Andrew Ninh

611 total citations
23 papers, 401 citations indexed

About

Andrew Ninh is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Ninh has authored 23 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Ninh's work include Colorectal Cancer Screening and Detection (14 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Gastric Cancer Management and Outcomes (6 papers). Andrew Ninh is often cited by papers focused on Colorectal Cancer Screening and Detection (14 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Gastric Cancer Management and Outcomes (6 papers). Andrew Ninh collaborates with scholars based in United States. Andrew Ninh's co-authors include James Requa, Tyler Dao, Jason Samarasena, William E. Karnes, Kenneth J. Chang, William E. Karnes, Elise Tran, Rintaro Hashimoto, 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

Andrew Ninh

21 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Ninh United States 7 251 195 142 129 79 23 401
James Requa United States 7 276 1.1× 208 1.1× 149 1.0× 137 1.1× 81 1.0× 22 422
Tyler Dao United States 7 235 0.9× 184 0.9× 148 1.0× 122 0.9× 70 0.9× 16 386
Florian Soudan Canada 4 361 1.4× 205 1.1× 96 0.7× 212 1.6× 124 1.6× 5 473
Takahide Shinagawa Japan 9 225 0.9× 168 0.9× 162 1.1× 82 0.6× 31 0.4× 33 415
João Afonso Portugal 14 277 1.1× 197 1.0× 212 1.5× 98 0.8× 56 0.7× 55 479
Tiago Ribeiro Portugal 15 285 1.1× 208 1.1× 219 1.5× 97 0.8× 55 0.7× 57 506
Ayako Nakada Japan 9 308 1.2× 238 1.2× 168 1.2× 83 0.6× 43 0.5× 13 530
Fanhua Ming China 5 157 0.6× 131 0.7× 95 0.7× 100 0.8× 63 0.8× 7 351
Maarten R. Struyvenberg Netherlands 11 298 1.2× 473 2.4× 469 3.3× 175 1.4× 66 0.8× 30 727
Kenichi Takeda Japan 9 433 1.7× 252 1.3× 155 1.1× 235 1.8× 136 1.7× 21 575

Countries citing papers authored by Andrew Ninh

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Ninh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Ninh

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Ninh. A scholar is included among the top collaborators of Andrew Ninh 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 Andrew Ninh. Andrew Ninh 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.
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.
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
6.
7.
Zachariah, Rony, Andrew Ninh, & William E. Karnes. (2019). Artificial intelligence for colon polyp detection: Why should we embrace this?. Techniques and Innovations in Gastrointestinal Endoscopy. 22(2). 48–51. 2 indexed citations
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.
Tripathi, Priyam, Gregor Urban, Talal Alkayali, et al.. (2018). 133 - Computer-Assisted Polyp Detection Identifies all Polyps Found by Expert Colonoscopists – And then Some. Gastroenterology. 154(6). S–36. 3 indexed citations
14.
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
15.
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
16.
Abadir, Alexander, James Requa, Andrew Ninh, William E. Karnes, & Mark Mattar. (2018). Unambiguous Real-Time Endoscopic Scoring of Ulcerative Colitis Using a Convolutional Neural Network. The American Journal of Gastroenterology. 113(Supplement). S349–S349. 3 indexed citations
17.
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
18.
Karnes, William E., Talal Alkayali, Mohit Mittal, et al.. (2017). Su1642 Automated Polyp Detection Using Deep Learning: Leveling the Field. Gastrointestinal Endoscopy. 85(5). AB376–AB377. 9 indexed citations
19.
Ninh, Andrew. (2014). DocBot: A novel clinical decision support algorithm. 31. 6290–6293. 4 indexed citations
20.
Ninh, Andrew. (2013). Two Discrete Stochastic Cellular Automata Models of Cancer Stem Cell Proliferation. International Journal of Bioscience Biochemistry and Bioinformatics. 479–482.

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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