Impact Factor
3.62
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
3.57
771 total citations
h5-index
35
h5 depth signal
Cited share
75.4%
172 of 228
Total citations
771
Citation footprint
Metric signal
3.90
External metric anchor
Self-citation
16.3%
126 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
300
Italy
278
Australia
218
United Kingdom
121
Canada
95
Citing Fields of Research
Hematology
1,023
Cardiology
203
Clinical Laboratory Science
151
Oncology
56
Immunology
53
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
4,132
Articles tracked across the journal lifetime
Indexed publication set
228
172 cited publications
Last 12 months
128
10.7 publications/month
Open access share
18.8%
24 OA publications in the last year
Leading citing country
United States
300 citing publications
Leading citing field
Hematology
1,023 citing publications
Latest tracked publication
8 October 2026
10 recent records available
Coverage & Indexing History
v2n1,Jul. 1975-
v2n1,Jul. 1975-
Active Coverage
Research Focus & Classification
Indexed Subjects
Hematology
Broad Categories
Hematology
Vascular Diseases
MeSH Descriptors
Hemostasis
Thrombosis
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1055/a-2971-6729
Open DOI
A Comparative In Vitro Study of the Anticoagulant Effects of Branded versus Biosimilar Preparations of Enoxaparin
Several biosimilars of the low-molecular-weight heparin enoxaparin are available on the market, but no studies have compared the effects of branded versus biosimilar enoxaparin on coagulation assays. The aim of this study was to compare ...
02
DOI 10.1055/a-2967-9335
Open DOI
What Stops Menstrual Bleeding? Hemostatic Mechanisms in the Menstruating Endometrium
Menstrual bleeding is one of the most common physiological bleeding events in humans, yet the mechanisms that terminate bleeding remain poorly defined. Current models of menstruation focus primarily on progesterone withdrawal, inflammati...
03
DOI 10.1055/a-2954-5494
Open DOI
Age-related Global Coagulation Changes: From Neonate to Old Age
Global coagulation assays provide a comprehensive assessment of clotting and fibrinolytic dynamics and have shown potential in predicting bleeding and thrombotic risk. Successful clinical implementation, however, requires understanding o...
04
DOI 10.1055/a-2949-4349
Open DOI
Evaluation of Platelet Contribution to Clot Strength in Neonates with Perinatal Hypoxia Using Rotational Thromboelastometry
The hemostatic derangement of neonates with perinatal hypoxia is of multifactorial origin and may be attributed to ischemic tissue injury, acute blood loss, or disseminated intravascular coagulation. However, the pathophysiological mecha...
05
DOI 10.1055/a-2949-3643
Open DOI
Discordance between ABO-Related VWF Reduction and Global Hemostasis in Healthy Greeks: Implications for Assay Selection and the Disease Modifier Role of Blood Group O
ABO blood group influences plasma levels of von Willebrand factor (VWF) and factor VIII (FVIII), with non-O individuals having higher levels and increased thrombotic risk. The relationship between ABO group and global hemostasis has not ...
06
DOI 10.1055/a-2954-8867
Open DOI
Machine Learning and Deep Learning in Deep Vein Thrombosis: A Narrative Review of Clinical Applications for Diagnosis, Risk Prediction, and Outcome Management
Machine learning (ML) and deep learning (DL) are increasingly applied across the clinical spectrum of deep vein thrombosis (DVT), from AI-guided ultrasound diagnosis to perioperative and inpatient risk prediction, but methodological prog...
07
DOI 10.1055/a-2882-1053
Open DOI
Hemostasis in Exercise and the Athlete Part II, Plus An Additional Mini-Compilation
08
DOI 10.1055/a-2952-2375
Open DOI
Lipoprotein(a) and All-Cause Mortality: Paradox or Arithmetic?
09
10
DOI 10.1055/a-2946-5165
Open DOI
Advances from Traditional Clinical Decision Support Tools to Machine Learning Applications in Primary Prevention of Thromboembolic Disorders
Primary thromboprophylaxis for arterial and venous thromboembolism (VTE) still presents many challenges, as patient- and disease-specific risk factors complicate risk assessment and necessitate tailored strategies. To tackle this, multip...
Bibliographical & Catalog Notes
Also issued online.
Vol. 20, no. 3 (1994)19950516 Notice not published Printed on acid-free paper