148 1.5× 46 0.5× 20 0.2× 39 0.5× 18 397

Countries citing papers authored by Huong Trinh

Since Specialization
Citations

This map shows the geographic impact of Huong 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 Huong Trinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huong Trinh more than expected).

Fields of papers citing papers by Huong Trinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huong 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 Huong Trinh. The network helps show where Huong Trinh may publish in the future.

Co-authorship network of co-authors of Huong Trinh

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

All Works

20 of 20 papers shown
1.
Yang, H. J., Thomas P. Wyche, Huong Trinh, et al.. (2024). A perfusion host‐microbe bioreactor (HMB) system that captures dynamic interactions of secreted metabolites between epithelial cells cocultured with a human gut anaerobe. Biotechnology and Bioengineering. 121(9). 2691–2705. 1 indexed citations
2.
Chen, Lü, Ryan M. Davis, Joe Lee, et al.. (2023). Comparison of response from RECIST1.1 and abstraction in real-world patients with lung cancer.. Journal of Clinical Oncology. 41(16_suppl). e21194–e21194.
3.
Zhang, Qing, W. Marston Linehan, Navdeep Pal, et al.. (2023). Real-World Comparative Effectiveness of First-Line Alectinib Versus Crizotinib in Patients With Advanced ALK-Positive NSCLC With or Without Baseline Central Nervous System Metastases. JTO Clinical and Research Reports. 4(4). 100483–100483. 7 indexed citations
4.
Vu, Loc, et al.. (2023). THE COANDA EFFECT CAUSED TURBULENCE AND DAMAGED THE INTIMA AT THE MIDDLE CORONARY SEGMENT. Journal of the American College of Cardiology. 81(8). 1418–1418.
5.
Ton, Thanh G.N., Navdeep Pal, Huong Trinh, et al.. (2022). Replication of Overall Survival, Progression-Free Survival, and Overall Response in Chemotherapy Arms of Non–Small Cell Lung Cancer Trials Using Real-World Data. Clinical Cancer Research. 28(13). 2844–2853. 13 indexed citations
6.
Carr, Donna, Huong Trinh, Fred Racine, et al.. (2022). Development of a fully automated platform for agar-based measurement of viable bacterial growth. SLAS TECHNOLOGY. 27(4). 247–252. 1 indexed citations
7.
Doebele, Robert C., Huong Trinh, Reynaldo Martina, et al.. (2021). Comparative effectiveness analysis between entrectinib clinical trial and crizotinib real-world data inROS1+ NSCLC. Journal of Comparative Effectiveness Research. 10(17). 1271–1282. 14 indexed citations
8.
9.
Fernando, Tharu M., Robert Piskol, Russell Bainer, et al.. (2020). Functional characterization of SMARCA4 variants identified by targeted exome-sequencing of 131,668 cancer patients. Nature Communications. 11(1). 5551–5551. 86 indexed citations
10.
Doebele, Robert C., Huong Trinh, Reynaldo Martina, et al.. (2019). P1.01-83 Comparative Efficacy Analysis Between Entrectinib Trial and Crizotinib Real-World ROS1 Fusion-Positive (ROS1+) NSCLC Patients. Journal of Thoracic Oncology. 14(10). S392–S392. 5 indexed citations
11.
12.
Krebs, Matthew, Letizia Polito, Vlatka Smoljanović, Huong Trinh, & Gracy Crane. (2019). Treatment patterns and outcomes for patients (pts) with anaplastic lymphoma kinase-positive (ALK+) advanced non-small cell lung cancer (NSCLC) in US clinical practice. Annals of Oncology. 30. v636–v637. 2 indexed citations
13.
14.
Mahon, Pamela B., David S. Lee, Huong Trinh, et al.. (2015). Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder. Schizophrenia Research. 164(1-3). 199–202. 20 indexed citations
15.
Miller, Michael I., Laurent Younès, J. Tilak Ratnanather, et al.. (2014). Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort. Neurobiology of Aging. 36. S3–S10. 52 indexed citations
16.
Trinh, Huong, et al.. (2014). GPs: Behind Closed Doors. British Journal of General Practice. 64(625). 412–412. 1 indexed citations
17.
Miller, Michael I., Laurent Younès, J. Tilak Ratnanather, et al.. (2013). The diffeomorphometry of temporal lobe structures in preclinical Alzheimer's disease. NeuroImage Clinical. 3. 352–360. 71 indexed citations
18.
Ceritoglu, Can, Xiaoying Tang, Timothy Brown, et al.. (2013). Computational analysis of LDDMM for brain mapping. Frontiers in Neuroscience. 7. 151–151. 34 indexed citations
19.
Younès, Laurent, Timothy Brown, Huong Trinh, et al.. (2012). Amygdala Atrophy in MCI/Alzheimer's Disease in the BIOCARD cohort based on Diffeomorphic Morphometry.. PubMed. 2012. 155–166. 14 indexed citations
20.
Ratnanather, J. Tilak, Timothy Brown, Huong Trinh, et al.. (2012). IC‐P‐114: Shape analysis of hippocampus and amygdala in BIOCARD. Alzheimer s & Dementia. 8(4S_Part_2). 2 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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