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Record W7116920689 · doi:10.4103/joah.joah_101_25

Global Overview of Von Willebrand Disease Research: A Bibliometric Study

2025· article· en· W7116920689 on OpenAlexaboutno aff
John Barja-Ore, Brandon E Guillen-Calle, Jhony Jesús Chafloque Chavesta, Zaida Zagaceta Guevara, Sandra Muñoz-Huaracán, Guipsy Rebolledo-Aburto

Bibliographic record

VenueJournal of Applied Hematology · 2025
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsScopusErasmus+HaemophiliaCentralityCitation impactVon Willebrand diseaseBibliometricsChina

Abstract

fetched live from OpenAlex

INTRODUCTION: Von Willebrand disease (VWD) is a hereditary bleeding disorder with a high global prevalence. The aim of this study is to analyze the global landscape of scientific production on VWD. MATERIALS AND METHODS: A bibliometric study was conducted considering publications indexed in Scopus between 2020 and 2024. The search was performed in July 2025, identifying 951 documents, of which 588 original articles were included in the study. Productivity, impact, and co-authorship network indicators were evaluated using SciVal, Bibliometrix, and VOSviewer. RESULTS: The United States and the Netherlands accounted for the highest scientific output, with Erasmus University Rotterdam standing out as the leading institution. Among the most productive authors were Leebeek, Cnossen, and Eikenboom, while O’Donnell and Peyvandi showed the highest relative impact and h-index, respectively. The journals hemophilia and blood ranked as the main means of dissemination, with high normalized impact and citation metrics. The subcategory hematology was the most published. Three co-authorship clusters were identified: United States-Canada–Ireland, United Kingdom, and Netherlands–France–Italy. CONCLUSIONS: Research on VWD is led by the United States and, notably, by the Netherlands, which differs from other hematological fields where China often occupies dominant positions. The centrality of Q1 journals and multinodal networks reveal a dynamic field with potential for expansion into emerging countries. These findings can guide future collaborative agendas and optimize the visibility of research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.019
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.427
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied HematologySame topicPlatelet Disorders and TreatmentsCategoryBibliometricsFrench-language works237,207