Sarojini David

37 total papers · 474 total citations
10 papers, 293 citations indexed

About

Sarojini David is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sarojini David has authored 10 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sarojini David's work include Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Sarojini David is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Sarojini David collaborates with scholars based in United Kingdom, Singapore and Grenada. Sarojini David's co-authors include Khaled Alfakih, Viviana Maestrini, Andrew T. Cox, Mathew G Wilson, Tee Joo Yeo, Aneil Malhotra, Michael Papadakis, Stefania Rosmini, James Moon and Ahmed Merghani and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Sarojini David

10 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Sarojini David	226	124	81	35	27	10	293
Thijs L. Braber	284 1.3×	141 1.1×	83 1.0×	45 1.3×	35 1.3×	12	335
Wade Thomson	223 1.0×	111 0.9×	42 0.5×	51 1.5×	49 1.8×	12	332
VICTORIA A. BRADESS	207 0.9×	87 0.7×	23 0.3×	41 1.2×	6 0.2×	8	356
M Zuber	267 1.2×	54 0.4×	48 0.6×	38 1.1×	28 1.0×	6	321
James H. Currens	111 0.5×	19 0.2×	45 0.6×	26 0.7×	16 0.6×	15	221
Aisling Kelly	199 0.9×	20 0.2×	118 1.5×	11 0.3×	89 3.3×	13	309
Hélène Weber	286 1.3×	22 0.2×	152 1.9×	22 0.6×	6 0.2×	15	353
Cheryl Leddy	249 1.1×	17 0.1×	137 1.7×	18 0.5×	9 0.3×	10	336
Christian Verdicchio	259 1.1×	19 0.2×	53 0.7×	28 0.8×	10 0.4×	13	298
Teferi Mitiku	225 1.0×	22 0.2×	102 1.3×	14 0.4×	21 0.8×	10	260

Countries citing papers authored by Sarojini David

Since Specialization

Citations

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

Fields of papers citing papers by Sarojini David

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarojini David

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