Jennifer Pacheco

2.5k total citations
21 papers, 1.2k citations indexed

About

Jennifer Pacheco is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Jennifer Pacheco has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Psychiatry and Mental health and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Jennifer Pacheco's work include Functional Brain Connectivity Studies (9 papers), Dementia and Cognitive Impairment Research (4 papers) and Memory and Neural Mechanisms (4 papers). Jennifer Pacheco is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Dementia and Cognitive Impairment Research (4 papers) and Memory and Neural Mechanisms (4 papers). Jennifer Pacheco collaborates with scholars based in United States, Taiwan and Norway. Jennifer Pacheco's co-authors include David M. Schnyer, Susan M. Resnick, W. Todd Maddox, Luigi Ferrucci, Christopher G. Beevers, John E. McGeary, Marissa A. Gorlick, Darrell A. Worthy, C. González and Bruce Fischl and has published in prestigious journals such as Neuron, Journal of Neuroscience and Advanced Functional Materials.

In The Last Decade

Jennifer Pacheco

21 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Pacheco United States 17 651 309 244 236 115 21 1.2k
Mike M. Schmitgen Germany 19 556 0.9× 204 0.7× 209 0.9× 302 1.3× 78 0.7× 59 1.2k
Rumana Chowdhury United Kingdom 16 825 1.3× 167 0.5× 273 1.1× 263 1.1× 321 2.8× 24 1.5k
Michihiko Koeda Japan 16 701 1.1× 315 1.0× 131 0.5× 284 1.2× 97 0.8× 34 1.3k
Emma Knowles United States 23 552 0.8× 212 0.7× 270 1.1× 511 2.2× 70 0.6× 61 1.3k
Geoffrey Chern-Yee Tan United Kingdom 12 773 1.2× 303 1.0× 108 0.4× 205 0.9× 113 1.0× 20 1.3k
Vina M. Goghari Canada 17 564 0.9× 159 0.5× 471 1.9× 467 2.0× 109 0.9× 53 1.2k
Lana Kambeitz‐Ilankovic Germany 19 721 1.1× 280 0.9× 321 1.3× 491 2.1× 95 0.8× 41 1.2k
Snežana Milanović United States 10 1.2k 1.8× 291 0.9× 406 1.7× 356 1.5× 195 1.7× 24 1.6k
Takeshi Asami Japan 22 718 1.1× 319 1.0× 431 1.8× 375 1.6× 74 0.6× 46 1.3k
Lara M. Wierenga Netherlands 18 855 1.3× 277 0.9× 345 1.4× 261 1.1× 72 0.6× 26 1.5k

