Research frontiers of electroporation-based applications in cancer treatment: a bibliometric analysis
Objectives: Electroporation, the breakdown of the biomembrane induced by external electric fields, has increasingly become a research hotspot for its promising related methods in various kinds of cancers. Content: In this article, we utilized CiteSpace 6.1.R2 to perform a bibliometric analysis on the research foundation and frontier of electroporation-based applications in cancer therapy. A total of 3,966 bibliographic records were retrieved from the Web of Science Core Collection for the bibliometric analysis. Sersa G. and Mir L. M. are the most indispensable researchers in this field, and the University of Ljubljana of Slovenia is a prominent institution. By analyzing references and keywords, we found that, with a lower recurrence rate, fewer severe adverse events, and a higher success rate, irreversible electroporation, gene electrotransfer, and electrochemotherapy are the three main research directions that may influence the future treatment protocol of cancers. Summary: This article visualized relevant data to synthesize scientific research on electroporation-based cancer therapy, providing helpful suggestions for further investigations on electroporation. Outlook: Although electroporation-based technologies have been proven as promising tools for cancer treatment, its radical mechanism is still opaque and their commercialization and universalization need further efforts from peers.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Research frontiers of electroporation-based applications in cancer treatment: a bibliometric analysis ; volume:68 ; number:5 ; year:2023 ; pages:445-456 ; extent:12
Biomedical engineering ; 68, Heft 5 (2023), 445-456 (gesamt 12)
- Creator
-
Qian, Kun
Zhong, Zilong
- DOI
-
10.1515/bmt-2023-0113
- URN
-
urn:nbn:de:101:1-2023100514230176834118
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Qian, Kun
- Zhong, Zilong
Other Objects (12)
The optimal regularization and its application in extreme learning machine for regression analysis and multi-class classification
On the determination of proper regularization parameter : α-weighted BLE via A-optimal design and its comparison with the results derived by numerical methods and ridge regression
Porous Noble Metal‐Based Nanomaterials in Biomedical Applications
Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics
Graph matching using conformal module
Nanomaterial‐Based Electrochemical Sensors: Mechanism, Preparation, and Application in Biomedicine
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
LBS user location privacy protection scheme based on trajectory similarity
Context modelling for IT security in selected application scenarios
Facile approach to prepare multi-walled carbon nanotubes/graphene nanoplatelets hybrid materials
Automatic General Audio Signal Classification
The optimal regularization and its application in extreme learning machine for regression analysis and multi-class classification
On the determination of proper regularization parameter : α-weighted BLE via A-optimal design and its comparison with the results derived by numerical methods and ridge regression
Porous Noble Metal‐Based Nanomaterials in Biomedical Applications
Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics
Graph matching using conformal module
Nanomaterial‐Based Electrochemical Sensors: Mechanism, Preparation, and Application in Biomedicine
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
LBS user location privacy protection scheme based on trajectory similarity
Context modelling for IT security in selected application scenarios
Facile approach to prepare multi-walled carbon nanotubes/graphene nanoplatelets hybrid materials
Automatic General Audio Signal Classification
The optimal regularization and its application in extreme learning machine for regression analysis and multi-class classification
On the determination of proper regularization parameter : α-weighted BLE via A-optimal design and its comparison with the results derived by numerical methods and ridge regression
Porous Noble Metal‐Based Nanomaterials in Biomedical Applications
Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics
Graph matching using conformal module
Nanomaterial‐Based Electrochemical Sensors: Mechanism, Preparation, and Application in Biomedicine
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis
LBS user location privacy protection scheme based on trajectory similarity
Context modelling for IT security in selected application scenarios
Facile approach to prepare multi-walled carbon nanotubes/graphene nanoplatelets hybrid materials