Nadia Liyanage-Don

30 total papers · 5.2k total citations
14 papers, 214 citations indexed

About

Nadia Liyanage-Don is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Nadia Liyanage-Don has authored 14 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Nadia Liyanage-Don's work include Blood Pressure and Hypertension Studies (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). Nadia Liyanage-Don is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). Nadia Liyanage-Don collaborates with scholars based in United States. Nadia Liyanage-Don's co-authors include Ian M. Kronish, Laura M. Tully, Christine I. Hooker, Sarah Hope Lincoln, Erica Phillips, Teryl K. Nuckols, Hiroshi Gotanda, Marie Krousel‐Wood, Andrew E. Moran and Yiyi Zhang and has published in prestigious journals such as Stroke, Hypertension and The American Journal of Cardiology.

In The Last Decade

Nadia Liyanage-Don

12 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Nadia Liyanage-Don	71	42	33	32	29	14	214
Giulia Innocenti Bruni	34 0.5×	10 0.2×	26 0.8×	61 1.9×	12 0.4×	24	320
Thomas A. Remble	15 0.2×	41 1.0×	29 0.9×	9 0.3×	22 0.8×	11	328
Amy Wisniewski	48 0.7×	7 0.2×	10 0.3×	27 0.8×	40 1.4×	11	311
Meng‐Tsang Hsieh	49 0.7×	18 0.4×	9 0.3×	26 0.8×	15 0.5×	14	254
P. Medado	59 0.8×	85 2.0×	4 0.1×	59 1.8×	37 1.3×	13	309
Motonao Ishikawa	46 0.6×	11 0.3×	7 0.2×	10 0.3×	19 0.7×	18	182
Christine Hsieh	9 0.1×	29 0.7×	28 0.8×	60 1.9×	22 0.8×	19	266
Sean Gaine	43 0.6×	17 0.4×	16 0.5×	8 0.3×	24 0.8×	12	294
Robert Shaw	14 0.2×	19 0.5×	14 0.4×	53 1.7×	9 0.3×	21	308
Patrizia Pochetti	13 0.2×	31 0.7×	60 1.8×	35 1.1×	9 0.3×	10	255

Countries citing papers authored by Nadia Liyanage-Don

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Liyanage-Don

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Liyanage-Don. 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 Nadia Liyanage-Don. The network helps show where Nadia Liyanage-Don may publish in the future.

Co-authorship network of co-authors of Nadia Liyanage-Don

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Liyanage-Don. A scholar is included among the top collaborators of Nadia Liyanage-Don 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 Nadia Liyanage-Don. Nadia Liyanage-Don 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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