ArticleCurrent medicinal chemistry2025
Research Trends in Proteomic Studies Using Serum from COVID-19 Patients: A Bibliometric Analysis.
Article in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The COVID-19 pandemic significantly impacted the global populace, resulting in a staggering number of deaths across the globe. New approaches and biomarkers to evaluate disease progression are crucial for improving disease management. In this context, serum proteomics has emerged as a promising tool for identifying molecular alterations related to COVID-19. This work carried out a bibliometric evaluation of the current status and trends of studies applying serum proteomics to COVID-19 subjects. The search was performed using Web of Science and Scopus databases, and the results were analyzed in VOSviewer software. The investigation was limited to articles published between January 2020 and February 2023. The analysis found 48 articles, primarily experimental studies. China is the most influential country in this field, followed by the USA. The co-occurrence analysis performed by VOSviewer showed 170 keywords, of which 9 reached the occurrence threshold and were divided into two groups. The most cited words were related to biomarker identification and the use of proteomics for diagnosing and treating COVID-19. The most cited proteins include those classically associated with the immune system (IgG, IgM, interleukins, CXCL, CCL, MCP, CRP) and SAA1, SAA1, ApoA-1, TTR (prealbumin), SerpinA and ITIH4. Other studies have validated the predictive value of these serum markers and have the potential to improve the management of COVID-19 patients. The findings highlighted in this bibliometric study can help the researchers design new projects to enhance our understanding of the complex interplay between SARS-CoV-2 and host immunity.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.