Knowledge Mapping and Global Trends of Drug Hypersensitivity from 2013 to 2023: A Bibliometric Analysis

Overview

Journal Immun Inflamm Dis

Specialties Allergy & Immunology
Infectious Diseases

Date 2024 Apr 17

PMID 38629759

Authors

Li Luo

Niannian Chen

Zhanpeng Li

Chunmei Zhao

Yiming Dong

Likai Wang

Xiaoqian Li

Wenchao Zhou

Yingna Li

Cairong Gao

Xiangjie Guo

Affiliations

Soon will be listed here.

Abstract

Background: Drug hypersensitivity is a major global public health issue with a significant increase in prevalence in populations. Here, we provide a deep insight into the frontier hotspot and future direction in the field of drug hypersensitivity.

Methods: A knowledge map is portrayed based on publications related to drug hypersensitivity from Web of Science Core Collection using CiteSpace. Co-occurrence relationships of countries, institutes, authors, journals, references, and keywords are constructed. According to the co-occurrence relationships, hotspots and future trends are overviewed.

Results: The United States ranked first in the world and China with the second highest publications was the only developing country. Torres, Mayorga, and Blanca were highly productive authors. Harvard University was the institution with the most research publications. Keywords co-occurrence analysis suggested applications in emerging causes, potential mechanisms, and clinical diagnosis as the research hotspots and development frontiers.

Conclusion: Research on drug hypersensitivity is in a rapid development stage and an emerging trend in reports of anaphylaxis to polyethylene glycols is identified. Developing algorithms for understanding the standardization process of culprit drugs, clinical manifestations, and diagnostic methods will be the focus of future direction. In addition, a better understanding of the mechanisms to culprit drugs with immunological precise phenotypic definitions and high-throughput platforms is needed.

Citing Articles

Knowledge mapping and global trends of drug hypersensitivity from 2013 to 2023: A bibliometric analysis.

Luo L, Chen N, Li Z, Zhao C, Dong Y, Wang L Immun Inflamm Dis. 2024; 12(4):e1245.

PMID: 38629759 PMC: 11022627. DOI: 10.1002/iid3.1245.

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