Thienkhai Vu

4.2k total citations · 1 hit paper
18 papers, 3.5k citations indexed

About

Thienkhai Vu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Health Informatics. According to data from OpenAlex, Thienkhai Vu has authored 18 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Health Informatics. Recurrent topics in Thienkhai Vu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Radiology practices and education (4 papers). Thienkhai Vu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Radiology practices and education (4 papers). Thienkhai Vu collaborates with scholars based in United States and Japan. Thienkhai Vu's co-authors include Shaun R. Coughlin, David T. Hung, V I Wheaton, Israel Charo, Jae Ho Sohn, Ling Wang, Tania Nanevicz, Robert E. Gerszten, Christoph W. Turck and Ji Chen and has published in prestigious journals such as Nature, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Thienkhai Vu

18 papers receiving 3.5k citations

Hit Papers

Molecular cloning of a functional thrombin receptor revea... 1991 2026 2002 2014 1991 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thienkhai Vu United States 10 2.6k 1.2k 928 749 538 18 3.5k
Corie N. Shrimpton United States 14 897 0.3× 234 0.2× 924 1.0× 321 0.4× 233 0.4× 21 2.1k
Adrienne Boire United States 23 441 0.2× 904 0.8× 1.3k 1.4× 831 1.1× 83 0.2× 76 3.7k
Alexey S. Revenko United States 25 704 0.3× 689 0.6× 2.3k 2.5× 1.3k 1.8× 250 0.5× 60 3.6k
Sunita Patel–Hett United States 14 874 0.3× 188 0.2× 665 0.7× 202 0.3× 203 0.4× 21 1.8k
Michael Kluk United States 29 516 0.2× 309 0.3× 2.9k 3.1× 369 0.5× 293 0.5× 53 4.3k
Evgueni L. Saenko United States 34 2.8k 1.1× 791 0.7× 761 0.8× 89 0.1× 110 0.2× 95 3.6k
Antoninus Soosaipillai Canada 38 877 0.3× 1.8k 1.6× 1.3k 1.4× 604 0.8× 128 0.2× 91 3.6k
Thoas Fioretos Sweden 39 2.5k 0.9× 1.1k 1.0× 2.5k 2.7× 983 1.3× 120 0.2× 153 5.6k
Adam J. Mead United Kingdom 34 2.5k 0.9× 1.7k 1.4× 2.0k 2.2× 502 0.7× 37 0.1× 126 4.2k
Manuel Aivado United States 31 2.1k 0.8× 843 0.7× 1.2k 1.3× 130 0.2× 59 0.1× 89 3.3k

Countries citing papers authored by Thienkhai Vu

Since Specialization
Citations

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

Fields of papers citing papers by Thienkhai Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thienkhai Vu

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

All Works

18 of 18 papers shown
1.
Chaudhari, Gunvant, Timothy L. Chen, Gabby B. Joseph, et al.. (2022). Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports. Radiology Artificial Intelligence. 4(4). e210185–e210185. 9 indexed citations
2.
Sohn, Jae Ho, Yixin Chen, Dmytro Lituiev, et al.. (2022). Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study. Scientific Reports. 12(1). 8344–8344. 4 indexed citations
3.
Chaudhari, Gunvant, Timothy L. Chen, Valentina Pedoia, et al.. (2022). Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Medical Imaging. 22(1). 18–18. 3 indexed citations
4.
Seo, Youngho, et al.. (2021). High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. BMC Medical Imaging. 21(1). 66–66. 4 indexed citations
5.
Laguna, Benjamin, Timothy L. Chen, Gunvant Chaudhari, et al.. (2021). Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing. BMC Medical Informatics and Decision Making. 21(1). 213–213. 10 indexed citations
6.
Seo, Youngho, et al.. (2021). Algorithmic Prediction of Delayed Radiology Turn-Around-Time during Non-Business Hours. Academic Radiology. 29(5). e82–e90. 3 indexed citations
7.
Sohn, Jae Ho, Stanley Chun-Wei Lee, Amie Y. Lee, et al.. (2020). An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. Journal of Digital Imaging. 33(4). 1041–1046. 28 indexed citations
8.
Chen, Timothy L., et al.. (2020). Domain specific word embeddings for natural language processing in radiology. Journal of Biomedical Informatics. 113. 103665–103665. 18 indexed citations
9.
Calabrese, Evan, et al.. (2019). Low-Volume and High-Volume Readers of Neurological and Musculoskeletal MRI: Achieving Subspecialization in Radiology. Journal of the American College of Radiology. 17(2). 314–322. 2 indexed citations
10.
11.
Block, Brian L., Tejas S. Mehta, Gabriel M. Ortiz, et al.. (2017). Unusual Radiographic Presentation of Pneumocystis Pneumonia in a Patient with AIDS. SHILAP Revista de lepidopterología. 2017. 1–6. 9 indexed citations
12.
Parikh, Rushi V., Farzad Alemi, Daniel Kievlan, Thienkhai Vu, & Christopher F. Barnett. (2014). Acute Paraplegia during Weightlifting: An Unusual Vascular Catastrophe. Texas Heart Institute Journal. 41(4). 451–452. 1 indexed citations
13.
Gerszten, Robert E., Ji Chen, Ling Wang, et al.. (1994). Specificity of the thrombin receptor for agonist peptide is defined by its extracellular surface. Nature. 368(6472). 648–651. 179 indexed citations
14.
Coughlin, Shaun R., Thienkhai Vu, David T. Hung, & V I Wheaton. (1992). Expression Cloning and Characterization of a Functional Thrombin Receptor Reveals a Novel Proteolytic Mechanism of Receptor Activation. Seminars in Thrombosis and Hemostasis. 18(2). 161–166. 28 indexed citations
15.
Hung, David T., et al.. (1992). Thrombin-induced events in non-platelet cells are mediated by the unique proteolytic mechanism established for the cloned platelet thrombin receptor.. The Journal of Cell Biology. 116(3). 827–832. 133 indexed citations
16.
Vu, Thienkhai, V I Wheaton, David T. Hung, Israel Charo, & Shaun R. Coughlin. (1991). Domains specifying thrombin–receptor interaction. Nature. 353(6345). 674–677. 473 indexed citations
17.
Vu, Thienkhai, David T. Hung, V I Wheaton, & Shaun R. Coughlin. (1991). Molecular cloning of a functional thrombin receptor reveals a novel proteolytic mechanism of receptor activation. Cell. 64(6). 1057–1068. 2531 indexed citations breakdown →

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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