ReviewNaunyn-Schmiedeberg's archives of pharmacology2021
V-domain Ig suppressor of T cell activation (VISTA) inhibition is a new approach to cancer therapy: a Bibliometric study.
Review in Naunyn-Schmiedeberg's archives of pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 8 citations in OpenAlex.
- Analysis of bibliometric research featured in Naunyn-Schmiedeberg's Archives of Pharmacology.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Novel therapeutic strategies for non-small cell lung cancer: Combination therapies with immune checkpoint inhibitors (Review).Oncology letters · 2025Review
- The VISTA/VSIG3/PSGL-1 axis: crosstalk between immune effector cells and cancer cells in invasive ductal breast carcinoma.Cancer immunology, immunotherapy : CII · 2024Article
- IGSF11 and VISTA: a pair of promising immune checkpoints in tumor immunotherapy.Biomarker research · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
V-domain Ig suppressor of T cell activation (VISTA) is a transmembrane protein that plays a crucial role in the regulation of antitumor immunity. Therapeutic intervention that inhibits the VISTA pathway constitutes a new approach in the treatment of cancer. The aim of the present study was to provide a bibliometric literature review of VISTA research in the field of cancer. Published articles on the topic were retrieved from the Web of Science Core Collection Database of Hassan II University from the beginning of the database to November 14, 2019. The articles were analyzed and a lot of information was available on the Web of Science, such as the number of citations, the names of the authors, country, publication year, Web of Science categories, and journal. A total of 76 papers (research and review articles) were retrieved from the Web of Science Core Collection Database to introduce VISTA research in cancer topic. All of the articles were published in English during the period between 2011 and 2019; the annual publications number has increased from 1 in 2011 to 22 in 2019. Cancer immunology immunotherapy journal, Cancer immunology research journal, and Cancer research journal, each one has published 3 articles (3.9% of the total publications), the impact factors of the journals ranged from 2.34 to 10.19. The author who has published high number of articles was Noelle RJ with 11 articles; according to the keyword co-occurrence, VISTA was the most frequent keyword with a frequency of 42.1%, followed by immune (36.8%). This is the first work that treats the application of bibliometric methods in VISTA research in the oncology field and represents an important bibliographic source for future studies on the role of VISTA in cancer and immunotherapy of cancer.
Indexed as
Identifiers
What OpenQuestion holds
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.