Sara Nikravan

36 total papers · 675 total citations
12 papers, 401 citations indexed

About

Sara Nikravan is a scholar working on Surgery, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sara Nikravan has authored 12 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Critical Care and Intensive Care Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sara Nikravan's work include Hemodynamic Monitoring and Therapy (7 papers), Ultrasound in Clinical Applications (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Sara Nikravan is often cited by papers focused on Hemodynamic Monitoring and Therapy (7 papers), Ultrasound in Clinical Applications (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Sara Nikravan collaborates with scholars based in United States, Canada and Liechtenstein. Sara Nikravan's co-authors include Colin K. Grissom, Sarah J. Beesley, Sajid Shahul, Michael J. Lanspa, Gerhard Weber, Samuel M. Brown, Todd Sarge, José L. Díaz‐Gómez, Muhamed Sarić and Pingping Song and has published in prestigious journals such as Critical Care Medicine, The Annals of Thoracic Surgery and Circulation Cardiovascular Imaging.

In The Last Decade

Sara Nikravan

11 papers receiving 395 citations

Hit Papers

Septic Cardiomyopathy 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Nikravan 188 130 128 101 89 12 401
Andrés Torres 138 0.7× 139 1.1× 77 0.6× 56 0.6× 90 1.0× 19 430
Olivier Joulin 156 0.8× 82 0.6× 95 0.7× 119 1.2× 68 0.8× 8 344
Shane Gillespie 240 1.3× 222 1.7× 213 1.7× 107 1.1× 22 0.2× 11 431
Jodi Chen 202 1.1× 92 0.7× 50 0.4× 31 0.3× 45 0.5× 15 441
Marius G. Dehne 132 0.7× 112 0.9× 121 0.9× 108 1.1× 36 0.4× 20 391
Ma Qing 70 0.4× 134 1.0× 91 0.7× 74 0.7× 34 0.4× 14 338
A A Driedger 79 0.4× 145 1.1× 56 0.4× 36 0.4× 37 0.4× 19 379
Chantal Montémont 178 0.9× 128 1.0× 68 0.5× 55 0.5× 46 0.5× 10 441
Angela Acheampong 224 1.2× 220 1.7× 63 0.5× 110 1.1× 40 0.4× 9 385
Yamin Zhuang 57 0.3× 68 0.5× 136 1.1× 62 0.6× 47 0.5× 20 350

Countries citing papers authored by Sara Nikravan

Since Specialization
Citations

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

Fields of papers citing papers by Sara Nikravan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Nikravan

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

All Works

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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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