Melissa Naylor

634 total citations
18 papers, 358 citations indexed

About

Melissa Naylor is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Melissa Naylor has authored 18 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 4 papers in Genetics. Recurrent topics in Melissa Naylor's work include Genetic Associations and Epidemiology (4 papers), Functional Brain Connectivity Studies (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Melissa Naylor is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Functional Brain Connectivity Studies (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Melissa Naylor collaborates with scholars based in United States, Germany and Netherlands. Melissa Naylor's co-authors include Guillermo Cecchi, Elif Eyigöz, Sachin Mathur, Mar Santamaria, Emily Slade, Randy L. Gollub, Vince D. Calhoun, Stefan Ehrlich, Christoph Lange and Scott T. Weiss and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Melissa Naylor

17 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Naylor United States 9 149 119 50 50 45 18 358
Tim Hahn Germany 13 242 1.6× 101 0.8× 35 0.7× 81 1.6× 56 1.2× 35 520
Seyed Amir Hossein Batouli Iran 13 252 1.7× 91 0.8× 33 0.7× 109 2.2× 14 0.3× 59 493
Sanne Koops Netherlands 13 235 1.6× 196 1.6× 24 0.5× 36 0.7× 23 0.5× 34 465
Zhongwei Guo China 13 252 1.7× 121 1.0× 39 0.8× 118 2.4× 9 0.2× 32 417
Amalia Guerrero‐Pedraza Spain 10 212 1.4× 111 0.9× 23 0.5× 102 2.0× 20 0.4× 26 344
Takamitsu Shimada Japan 16 171 1.1× 209 1.8× 71 1.4× 67 1.3× 15 0.3× 29 549
Kathryn I. Alpert United States 14 222 1.5× 163 1.4× 33 0.7× 139 2.8× 12 0.3× 17 486
Nikhil Bhagwat Canada 10 176 1.2× 111 0.9× 24 0.5× 115 2.3× 76 1.7× 24 412
Kelly M. Spoon United States 11 86 0.6× 77 0.6× 23 0.5× 22 0.4× 25 0.6× 14 347
David Mothersill Ireland 13 371 2.5× 188 1.6× 75 1.5× 176 3.5× 23 0.5× 30 670

Countries citing papers authored by Melissa Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Naylor

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

All Works

18 of 18 papers shown
2.
Hammad, Tarek A., et al.. (2025). Exploring the complexities of disproportionality analysis in pharmacovigilance: reflections on the READUS-PV guideline and a call to action. Frontiers in Pharmacology. 16. 1573353–1573353. 3 indexed citations
3.
Dahan, Albert, Yaming Hang, Hong Lu, et al.. (2025). TAK-925 (Danavorexton), an Orexin Receptor 2 Agonist, Reduces Opioid-induced Respiratory Depression and Sedation without Affecting Analgesia in Healthy Men. Anesthesiology. 142(4). 628–638. 2 indexed citations
4.
Mignot, Emmanuel, Richard Bogan, Hélène A. Emsellem, et al.. (2023). Safety and pharmacodynamics of a single infusion of danavorexton in adults with idiopathic hypersomnia. SLEEP. 46(9). 9 indexed citations
5.
Balice‐Gordon, Rita J., G.D. Honey, Christopher H. Chatham, et al.. (2020). A Neurofunctional Domains Approach to Evaluate D1/D5 Dopamine Receptor Partial Agonism on Cognition and Motivation in Healthy Volunteers With Low Working Memory Capacity. The International Journal of Neuropsychopharmacology. 23(5). 287–299. 9 indexed citations
6.
Eyigöz, Elif, Sachin Mathur, Mar Santamaria, Guillermo Cecchi, & Melissa Naylor. (2020). Linguistic markers predict onset of Alzheimer's disease. EClinicalMedicine. 28. 100583–100583. 101 indexed citations
7.
Slade, Emily & Melissa Naylor. (2020). A fair comparison of tree‐based and parametric methods in multiple imputation by chained equations. Statistics in Medicine. 39(8). 1156–1166. 37 indexed citations
8.
Arce, Estíbaliz, Rita J. Balice‐Gordon, Sridhar Duvvuri, et al.. (2019). A novel approach to evaluate the pharmacodynamics of a selective dopamine D1/D5 receptor partial agonist (PF-06412562) in patients with stable schizophrenia. Journal of Psychopharmacology. 33(10). 1237–1247. 11 indexed citations
9.
Ramos, Vesper, Melissa Naylor, Charmaine Demanuele, et al.. (2018). Wearable Inertial Sensor Technology Produces Endpoints with Good Reliability in Healthy Volunteers and Can Detect Changes in Parkinson Disease Patients with Levodopa (P6.086). Neurology. 90(15_supplement). 3 indexed citations
10.
Ramos, Vesper, Melissa Naylor, Charmaine Demanuele, et al.. (2018). T153. Wearable inertial sensors produce reliable endpoints in healthy volunteers and detect levodopa -induced changes in Parkinson’s disease patients. Clinical Neurophysiology. 129. e61–e61. 2 indexed citations
11.
Anand, Vibha, Erhan Bilal, Vesper Ramos, et al.. (2018). F62. Automatic detection of ON/OFF states in Parkinson disease patients using wearable inertial sensors. Clinical Neurophysiology. 129. e90–e90. 2 indexed citations
12.
Geisler, Daniel, Esther Walton, Melissa Naylor, et al.. (2015). Brain structure and function correlates of cognitive subtypes in schizophrenia. Psychiatry Research Neuroimaging. 234(1). 74–83. 62 indexed citations
13.
Fung, Wai Lun Alan, Melissa Naylor, David A. Bennett, Christoph Lange, & Deborah Blacker. (2013). Principal components methods for narrow‐sense heritability in the analysis of multidimensional longitudinal cognitive phenotypes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(7). 770–778. 1 indexed citations
14.
Naylor, Melissa, Valerie A. Cardenas, Duygu Tosun, et al.. (2013). Voxelwise multivariate analysis of multimodality magnetic resonance imaging. Human Brain Mapping. 35(3). 831–846. 10 indexed citations
15.
Naylor, Melissa, Scott T. Weiss, & Christoph Lange. (2010). A Bayesian approach to genetic association studies with family‐based designs. Genetic Epidemiology. 34(6). 569–574. 3 indexed citations
16.
Naylor, Melissa, Xihong Lin, Scott T. Weiss, Benjamin A. Raby, & Christoph Lange. (2010). Using Canonical Correlation Analysis to Discover Genetic Regulatory Variants. PLoS ONE. 5(5). e10395–e10395. 32 indexed citations
17.
Ehrlich, Stefan, Eric M. Morrow, Joshua L. Roffman, et al.. (2009). The COMT Val108/158Met polymorphism and medial temporal lobe volumetry in patients with schizophrenia and healthy adults. NeuroImage. 53(3). 992–1000. 66 indexed citations
18.
Naylor, Melissa, Scott T. Weiss, & Christoph Lange. (2009). Recommendations for using standardised phenotypes in genetic association studies. Human Genomics. 3(4). 308–308. 5 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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