Eduardo San Román

1.2k total citations · 1 hit paper
38 papers, 732 citations indexed

About

Eduardo San Román is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Eduardo San Román has authored 38 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Eduardo San Román's work include Respiratory Support and Mechanisms (13 papers), Sepsis Diagnosis and Treatment (9 papers) and Intensive Care Unit Cognitive Disorders (6 papers). Eduardo San Román is often cited by papers focused on Respiratory Support and Mechanisms (13 papers), Sepsis Diagnosis and Treatment (9 papers) and Intensive Care Unit Cognitive Disorders (6 papers). Eduardo San Román collaborates with scholars based in Argentina, United States and Germany. Eduardo San Román's co-authors include J Pacín, Miguel Ángel de Jorge Turrión, Elisa Schiavi, Néstor Wainsztein, Arnaldo Dubín, Francisco Klein, Benjamin J. Dorfman, Antonio Gallesio, Fernando Pálizas and Guillermo Gutiérrez and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Eduardo San Román

29 papers receiving 698 citations

Hit Papers

Gastric intramucosal pH as a therapeutic index of tissue ... 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo San Román Argentina 9 415 281 228 217 149 38 732
Néstor Wainsztein Argentina 9 410 1.0× 196 0.7× 223 1.0× 258 1.2× 167 1.1× 19 747
Miguel Ángel de Jorge Turrión Argentina 8 494 1.2× 262 0.9× 230 1.0× 221 1.0× 147 1.0× 21 775
Antonio Gallesio Argentina 2 382 0.9× 172 0.6× 221 1.0× 191 0.9× 140 0.9× 5 558
Rodolfo Giniger Argentina 3 397 1.0× 186 0.7× 231 1.0× 201 0.9× 146 1.0× 5 589
H. Dits Belgium 17 698 1.7× 450 1.6× 100 0.4× 170 0.8× 192 1.3× 38 940
J Pacín Brazil 2 381 0.9× 171 0.6× 221 1.0× 191 0.9× 140 0.9× 8 562
Laurent Tronchon France 12 297 0.7× 190 0.7× 146 0.6× 265 1.2× 104 0.7× 21 573
Miriam Moseinco Argentina 6 291 0.7× 303 1.1× 197 0.9× 474 2.2× 93 0.6× 6 881
Martin Petzoldt Germany 13 298 0.7× 170 0.6× 82 0.4× 155 0.7× 140 0.9× 54 613
Maxime Nguyen France 15 383 0.9× 122 0.4× 58 0.3× 149 0.7× 245 1.6× 65 669

Countries citing papers authored by Eduardo San Román

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo San Román

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo San Román. 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 Eduardo San Román. The network helps show where Eduardo San Román may publish in the future.

Co-authorship network of co-authors of Eduardo San Román

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

All Works

20 of 20 papers shown
1.
Huespe, Iván, et al.. (2023). Alactic base excess is an independent predictor of death in sepsis: A propensity score analysis. Journal of Critical Care. 74. 154248–154248. 4 indexed citations
2.
Madorno, Matías, Pablo Rodríguez, José Dianti, et al.. (2022). Dynamic Relative Regional Lung Strain Estimated by Electrical Impedance Tomography in an Experimental Model of ARDS. Respiratory Care. 67(8). 906–913. 4 indexed citations
3.
Huespe, Iván, et al.. (2021). Changes in the management and clinical outcomes of critically ill patients without COVID-19 during the pandemic. SHILAP Revista de lepidopterología. 33(1). 68–74. 4 indexed citations
4.
Huespe, Iván, et al.. (2021). Clinical characteristics of critically ill patients with COVID-19.. PubMed. 81(4). 527–535. 3 indexed citations
5.
Huespe, Iván, et al.. (2021). Multicenter validation of Early Warning Scores for detection of clinical deterioration in COVID-19 hospitalized patients. Medicina Intensiva. 47(1). 9–15. 2 indexed citations
6.
Román, Eduardo San, et al.. (2020). Barium Aspiration After Esophagography. Archivos de Bronconeumología. 57(9). 586–586.
7.
Roberts, Michelle, Kearsley A. Stewart, Eduardo San Román, et al.. (2020). Experiences of Family Caregivers After an Acute Neurological Event. Neurocritical Care. 34(1). 45–53. 5 indexed citations
8.
Dianti, José, et al.. (2020). Utilización de membrana de circulación extracorpórea en síndrome de leak capilar idiopático: reporte de un caso. SHILAP Revista de lepidopterología. 77(3). 208–210. 3 indexed citations
9.
Rodríguez, Pablo, Norberto Tiribelli, Sebastián Fredes, et al.. (2020). Prevalence of Reverse Triggering in Early ARDS. CHEST Journal. 159(1). 186–195. 20 indexed citations
10.
Román, Eduardo San, et al.. (2019). The complexity of intracranial pressure as an indicator of cerebral autoregulation. Communications in Nonlinear Science and Numerical Simulation. 75. 192–199. 3 indexed citations
11.
Tusman, Gerardo, Matías Madorno, Pablo E. Otero, et al.. (2019). Effect of PEEP on Dead Space in an Experimental Model of ARDS. Respiratory Care. 65(1). 11–20. 14 indexed citations
13.
Arias, Aníbal, Eduardo San Román, Rodolfo Pizarro, et al.. (2018). Clinical Features and Outcomes of Takotsubo Syndrome at a University Hospital. 86(2). 90–95.
14.
Dianti, José, Matías Madorno, Júlio Raffo, et al.. (2018). Dead space analysis at different levels of positive end-expiratory pressure in acute respiratory distress syndrome patients. Journal of Critical Care. 45. 231–238. 17 indexed citations
15.
Román, Eduardo San, et al.. (2017). Factores de riesgo de mortalidad de los pacientes ancianos en cuidados intensivos sin limitación del esfuerzo de tratamiento. Medicina Intensiva. 42(8). 482–489. 13 indexed citations
16.
Tomicić, Vinko, et al.. (2017). Soporte vital extracorpóreo en adultos con insuficiencia respiratoria aguda refractaria. 31(4). 224–229.
17.
Tusman, Gerardo, et al.. (2013). Reference values for volumetric capnography-derived non-invasive parameters in healthy individuals. Journal of Clinical Monitoring and Computing. 27(3). 281–288. 27 indexed citations
18.
Román, Eduardo San. (2006). Qué necesitan los pacientes de sus médicos. Medicina Intensiva. 30(9). 449–451. 1 indexed citations
19.
Gutiérrez, Guillermo, Fernando Pálizas, Néstor Wainsztein, et al.. (1992). Gastric intramucosal pH as a therapeutic index of tissue oxygenation in critically ill patients. The Lancet. 339(8787). 195–199. 554 indexed citations breakdown →
20.
Savastano, Sergio, Diego Miotto, M Chiesura-Corona, et al.. (1992). [Chemoembolization in the therapy of hepatocarcinoma. A 3-year experience].. PubMed. 84(5). 608–12. 1 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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