Arlene A. Tan

15 total papers · 431 total citations
11 papers, 332 citations indexed

About

Arlene A. Tan is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Arlene A. Tan has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Arlene A. Tan's work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Traumatic Brain Injury Research (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Arlene A. Tan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Traumatic Brain Injury Research (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Arlene A. Tan collaborates with scholars based in United States, Malaysia and Netherlands. Arlene A. Tan's co-authors include Douglas C. Smith, Michael R. Hoane, Steven L. Neese, Ronald A. Browning, Rodney W. Roosevelt, Gail D. Anderson, Richard W. Clough, Suzanne McKenna, Robert A. Jensen and Michael P. Vitek and has published in prestigious journals such as Brain Research, The FASEB Journal and Neuroscience.

In The Last Decade

Arlene A. Tan

11 papers receiving 324 citations

Author Peers

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

Author						Papers	Cites
Arlene A. Tan	132	126	97	96	70	11	332
Carroll Warren	131 1.0×	40 0.3×	53 0.5×	49 0.5×	73 1.0×	10	370
Patricia B. de la Tremblaye	122 0.9×	84 0.7×	47 0.5×	120 1.3×	51 0.7×	15	369
Marc Haseldonckx	137 1.0×	53 0.4×	67 0.7×	41 0.4×	44 0.6×	17	352
Lee Anne Cannella	109 0.8×	90 0.7×	122 1.3×	77 0.8×	26 0.4×	11	343
A. Piraux	157 1.2×	63 0.5×	90 0.9×	28 0.3×	33 0.5×	13	389
G.J. Zipfel	141 1.1×	83 0.7×	55 0.6×	79 0.8×	18 0.3×	16	330
Payashi Garry	93 0.7×	82 0.7×	82 0.8×	51 0.5×	14 0.2×	9	392
Donna M. Geddes‐Klein	130 1.0×	40 0.3×	129 1.3×	97 1.0×	22 0.3×	7	326
Julia Löhr	97 0.7×	71 0.6×	81 0.8×	30 0.3×	23 0.3×	9	385
E. Shohami	169 1.3×	59 0.5×	137 1.4×	71 0.7×	29 0.4×	9	341

Countries citing papers authored by Arlene A. Tan

Since Specialization

Citations

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

Fields of papers citing papers by Arlene A. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arlene A. Tan

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