Michelle D. Failla

1.7k total citations
43 papers, 1.2k citations indexed

About

Michelle D. Failla is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Michelle D. Failla has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 13 papers in Psychiatry and Mental health and 12 papers in Neurology. Recurrent topics in Michelle D. Failla's work include Autism Spectrum Disorder Research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Traumatic Brain Injury Research (9 papers). Michelle D. Failla is often cited by papers focused on Autism Spectrum Disorder Research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Traumatic Brain Injury Research (9 papers). Michelle D. Failla collaborates with scholars based in United States, United Kingdom and South Korea. Michelle D. Failla's co-authors include Amy K. Wagner, Yvette P. Conley, Carissa J. Cascio, Akash Goyal, Shannon B. Juengst, Anne C. Ritter, Raj G. Kumar, Zachary J. Williams, Patrick M. Kochanek and Jennifer A. Boles and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michelle D. Failla

39 papers receiving 1.1k citations

Peers

Michelle D. Failla
Shelley C. Heaton United States
Réjean M. Guerriero United States
Jane H. Powell United Kingdom
Kathleen F. Pagulayan United States
Daniel Amen United States
Christian Niyonkuru United States
Mar Ariza Spain
Timothy Ham United Kingdom
Shelley C. Heaton United States
Michelle D. Failla
Citations per year, relative to Michelle D. Failla Michelle D. Failla (= 1×) peers Shelley C. Heaton

Countries citing papers authored by Michelle D. Failla

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Failla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle D. Failla

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

All Works

20 of 20 papers shown
1.
Morgan, Ethan, Brittany E. Punches, & Michelle D. Failla. (2024). Self-Reported Diagnosis of Autism Is Associated With a Lower Likelihood of HIV Testing. JAIDS Journal of Acquired Immune Deficiency Syndromes. 97(4). e6–e9.
2.
3.
Bruehl, Stephen, et al.. (2023). Psychophysics of Pain: A Methodological Introduction. Pain Management Nursing. 24(4). 442–451.
4.
Zoltowski, Alisa R., Michelle D. Failla, E. J. Moana-Filho, et al.. (2023). Differences in temporal profile of brain responses by pleasantness of somatosensory stimulation in autistic individuals. Somatosensory & Motor Research. 42(1). 1–16. 3 indexed citations
5.
Williams, Zachary J., Kacie Dunham, Alisa R. Zoltowski, et al.. (2022). Characterizing Interoceptive Differences in Autism: A Systematic Review and Meta-analysis of Case–control Studies. Journal of Autism and Developmental Disorders. 53(3). 947–962. 29 indexed citations
6.
Monroe, Todd B., et al.. (2022). Study protocol for an integrative theory review of the concept of unidentified pain. BMJ Open. 12(11). e065662–e065662. 1 indexed citations
7.
Monroe, Todd B., et al.. (2022). Increased pain unpleasantness and pain-related fMRI activation in the periaqueductal gray in Alzheimer's disease. SHILAP Revista de lepidopterología. 3. 914473–914473. 3 indexed citations
8.
Williams, Zachary J., Jacob I. Feldman, Michelle D. Failla, et al.. (2021). Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum. Molecular Autism. 12(1). 42–42. 10 indexed citations
9.
Moss, Karen O., Kathy Wright, Alai Tan, et al.. (2021). Race-Related Differences Between and Within Sex to Experimental Thermal Pain in Middle and Older Adulthood: An Exploratory Pilot Analysis. SHILAP Revista de lepidopterología. 2. 780338–780338. 1 indexed citations
10.
Failla, Michelle D., et al.. (2020). Using phecode analysis to characterize co-occurring medical conditions in autism spectrum disorder. Autism. 25(3). 800–811. 11 indexed citations
11.
Noel, Jean‐Paul, Michelle D. Failla, Zachary J. Williams, et al.. (2020). Visual-Tactile Spatial Multisensory Interaction in Adults With Autism and Schizophrenia. Frontiers in Psychiatry. 11. 578401–578401. 22 indexed citations
12.
Failla, Michelle D., et al.. (2020). Policy Implications for Pain in Advanced Alzheimer's Disease. Pain Management Nursing. 22(1). 3–7. 15 indexed citations
13.
Williams, Zachary J., et al.. (2019). Thermal Perceptual Thresholds are typical in Autism Spectrum Disorder but Strongly Related to Intra-individual Response Variability. Scientific Reports. 9(1). 12595–12595. 22 indexed citations
14.
Failla, Michelle D., et al.. (2019). Sex Differences in Associations of Cognitive Function with Perceptions of Pain in Older Adults. Journal of Alzheimer s Disease. 70(3). 715–722. 20 indexed citations
15.
Failla, Michelle D., et al.. (2019). (262) Increased Heat Pain Sensitivity and Pain-Related Anxiety in Individuals with Autism. Journal of Pain. 20(4). S40–S40. 3 indexed citations
16.
Williams, Zachary J., Michelle D. Failla, Katherine Gotham, Tiffany G. Woynaroski, & Carissa J. Cascio. (2018). Psychometric Evaluation of the Short Sensory Profile in Youth with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 48(12). 4231–4249. 53 indexed citations
17.
Failla, Michelle D., Anne C. Ritter, C. Edward Dixon, et al.. (2016). Genetic Variation in the Vesicular Monoamine Transporter: Preliminary Associations With Cognitive Outcomes After Severe Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 32(2). E24–E34. 14 indexed citations
18.
Failla, Michelle D., Joseph H. Ricker, C. Edward Dixon, et al.. (2015). A Dopamine Pathway Gene Risk Score for Cognitive Recovery Following Traumatic Brain Injury: Methodological Considerations, Preliminary Findings, and Interactions With Sex. Journal of Head Trauma Rehabilitation. 31(5). E15–E29. 30 indexed citations
19.
Failla, Michelle D., Megan A. Miller, Joelle M. Scanlon, et al.. (2013). Variants of SLC6A4 in depression risk following severe TBI. Brain Injury. 27(6). 696–706. 30 indexed citations
20.
Goyal, Akash, Michelle D. Failla, Christian Niyonkuru, et al.. (2012). S100b as a Prognostic Biomarker in Outcome Prediction for Patients with Severe Traumatic Brain Injury. Journal of Neurotrauma. 30(11). 946–957. 144 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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