Evidence mapPaperPMID 40698085Full record

ArticleFrontiers in immunology2025

Global trends and frontiers in iNKT cells: a bibliometric and visualized analysis.

Dan Zhang, Jun Lu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dan ZhangDepartment of Medical Oncology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.
Jun LuDepartment of Medical Oncology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Invariant natural killer T (iNKT) cells are an unconventional lymphocyte subset that has garnered increasing attention due to their shared features with both natural killer cells and conventional T cells, as well as their unique dual immunological functions. In this study, we conducted a comprehensive bibliometric analysis to trace the evolution of research in the iNKT cell field, identify emerging trends, and highlight current research hotspots and frontier directions. Methods: We performed a literature search in the Web of Science Core Collection database to retrieve all publications related to iNKT cells published to December 31, 2024. We then used the visualization tools CiteSpace and VOSviewer to conduct a bibliometric analysis of the retrieved data. Results: We identified 2,579 relevant publications authored by 12,108 individuals from 2,218 institutions across 70 countries. These publications appeared in 540 journals and collectively cited 60,342 references from 4,322 different journals. The publication volume in the iNKT cell field has significantly increased since 2008, peaking at 151 articles in 2018. This surge highlights the sharp rise of research interest in this area. The United States led in publication output within this field. Among the journals, the Journal of Immunology was the most prolific and also ranked first in total citations. Besra was the most published author, while Bendelac's research was highly influential. Research on iNKT cells is undergoing a paradigm shift from mechanistic exploration to clinical application. Conclusions: Our bibliometric analysis delineates the thematic evolution within the iNKT cell research landscape. Future investigations will converge on several pivotal frontiers, including improving the tumor microenvironment, reprogramming the functional activity of iNKT cells within tumors, and advancing engineered immunotherapies. Additionally, strategies to engineer iNKT cells for more targeted and effective therapeutic interventions are likely to gain momentum, as researchers aim to overcome the current limitations in the field and transition from basic mechanistic studies to more impactful clinical applications.

Indexed as

BibliometricsNatural Killer T-CellsAnimalsHumansantigenbibliometricimmune responseimmunotherapyinvariant natural killer T cells

Identifiers

PMID40698085
PMCPMC12279779

What Socratic holds

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Registered trials

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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 Socratic graph.