Maryam Correa

1.8k total citations · 1 hit paper
7 papers, 713 citations indexed

About

Maryam Correa is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maryam Correa has authored 7 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maryam Correa's work include Sepsis Diagnosis and Treatment (5 papers), Adrenal Hormones and Disorders (2 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). Maryam Correa is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Adrenal Hormones and Disorders (2 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). Maryam Correa collaborates with scholars based in Australia, Denmark and United Kingdom. Maryam Correa's co-authors include Laurent Billot, John Myburgh, Simon Finfer, Kelly Thompson, Andrew Rhodes, Rinaldo Bellomo, Meg Harward, Yaseen M. Arabi, Anders Perner and Colin McArthur and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Endocrine Connections.

In The Last Decade

Maryam Correa

7 papers receiving 700 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adjunctive Glucocorticoid Therapy in Patients with Septic Shock

2018 598 citations Balasubramanian Venkatesh, Simon Finfer et al. New England Journal of Medicine profile →

Peers

Maryam Correa

EPIDE

CCICM

EDM

PRM

SURGE

Meg Harward Australia

Annette Esper United States

Jeffrey Nowak United States

Pei-Wen Chao Taiwan

Aisha Anjum United Kingdom

José Rodolfo Rocco Brazil

Surat Tongyoo Thailand

Ulrike Holzinger Austria

Vikramjit Khangoora United States

Marie Claude Jars-Guincestre France

Meg Harward Australia

Maryam Correa

597 ×1.4

EPIDE

248 ×1.0

CCICM

240 ×1.2

EDM

157 ×1.2

PRM

194 ×1.6

SURGE

Citations per year, relative to Maryam Correa Maryam Correa (= 1×) peers Meg Harward

Countries citing papers authored by Maryam Correa

Since Specialization

Citations

This map shows the geographic impact of Maryam Correa'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 Maryam Correa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Correa more than expected).

Fields of papers citing papers by Maryam Correa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryam Correa. 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 Maryam Correa. The network helps show where Maryam Correa may publish in the future.

Co-authorship network of co-authors of Maryam Correa

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Correa. A scholar is included among the top collaborators of Maryam Correa 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 Maryam Correa. Maryam Correa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Correa, Maryam, et al.. (2025). Induction of type 2 and 3 deiodinase in the blood cells of critically ill patients. Endocrine Connections. 14(4). 1 indexed citations

2.

Billot, Laurent, Brian H. Cuthbertson, Anthony Gordon, et al.. (2021). Protocol summary and statistical analysis plan for the Selective Decontamination of the Digestive Tract in Intensive Care Unit Patients (SuDDICU) crossover, cluster randomised controlled trial. Critical Care and Resuscitation. 23(2). 183–193. 4 indexed citations

3.

Taylor, Colman, Yang Li, Simon Finfer, et al.. (2020). An international comparison of the cost of fluid resuscitation therapies. Australian Critical Care. 34(1). 23–32. 14 indexed citations

4.

Venkatesh, Balasubramanian, Simon Finfer, Jeremy Cohen, et al.. (2018). Adjunctive Glucocorticoid Therapy in Patients with Septic Shock. New England Journal of Medicine. 378(9). 797–808. 598 indexed citations breakdown →

5.

Venkatesh, Balasubramanian, Simon Finfer, Jeremy Cohen, et al.. (2018). Adjunctive Glucocorticoid Therapy in Patients with Septic Shock. Yearbook of pediatric endocrinology. 13 indexed citations

6.

Billot, Laurent, Balasubramanian Venkatesh, John Myburgh, et al.. (2017). Statistical analysis plan for the Adjunctive Corticosteroid Treatment in Critically Ill Patients with Septic Shock (ADRENAL) trial. Critical Care and Resuscitation. 19(2). 183–191.e8. 5 indexed citations

7.

Hammond, Naomi, Colman Taylor, Simon Finfer, et al.. (2017). Patterns of intravenous fluid resuscitation use in adult intensive care patients between 2007 and 2014: An international cross-sectional study. PLoS ONE. 12(5). e0176292–e0176292. 78 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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