Thinh Ngoc Tran

18 papers receiving 3.5k citations

Thinh Ngoc Tran's Hit Papers

Automated real-world data integration improves cancer outcome prediction 2024 · 92 citations
920+2+4Years since publication50010001.5k2.0k

Peers

Thinh Ngoc Tran
Comparison fields: 5 of 127
  • Otorhinolaryngology 1.8k
  • Immunology and Allergy 588
  • Sensory Systems 133
  • Physiology 405
  • Surgery 578
Replace Norihiko Narita with:
Norihiko Narita Japan
Bing Yan China
Ming‐Yuan Chen China
Stephen Lawrence Shiao United States
Amish H. Doshi United States
Tibor Krenács Hungary
Kenneth D. Somers United States
Ketty Peris Italy
Chong Wang China
Yun‐Shien Lee Taiwan
Thinh Ngoc Tran relative to Norihiko Narita Japan Norihiko Narita's profile →
Citations per field
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Norihiko Narita · 1×
Citations per year

Countries citing papers authored by Thinh Ngoc Tran

Since Specialization
Citations

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

Fields of papers citing papers by Thinh Ngoc Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thinh Ngoc Tran. 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 Thinh Ngoc Tran. The network helps show where Thinh Ngoc Tran may publish in the future.

Co-authors

The 25 scholars most cited alongside Thinh Ngoc Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thinh Ngoc Tran Line = papers co-authored together Thinh Ngoc Tran links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
European Position Paper on Rhinosinusitis and Nasal Polyps 2020
Hit paper breakdown →
20202405
2
Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal
Hit paper breakdown →
2023498
3
A Race-Track Trapped-Ion Quantum Processor
Hit paper breakdown →
2023202
4 2021124
5
Automated real-world data integration improves cancer outcome prediction
Hit paper breakdown →
202492
6 202272
7 202258
8 202257
9 202056
10 202320
11 20219
12 20239
13 20248
14 20047
15 20074
16 20133
17 19951
18 20251

About Thinh Ngoc Tran

Thinh Ngoc Tran is a scholar working on Otorhinolaryngology, Cancer Research, Artificial Intelligence, Molecular Biology and Immunology and Allergy, having authored 18 papers that have together received 3.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advancements in Photolithography Techniques (2 papers), Sinusitis and nasal conditions (2 papers), Nasal Surgery and Airway Studies (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Otorhinolaryngology (1.8k citations), Immunology and Allergy (588 citations), Sensory Systems (133 citations), Physiology (405 citations) and Surgery (578 citations). Thinh Ngoc Tran has collaborated with scholars based in United States, Canada and Vietnam. Frequent co-authors include Gary Bader, Shunsuke Funakoshi, Donghe Yang, Michael A. Laflamme, Gordon M. Keller, Ian M. Fernandes, Amine Mazine, Stephanie I. Protze, Sara Santana Nunes and Benjamin J. Burnett. Their work appears in journals such as Nature Communications, Nature, Cancer Discovery, Cell stem cell and Cancer Research.

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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