Countries citing papers authored by Jennifer Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Pacheco. A scholar is included among the top collaborators of Jennifer Pacheco 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 Jennifer Pacheco. Jennifer Pacheco 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.
Pacheco, Jennifer, Hanna J. Wagner, Nikolaus Jork, et al.. (2023). PenTag, a Versatile Platform for Synthesizing Protein‐Polymer Biohybrid Materials. Advanced Functional Materials. 34(35). 5 indexed citations
2.
Pacheco, Jennifer, Marjorie A. Garvey, Christopher S. Sarampote, et al.. (2022). Annual Research Review: The contributions of the RDoC research framework on understanding the neurodevelopmental origins, progression and treatment of mental illnesses. Journal of Child Psychology and Psychiatry. 63(4). 360–376. 47 indexed citations
3.
Sanislow, Charles A., Michele Ferrante, Jennifer Pacheco, Matthew V. Rudorfer, & Sarah E. Morris. (2019). Advancing Translational Research Using NIMH Research Domain Criteria and Computational Methods. Neuron. 101(5). 779–782. 67 indexed citations
4.
Gold, Andrea L., Lauren K. White, Jennifer Pacheco, et al.. (2017). Cortical Thickness and Subcortical Gray Matter Volume in Pediatric Anxiety Disorders. Neuropsychopharmacology. 42(12). 2423–2433. 68 indexed citations
5.
Sanislow, Charles A., Sarah E. Morris, Jennifer Pacheco, & Bruce N. Cuthbert. (2017). The National Institute of Mental Health Research Domain Criteria: An Alternative Framework to Guide Psychopathology Research. Wesleyan University Digital Collections (Wesleyan University). 4 indexed citations
6.
Roy, Snehashis, Aaron Carass, Jennifer Pacheco, et al.. (2016). Temporal filtering of longitudinal brain magnetic resonance images for consistent segmentation. NeuroImage Clinical. 11. 264–275. 4 indexed citations
7.
Kho, Abel, et al.. (2015). Genetics, geocoding, and electronic health records: Health inequalities and genomewide association studies of metabolic and gastrointestinal diseases. 1 indexed citations
8.
González, C., Jennifer Pacheco, Lori L. Beason‐Held, & Susan M. Resnick. (2015). Longitudinal changes in cortical thinning associated with hypertension. Journal of Hypertension. 33(6). 1242–1248. 35 indexed citations
9.
McCarrey, Anna, Jennifer Pacheco, Olga D. Carlson, et al.. (2014). Interleukin-6 is linked to longitudinal rates of cortical thinning in aging. Translational Neuroscience. 5(1). 1–7. 35 indexed citations
10.
Pacheco, Jennifer, Joshua Oon Soo Goh, Michael A. Kraut, Luigi Ferrucci, & Susan M. Resnick. (2014). Greater cortical thinning in normal older adults predicts later cognitive impairment. Neurobiology of Aging. 36(2). 903–908. 69 indexed citations
11.
Pacheco, Jennifer, Christopher G. Beevers, John E. McGeary, & David M. Schnyer. (2012). Memory monitoring performance and PFC activity are associated with 5-HTTLPR genotype in older adults. Neuropsychologia. 50(9). 2257–2270. 16 indexed citations
12.
Glass, Brian D., et al.. (2011). Normal aging and the dissociable prototype learning systems.. Psychology and Aging. 27(1). 120–128. 19 indexed citations
13.
Worthy, Darrell A., Marissa A. Gorlick, Jennifer Pacheco, David M. Schnyer, & W. Todd Maddox. (2011). With Age Comes Wisdom. Psychological Science. 22(11). 1375–1380. 117 indexed citations
14.
Eyler, Lisa T., Elizabeth Prom‐Wormley, Christine Fennema‐Notestine, et al.. (2010). Genetic patterns of correlation among subcortical volumes in humans: Results from a magnetic resonance imaging twin study. Human Brain Mapping. 32(4). 641–653. 42 indexed citations
15.
Maddox, W. Todd, et al.. (2010). Rule-based and information-integration category learning in normal aging. Neuropsychologia. 48(10). 2998–3008. 52 indexed citations
16.
Pacheco, Jennifer, et al.. (2009). Frontal-Limbic White Matter Pathway Associations with the Serotonin Transporter Gene Promoter Region (5-HTTLPR) Polymorphism. Journal of Neuroscience. 29(19). 6229–6233. 117 indexed citations
17.
Rocklage, Matthew D., Victoria J. Williams, Jennifer Pacheco, & David M. Schnyer. (2009). White Matter Differences Predict Cognitive Vulnerability to Sleep Deprivation. SLEEP. 32(8). 1100–1103. 46 indexed citations
18.
Fischl, Bruce, Allison Stevens, Niranjini Rajendran, et al.. (2009). Predicting the location of entorhinal cortex from MRI. NeuroImage. 47(1). 8–17. 78 indexed citations
19.
Kremen, William S., Elizabeth Prom‐Wormley, Matthew S. Panizzon, et al.. (2009). Genetic and environmental influences on the size of specific brain regions in midlife: The VETSA MRI study. NeuroImage. 49(2). 1213–1223. 162 indexed citations
20.
Rimol, Lars M., Matthew S. Panizzon, Christine Fennema‐Notestine, et al.. (2009). Cortical Thickness Is Influenced by Regionally Specific Genetic Factors. Biological Psychiatry. 67(5). 493–499. 108 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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