Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Coagulopathy and Thrombosis as a Result of Severe COVID-19 Infection: A Microvascular Focus

Thrombosis and Haemostasis(2020)10.1055/s-0040-1715841Source: DataRank Database

Coagulopathy and Thrombosis as a Result of Severe COVID-19 Infection: A Microvascular Focus is a research paper published in Thrombosis and Haemostasis (2020). On theSindex it has a DataRank of 0. It has been cited 139 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access139 citations

Download PDF

Cite:

Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 2.07)OA: bronzeTopics (37)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (8)

Aikaterini Alexaki ORCID,Ryan Hunt ORCID,Tal Schiller ORCID,Michael DiCuccio ORCID,Paul W. Buehler ORCID

Live enrichment

PubMed:32838472 OpenAlex:https://openalex.org/W3042560130

FWCI

2.07

Citation Percentile

0.9%

Citation Trend

2012

2020

2021

2022

2023

2024

2025

2026

bronze

journalhttp://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1715841.pdf

publisherhttp://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1715841.pdf

journalhttps://doi.org/10.1055/s-0040-1715841

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32838472

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7869056

Fields of Study

COVID-19 Clinical Research StudiesVenous Thromboembolism Diagnosis and ManagementLong-Term Effects of COVID-19ADAMTS13 ProteinAnimalsBlood CoagulationCOVID-19Disseminated Intravascular CoagulationHumansMicrovesselsSARS-CoV-2Thrombosisvon Willebrand Factor

MeSH Terms

ADAMTS13 ProteinCOVID-19SARS-CoV-2AnimalsBlood CoagulationDisseminated Intravascular CoagulationHumansThrombosisvon Willebrand FactorMicrovessels

Keywords

CoagulopathyVon Willebrand factorMedicineHemostasisImmunologyADAMTS13ThrombosisDisseminated intravascular coagulationADAMTSPlateletPathologyInternal medicineMetalloproteinaseThrombospondin

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 18 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569450.v1figshare

Additional file 27 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569477.v1figshare

Additional file 26 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569474.v1figshare

Additional file 2 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569402figshare

Additional file 19 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569453.v1figshare

Additional file 13 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569435.v1figshare

Additional file 19 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569453figshare

Additional file 15 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569441figshare

Additional file 29 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569486.v1figshare

Additional file 14 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569438.v1figshare

Additional file 12 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569432figshare

Additional file 13 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569435figshare

Additional file 9 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569423.v1figshare

Additional file 6 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569414figshare

Additional file 5 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569411figshare

Additional file 25 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569471figshare

Additional file 26 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569474figshare

Additional file 21 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569459.v1figshare

Additional file 12 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569432.v1figshare

Additional file 8 of Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies

10.6084/m9.figshare.26569420.v1figshare

Related Papers (10)

Factors associated with COVID-19-related death using OpenSAFELY

N/A

1.3DataRank · unranked

Nature(2020)

co-cited

10.1038/s41586-020-2521-4

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

N/A

1.6DataRank · unranked

The Lancet(2020)

co-cited

10.1016/s0140-6736(20)30183-5

Dexamethasone in Hospitalized Patients with Covid-19

N/A

1.4DataRank · unranked

New England Journal of Medicine(2021)

co-cited

10.1056/nejmoa2021436

COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-Up

N/A

1.2DataRank · unranked

Journal of the American College of Cardiology(2020)

co-cited

10.1016/j.jacc.2020.04.031

An inflammatory cytokine signature predicts COVID-19 severity and survival

N/A

14.0DataRank · unranked

Nature Medicine(2020)

co-cited

10.1038/s41591-020-1051-9

Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans

N/A

12.3DataRank · unranked

Science(2020)

co-cited

10.1126/science.abc6261

Prothrombotic autoantibodies in serum from patients hospitalized with COVID-19

N/A

0.971DataRank · unranked

Science Translational Medicine(2020)

co-cited

10.1126/scitranslmed.abd3876

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19

N/A

0.926DataRank · unranked

Journal of the American College of Cardiology(2020)

co-cited

10.1016/j.jacc.2020.08.041

An immune-based biomarker signature is associated with mortality in COVID-19 patients

N/A

0.888DataRank · unranked

JCI Insight(2020)

co-cited

10.1172/jci.insight.144455

Heparin as a therapy for COVID-19: current evidence and future possibilities

N/A

0.804DataRank · unranked

American Journal of Physiology-Lung Cellular and Molecular Physiology(2020)

co-cited

10.1152/ajplung.00199.2020