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

Jamie S. Hirsch

Northwell Health

ORCID: 0000-0001-9571-1275

Also affiliated with Hofstra University, Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Premier Health Care

Medicine

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 1%percentile
18.0Author DataRank

Indexed papers

2in 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 2 indexed papers 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 →

Top data-sharing exemplar

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

Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area

JAMA(2020)10.1001/jama.2020.6775
Top 1%
15.3DataRank
Top 1%9899 citations

Jamie S. Hirsch, Mangala Narasimhan, James M. Crawford, Thomas McGinn, Karina W. Davidson +27 more

Papers

Driven by 21 papers — median percentile 96. Top paper: “Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area”.

Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area

JAMA(2020)10.1001/jama.2020.6775
Top 1%
15.3DataRank
Top 1%9899 citations

Jamie S. Hirsch, Mangala Narasimhan, James M. Crawford, Thomas McGinn, Karina W. Davidson +27 more

Prevalence and Predictors of Venous Thromboembolism or Mortality in Hospitalized COVID-19 Patients

Thrombosis and Haemostasis(2021)10.1055/a-1366-9656
Top 8%
2.7DataRank
Top 8%73 citations

Eugenia Gianos, Mathew A. Barish, Saurav Chatterjee, Nina Kohn, Martin Lesser +8 more

Machine learning to assist clinical decision-making during the COVID-19 pandemic

Bioelectronic Medicine(2020)10.1186/s42234-020-00050-8
N/A
0.701DataRank · unranked
106 citations

Douglas P. Barnaby, Kevin Coppa, Alexander Makhnevich, Eun Ji Kim, Saurav Chatterjee +15 more

Prevalence and outcomes of hyponatremia and hypernatremia in patients hospitalized with COVID-19

Nephrology Dialysis Transplantation(2021)10.1093/ndt/gfab067
N/A
0.621DataRank · unranked
62 citations

Nupur N. Uppal, Purva Sharma, Yuriy Khanin, Hitesh H. Shah, Deepa A. Malieckal +30 more

External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19

Journal of Thrombosis and Thrombolysis(2021)10.1007/s11239-021-02504-5
N/A
0.520DataRank · unranked
31 citations

Stephanie K. Lin, Nina Kohn, Michael Qiu, Stuart L. Cohen, Matthew A. Barish +12 more

In-Hospital 30-Day Survival Among Young Adults With Coronavirus Disease 2019: A Cohort Study

Open Forum Infectious Diseases(2021)10.1093/ofid/ofab233
N/A
0.312DataRank · unranked
7 citations

Jordan Gitlin, Zachary Kozel, Sera Levy, Husneara Rahman, Jamie S. Hirsch +3 more

Effect of mannitol on cisplatin-associated acute kidney injury: a target trial emulation

Nephrology Dialysis Transplantation(2024)10.1093/ndt/gfae233
N/A
0.208DataRank · unranked
3 citations

Ilya Glezerman, Jamie S. Hirsch, Sophia L. Wells, Kevin L. Chen, Robert H. Seitter +9 more

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation (Preprint)

(2020)10.2196/preprints.24246
N/A
0DataRank · unranked
1 citations

Max Brenner, Ping Wang, Thomas McGinn, Jamie S. Hirsch, Douglas P. Barnaby +2 more

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation

Journal of Medical Internet Research(2021)10.2196/24246
N/A
0DataRank · unranked
120 citations

Max Brenner, Ping Wang, Thomas McGinn, Jamie S. Hirsch, Douglas P. Barnaby +2 more

An early experience on the effect of solid organ transplant status on hospitalized COVID-19 patients

American Journal of Transplantation(2020)10.1111/ajt.16460
N/A
0DataRank · unranked
46 citations

Nicholas Jandovitz, Jamie S. Hirsch, Mersema Abate, Sanjaya K. Satapathy, Nitzan Roth +30 more

COVID-19 in kidney transplant recipients

American Journal of Transplantation(2020)10.1111/ajt.15967
N/A
0DataRank · unranked
263 citations

Nicholas Jandovitz, Jamie S. Hirsch, Gayatri Nair, Mersema Abate, Madhu Bhaskaran +11 more

Intubated COVID-19 predictive (ICOP) score for early mortality after intubation in patients with COVID-19

Scientific Reports(2021)10.1038/s41598-021-00591-1
N/A
0DataRank · unranked
23 citations

Rehana Rasul, Cristina Sison, Daniel Jafari, Muhammad Shoaib, Koichiro Shinozaki +20 more

Risk factors and outcomes for acute-on-chronic liver failure in COVID-19: a large multi-center observational cohort study

Hepatology International(2021)10.1007/s12072-021-10181-y
N/A
0DataRank · unranked
18 citations

Nitzan Roth, Charlotte Kvasnovsky, Jamie S. Hirsch, Arvind J. Trindade, Ernesto P. Molmenti +5 more

Examination of patient characteristics and hydroxychloroquine use based on the US Food and Drug Administration’s recommendation: a cross-sectional analysis in New York

BMJ Open(2021)10.1136/bmjopen-2020-042965
N/A
0DataRank · unranked
6 citations

Kevin Coppa, Jamie S. Hirsch, Sara Abrahams, Jennifer Johnson, Martin Lesser +3 more

Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York

International Journal of Medical Informatics(2023)10.1016/j.ijmedinf.2023.105286
N/A
0DataRank · unranked
3 citations

Todd Levy, Ioannis Koulas, Kyriaki Founta, Kevin Coppa, Jamie S. Hirsch +4 more

Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study

BMJ(2024)10.1136/bmj-2023-077169
N/A
0DataRank · unranked
35 citations

Ilya Glezerman, Jamie S. Hirsch, Kevin L. Chen, Nishant Devaraj, Sophia L. Wells +21 more

Development and validation of a clinical wearable deep learning based continuous inhospital deterioration prediction model

Nature Communications(2025)10.1038/s41467-025-65219-8
N/A
0DataRank · unranked
7 citations

Beth Friedmann, Michael Oppenheim, Jamie S. Hirsch, Theodoros P. Zanos, Michael Scheid

Remdesivir in Patients With Estimated GFR <30 ml/min per 1.73 m2 or on Renal Replacement Therapy

Kidney International Reports(2020)10.1016/j.ekir.2020.11.025
N/A
0DataRank · unranked
27 citations

Ian A. Strohbehn, Zain Mithani, Jamie S. Hirsch, Rimda Wanchoo, Pranisha Gautam Goyal +8 more

Beyond episodic early warning systems: a continuous clinical alert system for early detection of in-hospital deterioration

medRxiv(2025)10.1101/2025.05.20.25327940
N/A
0DataRank · unranked
1 citations

Beth Friedmann, Michael Oppenheim, Jamie S. Hirsch, Theodoros P. Zanos, Michael Scheid

Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model

npj Digital Medicine(2020)10.1038/s41746-020-00355-7
N/A
0DataRank · unranked
25 citations

Marsha Meytlis, Douglas P. Barnaby, Kevin Bock, Michael Oppenheim, Yousef Al‐Abed +6 more

Serum potassium laboratory reference ranges influence provider treatment behaviors for hyperkalemia

Nephrology Dialysis Transplantation(2020)10.1093/ndt/gfaa270
N/A
0DataRank · unranked
2 citations

Rushang Parikh, Safiya Richardson, Kevin Bock, Vipulbhai Sakhiya, Steven Fishbane +2 more