Praleene Sivapalan

43 total papers · 1.1k total citations
23 papers, 122 citations indexed

About

Praleene Sivapalan is a scholar working on Surgery, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Praleene Sivapalan has authored 23 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Epidemiology and 10 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Praleene Sivapalan's work include Sepsis Diagnosis and Treatment (12 papers), Hemodynamic Monitoring and Therapy (10 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers). Praleene Sivapalan is often cited by papers focused on Sepsis Diagnosis and Treatment (12 papers), Hemodynamic Monitoring and Therapy (10 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers). Praleene Sivapalan collaborates with scholars based in Denmark, Sweden and Switzerland. Praleene Sivapalan's co-authors include Anders Perner, Morten Hylander Møller, Anders Granholm, Sisse Rye Ostrowski, Carl Thomas Anthon, Pär I. Johansson, Hanne Berg Ravn, Tine Sylvest Meyhoff, Benjamin Skov Kaas‐Hansen and Peter Buhl Hjortrup and has published in prestigious journals such as CHEST Journal, Critical Care Medicine and Intensive Care Medicine.

In The Last Decade

Praleene Sivapalan

22 papers receiving 122 citations

Author Peers

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

Author						Papers	Cites
Praleene Sivapalan	45	45	43	27	19	23	122
Carl Thomas Anthon	72 1.6×	43 1.0×	24 0.6×	26 1.0×	7 0.4×	22	163
Jason Pott	45 1.0×	27 0.6×	45 1.0×	20 0.7×	9 0.5×	14	155
Ciro Leite Mendes	45 1.0×	52 1.2×	105 2.4×	79 2.9×	8 0.4×	25	237
Seok‐In Hong	27 0.6×	50 1.1×	29 0.7×	22 0.8×	21 1.1×	24	149
Joshua M. DeMott	19 0.4×	36 0.8×	40 0.9×	50 1.9×	8 0.4×	24	222
Nadia B. Hensley	52 1.2×	30 0.7×	50 1.2×	112 4.1×	9 0.5×	32	220
Abdalla Ammar	76 1.7×	59 1.3×	25 0.6×	55 2.0×	7 0.4×	24	217
Mehrnaz Pajoumand	102 2.3×	25 0.6×	23 0.5×	28 1.0×	8 0.4×	25	185
Paula Andrea Duque	21 0.5×	17 0.4×	35 0.8×	21 0.8×	26 1.4×	25	105
Simone Lindau	46 1.0×	47 1.0×	36 0.8×	46 1.7×	12 0.6×	21	246

Countries citing papers authored by Praleene Sivapalan

Since Specialization

Citations

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

Fields of papers citing papers by Praleene Sivapalan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praleene Sivapalan

This figure shows the co-authorship network connecting the top 25 collaborators of Praleene Sivapalan. A scholar is included among the top collaborators of Praleene Sivapalan 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 Praleene Sivapalan. Praleene Sivapalan 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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