Mark D. McCurdy

580 total citations
16 papers, 398 citations indexed

About

Mark D. McCurdy is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark D. McCurdy has authored 16 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 5 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark D. McCurdy's work include Childhood Cancer Survivors' Quality of Life (5 papers), Glioma Diagnosis and Treatment (5 papers) and Cancer-related cognitive impairment studies (5 papers). Mark D. McCurdy is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (5 papers), Glioma Diagnosis and Treatment (5 papers) and Cancer-related cognitive impairment studies (5 papers). Mark D. McCurdy collaborates with scholars based in United States and Canada. Mark D. McCurdy's co-authors include Meredith Minear, Matthew C. Hocking, Lisa A. Jacobson, Lamia P. Barakat, Brian P. Daly, Peter C. Phillips∥, Anne E. Kazak, Robert B. Noll, T. Andrew Zabel and E. Mark Mahone and has published in prestigious journals such as PEDIATRICS, Psychonomic Bulletin & Review and Developmental Medicine & Child Neurology.

In The Last Decade

Mark D. McCurdy

15 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. McCurdy United States 11 158 128 101 87 64 16 398
Juliana Nunes Santos Brazil 15 59 0.4× 58 0.5× 80 0.8× 70 0.8× 36 0.6× 70 551
Carolyn Hildebrandt United States 8 111 0.7× 31 0.2× 121 1.2× 45 0.5× 21 0.3× 11 337
Andrew Wood Australia 11 88 0.6× 41 0.3× 29 0.3× 163 1.9× 45 0.7× 27 400
Nicole Hayes Australia 12 55 0.3× 109 0.9× 30 0.3× 70 0.8× 52 0.8× 26 334
Daniel Weisberg United Kingdom 9 46 0.3× 38 0.3× 61 0.6× 168 1.9× 26 0.4× 15 411
Desiree Y. Phua Singapore 10 87 0.6× 88 0.7× 55 0.5× 132 1.5× 38 0.6× 22 399
Mesut Yavuz Türkiye 9 86 0.5× 17 0.1× 48 0.5× 110 1.3× 38 0.6× 32 274
Vincent Bréjard France 11 86 0.5× 12 0.1× 59 0.6× 110 1.3× 87 1.4× 24 301
Szabolcs Bandi Hungary 6 114 0.7× 9 0.1× 53 0.5× 114 1.3× 68 1.1× 20 358
Dimitrios Kokaridas Greece 14 143 0.9× 55 0.4× 29 0.3× 48 0.6× 18 0.3× 41 573

Countries citing papers authored by Mark D. McCurdy

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. McCurdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. McCurdy. 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 Mark D. McCurdy. The network helps show where Mark D. McCurdy may publish in the future.

Co-authorship network of co-authors of Mark D. McCurdy

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

All Works

16 of 16 papers shown
1.
McCurdy, Mark D., et al.. (2023). Predicting neuropsychological late effects in pediatric brain tumor survivors using the Neurological Predictor Scale and the Pediatric Neuro-Oncology Rating of Treatment Intensity. Journal of the International Neuropsychological Society. 30(4). 380–388. 5 indexed citations
2.
McCurdy, Mark D., Kimberly P. Raghubar, M. Fatih Okcu, et al.. (2022). Predicting neurocognitive function in pediatric brain tumor early survivorship: The neurological predictor scale and the incremental validity of tumor size. Pediatric Blood & Cancer. 69(9). e29803–e29803.
3.
Heitzer, Andrew M., Lisa S. Kahalley, Charles G. Minard, et al.. (2021). Treatment age and neurocognitive outcomes following proton beam radiotherapy for pediatric low‐ and intermediate‐grade gliomas. Pediatric Blood & Cancer. 68(8). e29096–e29096. 5 indexed citations
4.
Patrick, Kristina E., Maria T. Schultheis, Mark D. McCurdy, et al.. (2020). Executive function “drives” differences in simulated driving performance between young adults with and without autism spectrum disorder. Child Neuropsychology. 26(5). 649–665. 17 indexed citations
5.
Koriakin, Taylor A., Mark D. McCurdy, Alison E. Pritchard, T. Andrew Zabel, & Lisa A. Jacobson. (2019). Screening for Learning Difficulty Using Teacher Ratings on the Colorado Learning Difficulties Questionnaire. 24(1). 55–63. 1 indexed citations
6.
Patrick, Kristina E., Felicia Hurewitz, Mark D. McCurdy, et al.. (2018). Driving Comparisons Between Young Adults with Autism Spectrum Disorder and Typical Development. Journal of Developmental & Behavioral Pediatrics. 39(6). 451–460. 15 indexed citations
7.
McCurdy, Mark D., et al.. (2016). Associations among treatment-related neurological risk factors and neuropsychological functioning in survivors of childhood brain tumor. Journal of Neuro-Oncology. 127(1). 137–144. 18 indexed citations
8.
McCurdy, Mark D., et al.. (2016). Health-related quality of life in parents of pediatric brain tumor survivors at the end of tumor-directed therapy. Journal of Psychosocial Oncology. 34(4). 274–290. 19 indexed citations
9.
McCurdy, Mark D., Lamia P. Barakat, Wendy L. Hobbie, et al.. (2016). Discrepancies among Measures of Executive Functioning in a Subsample of Young Adult Survivors of Childhood Brain Tumor: Associations with Treatment Intensity. Journal of the International Neuropsychological Society. 22(9). 900–910. 11 indexed citations
10.
Daly, Brian P., et al.. (2015). Sleep duration, mental health, and substance use among rural adolescents: Developmental correlates.. Rural Mental Health. 39(2). 108–122. 14 indexed citations
11.
Hocking, Matthew C., Mark D. McCurdy, Anne E. Kazak, et al.. (2014). Social competence in pediatric brain tumor survivors: Application of a model from social neuroscience and developmental psychology. Pediatric Blood & Cancer. 62(3). 375–384. 72 indexed citations
12.
Jacobson, Lisa A., Reem A. Tarazi, Mark D. McCurdy, et al.. (2013). The Kennedy Krieger Independence Scales–Spina Bifida Version: A measure of executive components of self-management.. Rehabilitation Psychology. 58(1). 98–105. 16 indexed citations
13.
Patrick, Kristina E., Mark D. McCurdy, Douglas L. Chute, et al.. (2013). Clinical Utility of the Colorado Learning Difficulties Questionnaire. PEDIATRICS. 132(5). e1257–e1264. 22 indexed citations
14.
Minear, Meredith, et al.. (2013). Working memory, fluid intelligence, and impulsiveness in heavy media multitaskers. Psychonomic Bulletin & Review. 20(6). 1274–1281. 152 indexed citations
15.
Koriakin, Taylor A., Mark D. McCurdy, Alison E. Pritchard, et al.. (2013). Classification of intellectual disability using the Wechsler Intelligence Scale for Children: Full Scale IQ or General Abilities Index?. Developmental Medicine & Child Neurology. 55(9). 840–845. 22 indexed citations
16.
McCurdy, Mark D.. (1993). Oral Anticoagulation Monitoring in a Community Pharmacy. American Pharmacy. 33(10). 61–72. 9 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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