🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Scott L. Diamond

University City Science Center

ORCID: 0000-0002-9791-2238

Also affiliated with University of Pennsylvania

MedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 3%percentile

1.2Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission

PLoS ONE(2020)10.1371/journal.pone.0242166

Top 17%

1.2DataRank

Top 17%26 citations

Carrie A. Sims, Talid Sinno, Scott L. Diamond, Evan J. Tsiklidis

Papers

Driven by 18 papers — median percentile 83. Top paper: “Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission”.

Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission

PLoS ONE(2020)10.1371/journal.pone.0242166

Top 17%

1.2DataRank

Top 17%26 citations

Carrie A. Sims, Talid Sinno, Scott L. Diamond, Evan J. Tsiklidis

D-Dimer and Fibrin Degradation Products Impair Platelet Signaling: Plasma D-Dimer Is a Predictor and Mediator of Platelet Dysfunction During Trauma

The Journal of Applied Laboratory Medicine(2020)10.1093/jalm/jfaa047

N/A

0DataRank · unranked

18 citations

Antonio Dávila, Carrie A. Sims, Scott L. Diamond, Christopher C. Verni

Src family kinases inhibition by dasatinib blocks initial and subsequent platelet deposition on collagen under flow, but lacks efficacy with thrombin generation

Thrombosis Research(2020)10.1016/j.thromres.2020.05.012

N/A

0DataRank · unranked

11 citations

Scott L. Diamond, Yiyuan Zhang

Scalable manufacture of a disposable, storage-stable eight-channel microfluidic device for rapid testing of platelet, coagulation, and drug function under whole blood flow

Biomicrofluidics(2020)10.1063/5.0023312

N/A

0DataRank · unranked

10 citations

Scott L. Diamond, Jason M. Rossi

Intrathrombus Fibrin Attenuates Spatial Sorting of Phosphatidylserine Exposing Platelets during Clotting Under Flow

Thrombosis and Haemostasis(2020)10.1055/s-0040-1715648

N/A

0DataRank · unranked

6 citations

Scott L. Diamond, Kevin Timothy Trigani

Thermal shift assay to probe melting of thrombin, fibrinogen, fibrin monomer, and fibrin: Gly-Pro-Arg-Pro induces a fibrin monomer-like state in fibrinogen

Biochimica et Biophysica Acta (BBA) - General Subjects(2020)10.1016/j.bbagen.2020.129805

N/A

0DataRank · unranked

5 citations

Scott L. Diamond, Jennifer Crossen

Point of care whole blood microfluidics for detecting and managing thrombotic and bleeding risks

Lab on a Chip(2021)10.1039/d1lc00465d

N/A

0DataRank · unranked

23 citations

Jason M. Rossi, Scott L. Diamond

Thrombosis and hemodynamics: External and intrathrombus gradients

Current Opinion in Biomedical Engineering(2021)10.1016/j.cobme.2021.100316

N/A

0DataRank · unranked

10 citations

Kaushik N. Shankar, Talid Sinno, Scott L. Diamond, Noelia Grande Gutiérrez

Sensitivity analysis of a reduced model of thrombosis under flow: Roles of Factor IX, Factor XI, and γ‘-Fibrin

PLoS ONE(2021)10.1371/journal.pone.0260366

N/A

0DataRank · unranked

4 citations

Scott L. Diamond, Jason Chen

A three-dimensional multiscale model for the prediction of thrombus growth under flow with single-platelet resolution

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009850

N/A

0DataRank · unranked

31 citations

Yiyuan Zhang, Talid Sinno, Scott L. Diamond, Kaushik N. Shankar

Predicting risk for trauma patients using static and dynamic information from the MIMIC III database

PLoS ONE(2022)10.1371/journal.pone.0262523

N/A

0DataRank · unranked

12 citations

Talid Sinno, Scott L. Diamond, Evan J. Tsiklidis

Anti-GPVI Fab reveals distinct roles for GPVI signaling in the first platelet layer and subsequent layers during microfluidic clotting on collagen with or without tissue factor

Thrombosis Research(2022)10.1016/j.thromres.2022.08.018

N/A

0DataRank · unranked

11 citations

Kevin Timothy Trigani, Kaushik N. Shankar, Jennifer Crossen, Yue Liu, Talid Sinno +2 more

ADP and Thromboxane Inhibitors Both Reduce Global Contraction of Clot Length, While Thromboxane Inhibition Attenuates Internal Aggregate Contraction

TH Open(2022)10.1055/a-1832-9293

N/A

0DataRank · unranked

2 citations

Michael DeCortin, Scott L. Diamond, Kevin Timothy Trigani

Development of a parallel multiscale 3D model for thrombus growth under flow

Frontiers in Physics(2023)10.3389/fphy.2023.1256462

N/A

0DataRank · unranked

5 citations

Scott L. Diamond, Talid Sinno, Kaushik N. Shankar

Investigating thrombin-loaded fibrin in whole blood clot microfluidic assay via fluorogenic peptide

Biophysical Journal(2023)10.1016/j.bpj.2023.01.008

N/A

0DataRank · unranked

4 citations

Kaushik N. Shankar, Scott L. Diamond, Jennifer Crossen

Activation of Most Toll-Like Receptors in Whole Human Blood Attenuates Platelet Deposition on Collagen under Flow

Journal of Immunology Research(2023)10.1155/2023/1884439

N/A

0DataRank · unranked

3 citations

Scott L. Diamond, Yue Liu

Core and shell platelets of a thrombus: A new microfluidic assay to study mechanics and biochemistry

Research and Practice in Thrombosis and Haemostasis(2020)10.1002/rth2.12405

N/A

0DataRank · unranked

20 citations

Lawrence F. Brass, Scott L. Diamond, Michael DeCortin

Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow

PLoS Computational Biology(2025)10.1371/journal.pcbi.1013085

N/A

0DataRank · unranked

2 citations

Talid Sinno, Scott L. Diamond, Kaushik N. Shankar