Ciara N. Tan

964 total citations · 1 hit paper
8 papers, 662 citations indexed

About

Ciara N. Tan is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Ciara N. Tan has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Ciara N. Tan's work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Traumatic Brain Injury Research (5 papers) and S100 Proteins and Annexins (4 papers). Ciara N. Tan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Traumatic Brain Injury Research (5 papers) and S100 Proteins and Annexins (4 papers). Ciara N. Tan collaborates with scholars based in United States. Ciara N. Tan's co-authors include Linda Papa, Neema J. Ameli, Carolina F. Braga, Philip Giordano, Salvatore Silvestri, Marco Antonio López, Gretchen M. Brophy, Robert D. Welch, Lawrence M. Lewis and Kurt Weber and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, Journal of Neurotrauma and JAMA Neurology.

In The Last Decade

Ciara N. Tan

8 papers receiving 651 citations

Hit Papers

Time Course and Diagnostic Accuracy of Glial and Neuronal... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ciara N. Tan United States 7 524 444 320 191 40 8 662
Neema J. Ameli United States 9 557 1.1× 458 1.0× 359 1.1× 192 1.0× 41 1.0× 11 755
Carolina F. Braga United States 8 637 1.2× 510 1.1× 332 1.0× 262 1.4× 81 2.0× 9 808
Arvid Frostell Sweden 12 290 0.6× 188 0.4× 187 0.6× 87 0.5× 35 0.9× 19 569
Crystal Hill-Pryor United States 6 259 0.5× 208 0.5× 167 0.5× 88 0.5× 19 0.5× 8 380
G. H. Vowles United Kingdom 8 439 0.8× 329 0.7× 130 0.4× 144 0.8× 34 0.8× 9 600
Lars A. Rödiger Netherlands 14 364 0.7× 399 0.9× 121 0.4× 103 0.5× 132 3.3× 16 654
John D. Arena United States 10 259 0.5× 208 0.5× 100 0.3× 67 0.4× 29 0.7× 26 368
Anthony Alberico United States 9 340 0.6× 175 0.4× 80 0.3× 169 0.9× 11 0.3× 18 523
Brian Moore United States 3 235 0.4× 188 0.4× 96 0.3× 75 0.4× 31 0.8× 4 328
Alexios A. Adamides Australia 11 284 0.5× 96 0.2× 105 0.3× 85 0.4× 21 0.5× 24 443

Countries citing papers authored by Ciara N. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ciara N. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciara N. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ciara N. Tan. A scholar is included among the top collaborators of Ciara N. 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 Ciara N. Tan. Ciara N. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Papa, Linda, Laura Cook, Josef G. Thundiyil, et al.. (2022). Concussion severity and functional outcome using biomarkers in children and youth involved in organized sports, recreational activities and non-sport related incidents. Brain Injury. 36(8). 939–947. 7 indexed citations
2.
Papa, Linda, Mark R. Zonfrillo, Robert D. Welch, et al.. (2019). Evaluating glial and neuronal blood biomarkers GFAP and UCH-L1 as gradients of brain injury in concussive, subconcussive and non-concussive trauma: a prospective cohort study. BMJ Paediatrics Open. 3(1). e000473–e000473. 65 indexed citations
3.
Papa, Linda, Manoj Mittal, José Ramirez, et al.. (2017). Neuronal Biomarker Ubiquitin C-Terminal Hydrolase Detects Traumatic Intracranial Lesions on Computed Tomography in Children and Youth with Mild Traumatic Brain Injury. Journal of Neurotrauma. 34(13). 2132–2140. 34 indexed citations
4.
Papa, Linda, Gretchen M. Brophy, Robert D. Welch, et al.. (2016). Time Course and Diagnostic Accuracy of Glial and Neuronal Blood Biomarkers GFAP and UCH-L1 in a Large Cohort of Trauma Patients With and Without Mild Traumatic Brain Injury. JAMA Neurology. 73(5). 551–551. 330 indexed citations breakdown →
5.
Papa, Linda, Mark R. Zonfrillo, José Ramirez, et al.. (2015). Performance of Glial Fibrillary Acidic Protein in Detecting Traumatic Intracranial Lesions on Computed Tomography in Children and Youth With Mild Head Trauma. Academic Emergency Medicine. 22(11). 1274–1282. 33 indexed citations
6.
7.
Papa, Linda, Salvatore Silvestri, Gretchen M. Brophy, et al.. (2014). GFAP Out-Performs S100β in Detecting Traumatic Intracranial Lesions on Computed Tomography in Trauma Patients with Mild Traumatic Brain Injury and Those with Extracranial Lesions. Journal of Neurotrauma. 31(22). 1815–1822. 140 indexed citations
8.
Papa, Linda, et al.. (2014). Systematic Review and Meta-Analysis of Noninvasive Cranial Nerve Neuromodulation for Nervous System Disorders. Archives of Physical Medicine and Rehabilitation. 95(12). 2435–2443. 6 indexed citations

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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