Sareen Shah

600 total citations · 1 hit paper
17 papers, 386 citations indexed

About

Sareen Shah is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sareen Shah has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Sareen Shah's work include Respiratory Support and Mechanisms (7 papers), Sepsis Diagnosis and Treatment (7 papers) and COVID-19 Clinical Research Studies (4 papers). Sareen Shah is often cited by papers focused on Respiratory Support and Mechanisms (7 papers), Sepsis Diagnosis and Treatment (7 papers) and COVID-19 Clinical Research Studies (4 papers). Sareen Shah collaborates with scholars based in United States and Israel. Sareen Shah's co-authors include Christine A. Capone, James Schneider, Elizabeth Mitchell, Charles L. Schleien, Todd Sweberg, Eric Wald, Shilpi Epstein, Kristy Williamson, Nancy Palumbo and Lorry G. Rubin and has published in prestigious journals such as PEDIATRICS, Kidney International and CHEST Journal.

In The Last Decade

Sareen Shah

15 papers receiving 382 citations

Hit Papers

Characteristics, Cardiac ... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sareen Shah United States 8 219 160 95 73 69 17 386
Abbey J. Winant United States 11 165 0.8× 93 0.6× 167 1.8× 71 1.0× 24 0.3× 49 411
Richard Chocron France 11 113 0.5× 99 0.6× 80 0.8× 44 0.6× 57 0.8× 41 455
Vijai Williams India 9 138 0.6× 90 0.6× 63 0.7× 77 1.1× 22 0.3× 34 449
Marta Farrero Spain 12 217 1.0× 121 0.8× 41 0.4× 32 0.4× 92 1.3× 60 484
Clay T. Cohen United States 8 116 0.5× 93 0.6× 31 0.3× 46 0.6× 21 0.3× 21 281
Eilon Ram Israel 13 290 1.3× 189 1.2× 107 1.1× 93 1.3× 55 0.8× 84 756
Д. Н. Проценко Russia 9 57 0.3× 121 0.8× 106 1.1× 110 1.5× 17 0.2× 111 448
Samuel Z. Maron United States 9 79 0.4× 168 1.1× 148 1.6× 49 0.7× 20 0.3× 22 494
Christopher Fung United States 9 50 0.2× 74 0.5× 41 0.4× 35 0.5× 27 0.4× 33 314
Bartosz Tyczynski Germany 10 57 0.3× 98 0.6× 29 0.3× 57 0.8× 28 0.4× 20 260

Countries citing papers authored by Sareen Shah

Since Specialization
Citations

This map shows the geographic impact of Sareen Shah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sareen Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sareen Shah more than expected).

Fields of papers citing papers by Sareen Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sareen Shah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sareen Shah. The network helps show where Sareen Shah may publish in the future.

Co-authorship network of co-authors of Sareen Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Sareen Shah. A scholar is included among the top collaborators of Sareen Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sareen Shah. Sareen Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sanchez‐Pinto, L. Nelson, Mihir R. Atreya, E. Vincent S. Faustino, et al.. (2025). Phoenix Sepsis Criteria in Critically Ill Children: Retrospective Validation Using a United States Nine-Center Dataset, 2012–2018. Pediatric Critical Care Medicine. 26(2). e155–e165. 7 indexed citations
2.
Farris, Reid, Sareen Shah, Tellen D. Bennett, et al.. (2025). The PICU Data Collaborative: A Novel, Multi-Institutional, Pediatric Critical Care Dataset. Pediatric Critical Care Medicine. 26(7). e941–e951.
3.
Taylor, Matthew, et al.. (2023). Procalcitonin Levels in Identifying Bacterial Infections in Children with and without COVID-19. PubMed. 5(4). 287–291. 1 indexed citations
4.
Tripathi, Sandeep, Eugene Laksana, Michael C. McCrory, et al.. (2023). Analgesia and Sedation at Terminal Extubation: A Secondary Analysis From Death One Hour After Terminal Extubation Study Data*. Pediatric Critical Care Medicine. 24(6). 463–472. 1 indexed citations
5.
Kaplan, Daniel M., et al.. (2023). Interrater Reliability of the 2015 Pediatric Acute Lung Injury Consensus Conference Criteria for Pediatric ARDS. CHEST Journal. 164(3). 650–655. 1 indexed citations
6.
Geneslaw, Andrew S., Christine A. Capone, Sareen Shah, et al.. (2023). Early Treatment of Multisystem Inflammatory Syndrome in Children. PEDIATRICS. 152(3). 6 indexed citations
7.
Sanchez‐Pinto, L. Nelson, Tellen D. Bennett, Emily K. Stroup, et al.. (2023). Derivation, Validation, and Clinical Relevance of a Pediatric Sepsis Phenotype With Persistent Hypoxemia, Encephalopathy, and Shock*. Pediatric Critical Care Medicine. 24(10). 795–806. 29 indexed citations
8.
Schneider, James, et al.. (2023). Factors Associated With Post-Extubation Stridor in Infants Intubated in the Pediatric ICU. Journal of Intensive Care Medicine. 39(4). 336–340. 1 indexed citations
9.
Schneider, James, Sareen Shah, Pamela Singer, et al.. (2021). Acute kidney injury in pediatric patients hospitalized with acute COVID-19 and multisystem inflammatory syndrome in children associated with COVID-19. Kidney International. 100(1). 138–145. 41 indexed citations
10.
Shah, Sareen, Stefan Hagmann, Fiore Mastroianni, et al.. (2020). Characteristics and risk factors associated with critical illness in pediatric COVID-19. Annals of Intensive Care. 10(1). 171–171. 32 indexed citations
11.
Leisman, Daniel E., Fiore Mastroianni, Sareen Shah, et al.. (2020). Physiologic Response to Angiotensin II Treatment for Coronavirus Disease 2019–Induced Vasodilatory Shock: A Retrospective Matched Cohort Study. Critical Care Explorations. 2(10). e0230–e0230. 16 indexed citations
12.
Capone, Christine A., Anupama Subramony, Todd Sweberg, et al.. (2020). Characteristics, Cardiac Involvement, and Outcomes of Multisystem Inflammatory Syndrome of Childhood Associated with severe acute respiratory syndrome coronavirus 2 Infection. The Journal of Pediatrics. 224. 141–145. 186 indexed citations breakdown →
13.
Barish, Matthew A., et al.. (2020). External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19. Nature Machine Intelligence. 3(1). 25–27. 37 indexed citations
14.
Bennett, Tellen D., L. Nelson Sanchez‐Pinto, Reid Farris, et al.. (2020). 539: The Pediatric ICU Data Collaborative. Critical Care Medicine. 49(1). 262–262.
15.
Shah, Sareen, Stefan Hagmann, Fiore Mastroianni, et al.. (2020). 233: Characteristics and Risk Factors Associated With Critical Illness in Pediatric COVID-19. Critical Care Medicine. 49(1). 102–102. 1 indexed citations
16.
Shah, Sareen, et al.. (2016). 2: EARLY PREDICTION OF PATIENT DETERIORATION USING MACHINE LEARNING TECHNIQUES WITH TIME SERIES DATA. Critical Care Medicine. 44(12). 87–87. 3 indexed citations
17.
Shah, Sareen & Eric Wald. (2014). Type B Lactic Acidosis Secondary to Thiamine Deficiency in a Child With Malignancy. PEDIATRICS. 135(1). e221–e224. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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