Arlene I. Ramsingh

40 total papers · 1.0k total citations
31 papers, 801 citations indexed

About

Arlene I. Ramsingh is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Genetics. According to data from OpenAlex, Arlene I. Ramsingh has authored 31 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 11 papers in Epidemiology and 11 papers in Genetics. Recurrent topics in Arlene I. Ramsingh's work include Viral Infections and Immunology Research (15 papers), Diabetes and associated disorders (10 papers) and Pancreatitis Pathology and Treatment (7 papers). Arlene I. Ramsingh is often cited by papers focused on Viral Infections and Immunology Research (15 papers), Diabetes and associated disorders (10 papers) and Pancreatitis Pathology and Treatment (7 papers). Arlene I. Ramsingh collaborates with scholars based in United States, Finland and Germany. Arlene I. Ramsingh's co-authors include Sally A. Huber, Doris N. Collins, Michele Caggana, Nora M. Chapman, Peter Chan, William T. Lee, Steven Tracy, Andrew Reilly, Jill K. Slack and S. Tracy and has published in prestigious journals such as PLoS ONE, Journal of Virology and Human Molecular Genetics.

In The Last Decade

Arlene I. Ramsingh

31 papers receiving 792 citations

Author Peers

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

Author Last Decade Papers Cites
Arlene I. Ramsingh 455 264 262 255 228 31 801
Amir‐Babak Sioofy‐Khojine 312 0.7× 416 1.6× 167 0.6× 336 1.3× 139 0.6× 38 904
J. Smith Leser 295 0.6× 182 0.7× 125 0.5× 335 1.3× 154 0.7× 25 740
Petri Ylipaasto 303 0.7× 575 2.2× 112 0.4× 338 1.3× 209 0.9× 24 904
Daniel Galbraith 195 0.4× 398 1.5× 90 0.3× 161 0.6× 112 0.5× 19 724
Diana Kouiavskaia 254 0.6× 56 0.2× 164 0.6× 207 0.8× 171 0.8× 35 843
Bryan T. Butman 171 0.4× 139 0.5× 121 0.5× 126 0.5× 157 0.7× 27 951
Jingchun Zhang 311 0.7× 119 0.5× 333 1.3× 104 0.4× 172 0.8× 39 971
Minna M. Hankaniemi 262 0.6× 365 1.4× 111 0.4× 306 1.2× 121 0.5× 24 700
Kunio Yamaoka 220 0.5× 52 0.2× 140 0.5× 188 0.7× 279 1.2× 29 891
Huifang M. Zhang 372 0.8× 121 0.5× 133 0.5× 95 0.4× 195 0.9× 27 820

Countries citing papers authored by Arlene I. Ramsingh

Since Specialization
Citations

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

Fields of papers citing papers by Arlene I. Ramsingh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arlene I. Ramsingh. 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 Arlene I. Ramsingh. The network helps show where Arlene I. Ramsingh may publish in the future.

Co-authorship network of co-authors of Arlene I. Ramsingh

This figure shows the co-authorship network connecting the top 25 collaborators of Arlene I. Ramsingh. A scholar is included among the top collaborators of Arlene I. Ramsingh 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 Arlene I. Ramsingh. Arlene I. Ramsingh 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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