Tyler Dao

543 total citations
16 papers, 386 citations indexed

About

Tyler Dao is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tyler Dao has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Tyler Dao's work include Colorectal Cancer Screening and Detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Esophageal Cancer Research and Treatment (3 papers). Tyler Dao is often cited by papers focused on Colorectal Cancer Screening and Detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Esophageal Cancer Research and Treatment (3 papers). Tyler Dao collaborates with scholars based in United States and Canada. Tyler Dao's co-authors include James Requa, Andrew Ninh, Jason Samarasena, Kenneth J. Chang, Rintaro Hashimoto, Elise Tran, William E. Karnes, William E. Karnes, Rony Zachariah and Efren Rael and has published in prestigious journals such as Gastroenterology, The American Journal of Gastroenterology and Gastrointestinal Endoscopy.

In The Last Decade

Tyler Dao

15 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Dao United States 7 235 184 148 122 70 16 386
Andrew Ninh United States 7 251 1.1× 195 1.1× 142 1.0× 129 1.1× 79 1.1× 23 401
James Requa United States 7 276 1.2× 208 1.1× 149 1.0× 137 1.1× 81 1.2× 22 422
Takahide Shinagawa Japan 9 225 1.0× 168 0.9× 162 1.1× 82 0.7× 31 0.4× 33 415
Florian Soudan Canada 4 361 1.5× 205 1.1× 96 0.6× 212 1.7× 124 1.8× 5 473
João Afonso Portugal 14 277 1.2× 197 1.1× 212 1.4× 98 0.8× 56 0.8× 55 479
Tiago Ribeiro Portugal 15 285 1.2× 208 1.1× 219 1.5× 97 0.8× 55 0.8× 57 506
Ayako Nakada Japan 9 308 1.3× 238 1.3× 168 1.1× 83 0.7× 43 0.6× 13 530
Fanhua Ming China 5 157 0.7× 131 0.7× 95 0.6× 100 0.8× 63 0.9× 7 351
Jeroen de Groof Netherlands 7 128 0.5× 169 0.9× 149 1.0× 71 0.6× 34 0.5× 22 276
Kiki Fockens Netherlands 7 206 0.9× 308 1.7× 288 1.9× 129 1.1× 51 0.7× 22 479

Countries citing papers authored by Tyler Dao

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Dao

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

All Works

16 of 16 papers shown
1.
Samarasena, Jason, Vani J. Konda, Arvind J. Trindade, et al.. (2021). ID: 3522405 DETECTION OF EARLY ESOPHAGEAL NEOPLASIA IN BARRETT’S ESOPHAGUS USING REAL TIME ARTIFICIAL INTELLIGENCE: A MULTICENTER EXTERNAL VIDEO VALIDATION STUDY. Gastrointestinal Endoscopy. 93(6). AB195–AB195. 3 indexed citations
2.
Karnes, William E., et al.. (2021). S216 Automated Cecal Intubation Rate and Withdrawal Time With Artificial Intelligence. A Video Validation Study. The American Journal of Gastroenterology. 116(1). S96–S96. 2 indexed citations
3.
Gottlieb, Klaus, James Requa, William E. Karnes, et al.. (2020). Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks. Gastroenterology. 160(3). 710–719.e2. 92 indexed citations
4.
Hashimoto, Rintaro, James Requa, Tyler Dao, et al.. (2020). Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video). Gastrointestinal Endoscopy. 91(6). 1264–1271.e1. 151 indexed citations
5.
Dao, Tyler, et al.. (2019). 322 Artificial Intelligence-Aided Colonoscopy: A Retrospective Analysis of Effect on Procedure Time. The American Journal of Gastroenterology. 114(1). S189–S190. 1 indexed citations
6.
Hashimoto, Rintaro, Elise Tran, Tyler Dao, et al.. (2019). 641 ARTIFICIAL INTELLIGENCE DYSPLASIA DETECTION (AIDD) ALGORITHM FOR BARRETT’S ESOPHAGUS. Gastrointestinal Endoscopy. 89(6). AB99–AB100. 3 indexed citations
7.
8.
Zachariah, Rony, Jason Samarasena, Tyler Dao, et al.. (2019). Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds. The American Journal of Gastroenterology. 115(1). 138–144. 91 indexed citations
9.
Hashimoto, Rintaro, Nabil El Hage Chehade, Kenneth J. Chang, et al.. (2019). 384 High Accuracy and Effectiveness With Deep Neural Networks and Artificial Intelligence in Detection of Early Esophageal Neoplasia in Barrett's Esophagus. The American Journal of Gastroenterology. 114(1). S224–S225.
10.
Samarasena, Jason, David P. Lee, Tyler Dao, et al.. (2018). Artificial Intelligence Can Accurately Detect Tools Used During Colonoscopy: Another Step Forward Toward Autonomous Report Writing: Presidential Poster Award. The American Journal of Gastroenterology. 113(Supplement). S619–S620. 5 indexed citations
11.
Karnes, William E., Andrew Ninh, Tyler Dao, James Requa, & Jason Samarasena. (2018). Sa1925 REAL-TIME IDENTIFICATION OF ANATOMIC LANDMARKS DURING COLONOSCOPY USING DEEP LEARNING. Gastrointestinal Endoscopy. 87(6). AB252–AB252. 4 indexed citations
12.
Karnes, William E., et al.. (2018). Automated Documentation of Multiple Colonoscopy Quality Measures in Real-Time with Convolutional Neural Networks. The American Journal of Gastroenterology. 113(Supplement). S1532–S1532. 3 indexed citations
13.
Karnes, William E., Andrew Ninh, Tyler Dao, James Requa, & Jason Samarasena. (2018). Sa1940 UNAMBIGUOUS REAL-TIME SCORING OF BOWEL PREPARATION USING ARTIFICIAL INTELLIGENCE. Gastrointestinal Endoscopy. 87(6). AB258–AB258. 7 indexed citations
14.
Requa, James, Tyler Dao, Andrew Ninh, & William E. Karnes. (2018). Can a Convolutional Neural Network Solve the Polyp Size Dilemma? Category Award (Colorectal Cancer Prevention) Presidential Poster Award. The American Journal of Gastroenterology. 113(Supplement). S158–S158. 6 indexed citations
15.
Zachariah, Rony, Andrew Ninh, Tyler Dao, James Requa, & William E. Karnes. (2018). Can Artificial Intelligence (AI) Achieve Real-Time ‘Resect and Discard‘ Thresholds Independently of Device or Operator?. The American Journal of Gastroenterology. 113(Supplement). S129–S129. 2 indexed citations
16.
Dao, Tyler, et al.. (1997). [Intra-observer variability of measurement of posture with three-dimensional digitization].. PubMed. 51(8). 848–53. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Andrew Ninh Breakdown of academic impact, for papers by James Requa Breakdown of academic impact, for papers by Takahide Shinagawa Breakdown of academic impact, for papers by Florian Soudan Breakdown of academic impact, for papers by João Afonso Breakdown of academic impact, for papers by Tiago Ribeiro Breakdown of academic impact, for papers by Ayako Nakada Breakdown of academic impact, for papers by Fanhua Ming Breakdown of academic impact, for papers by Jeroen de Groof Breakdown of academic impact, for papers by Kiki Fockens
Rankless by CCL
2026