Danielle Leong

550 total citations
12 papers, 396 citations indexed

About

Danielle Leong is a scholar working on Epidemiology, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Danielle Leong has authored 12 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Danielle Leong's work include Traumatic Brain Injury Research (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Gaze Tracking and Assistive Technology (2 papers). Danielle Leong is often cited by papers focused on Traumatic Brain Injury Research (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Gaze Tracking and Assistive Technology (2 papers). Danielle Leong collaborates with scholars based in United States. Danielle Leong's co-authors include Laura J. Balcer, Steven Galetta, Christina L. Master, Rachel E. Ventura, Mengling Liu, Kristin Galetta, Greg J. Evans, David G. Watt, Amaal J. Starling and Bert B. Vargas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Child Neurology and Clinical Pediatrics.

In The Last Decade

Danielle Leong

12 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Leong United States	8	326	193	122	77	68	12	396
Steve Devick United States	4	433 1.3×	283 1.5×	168 1.4×	102 1.3×	87 1.3×	6	524
Lisena Hasanaj United States	11	285 0.9×	161 0.8×	101 0.8×	88 1.1×	82 1.2×	24	405
Sally Nogle United States	6	358 1.1×	113 0.6×	126 1.0×	23 0.3×	101 1.5×	16	422
Olivia E. Podolak United States	8	340 1.0×	234 1.2×	108 0.9×	81 1.1×	78 1.1×	22	392
Megan Allen United States	3	229 0.7×	133 0.7×	85 0.7×	52 0.7×	47 0.7×	5	257
E. Matser Netherlands	4	295 0.9×	171 0.9×	127 1.0×	16 0.2×	52 0.8×	7	361
Natalie Sandel United States	8	424 1.3×	186 1.0×	240 2.0×	12 0.2×	95 1.4×	12	445
Diana P. Ludlam United States	13	377 1.2×	290 1.5×	62 0.5×	185 2.4×	29 0.4×	25	493
Trey E. Shenk United States	10	481 1.5×	239 1.2×	126 1.0×	15 0.2×	35 0.5×	16	550
Melissa N. Womble United States	11	248 0.8×	145 0.8×	110 0.9×	11 0.1×	52 0.8×	37	351

Countries citing papers authored by Danielle Leong

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Leong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Leong

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

All Works

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12 of 12 papers shown

Messner, Leonard V., et al.. (2020). Use of the King-Devick Variable Color Contrast Sensitivity Chart to differentiate stages of age-related macular degeneration. BMJ Open Ophthalmology. 5(1). e000451–e000451. 1 indexed citations

McLeod, Heather, et al.. (2018). Color Contrast Sensitivity in Age-Related Macular Degeneration(AMD). 59(9). 2418–2418. 1 indexed citations

Leong, Danielle, et al.. (2017). Visual Structure and Function in Collision Sport Athletes. Journal of Neuro-Ophthalmology. 38(3). 285–291. 13 indexed citations

Leong, Danielle, Amaal J. Starling, Steven Galetta, et al.. (2017). King-Devick Test identifies real-time concussion and asymptomatic concussion in youth athletes. Neurology Clinical Practice. 7(6). 464–473. 22 indexed citations

Leong, Danielle. (2016). Psychometric Properties of the King-Devick Test. Athletic Training & Sports Health Care. 8(5). 231–232. 1 indexed citations

Dodick, David W., Amaal J. Starling, Jennifer V. Wethe, et al.. (2016). The Effect of In-School Saccadic Training on Reading Fluency and Comprehension in First and Second Grade Students. Journal of Child Neurology. 32(1). 104–111. 21 indexed citations

Leong, Danielle, et al.. (2015). The King–Devick test for sideline concussion screening in collegiate football. Journal of Optometry. 8(2). 131–139. 96 indexed citations

Pang, Yi, et al.. (2015). Factors Predicting King-Devick Test Performance in Adults and Adolescents. 56(7). 3864–3864. 1 indexed citations

Galetta, Kristin, Mengling Liu, Danielle Leong, et al.. (2015). The King-Devick test of rapid number naming for concussion detection: meta-analysis and systematic review of the literature. SHILAP Revista de lepidopterología. 1(2). CNC8–CNC8. 117 indexed citations

10.

Starling, Amaal J., et al.. (2015). Variability of the modified Balance Error Scoring System at baseline using objective and subjective balance measures. SHILAP Revista de lepidopterología. 1(1). CNC5–CNC5. 22 indexed citations

11.

Leong, Danielle, Christina L. Master, Leonard V. Messner, et al.. (2014). The Effect of Saccadic Training on Early Reading Fluency. Clinical Pediatrics. 53(9). 858–864. 27 indexed citations

12.

Leong, Danielle, et al.. (2014). The King-Devick test as a concussion screening tool administered by sports parents.. PubMed. 54(1). 70–7. 74 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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