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Updated: May 1, 2026

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Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
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Bibliometric Insights Into Thromboelastography Research Using PubMed and VOSviewer.
Vamsi Krishna Uppalapati1, Deb Sanjay Nag1, Rishi Anand1
1Department of Anesthesiology, Tata Main Hospital, Jamshedpur, IND.
Cureus
|January 22, 2025
Summary
Thromboelastography (TEG) research is rapidly expanding beyond surgery into personalized medicine for blood clotting disorders. This bibliometric analysis reveals increasing publications and a trend towards interdisciplinary applications for tailored patient treatments.
Area of Science:
- Bibliometrics
- Medical research analysis
- Coagulation science
Background:
- Thromboelastography (TEG) has transitioned from a surgical aid to a vital tool in diverse medical fields, including personalized medicine for coagulopathies.
- Understanding the evolution and current research landscape of TEG is crucial for advancing clinical practice and future investigations.
Purpose of the Study:
- To conduct a bibliometric analysis of Thromboelastography (TEG) research.
- To identify publication trends, key contributors, and research directions in the field of TEG.
- To provide insights for future TEG research and clinical applications.
Main Methods:
- Bibliometric analysis of publications from the PubMed database up to 2024.
- Utilized VOSviewer software to generate network maps of authors, institutions, and keywords.
- Applied rigorous selection criteria focusing on peer-reviewed articles relevant to TEG's medical and surgical applications.
Main Results:
- A significant increase in TEG publications observed in recent years (461 in 2021, 427 in 2022, 315 in 2023).
- Identified prolific contributors including Moore and Nielsen.
- Highlighted a growing focus on demographic-specific characteristics, aligning with personalized medicine trends.
Conclusions:
- TEG research shows clear expansion into various clinical environments, underscoring its growing relevance.
- Inter-author collaboration is important for advancing TEG research.
- Future TEG research is progressing towards interdisciplinary applications, incorporating genetic profiling and machine learning for enhanced patient-specific treatments.
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