Rafi U. Haque

988 total citations
12 papers, 455 citations indexed

About

Rafi U. Haque is a scholar working on Cognitive Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Rafi U. Haque has authored 12 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Rafi U. Haque's work include Neural dynamics and brain function (4 papers), Alzheimer's disease research and treatments (4 papers) and Dementia and Cognitive Impairment Research (3 papers). Rafi U. Haque is often cited by papers focused on Neural dynamics and brain function (4 papers), Alzheimer's disease research and treatments (4 papers) and Dementia and Cognitive Impairment Research (3 papers). Rafi U. Haque collaborates with scholars based in United States and Canada. Rafi U. Haque's co-authors include Allan I. Levey, Kareem A. Zaghloul, James J. Lah, Sara K. Inati, Michael J. Kahana, John F. Burke, John H. Wittig, Julio I. Chapeton, Alvincé L. Pongos and Cecelia Manzanares and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Rafi U. Haque

12 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafi U. Haque United States 10 221 92 83 70 68 12 455
Igor O. Korolev United States 8 218 1.0× 130 1.4× 180 2.2× 43 0.6× 48 0.7× 10 557
Tiantian Liu China 13 236 1.1× 67 0.7× 70 0.8× 73 1.0× 80 1.2× 52 531
Kuven Moodley United Kingdom 7 110 0.5× 84 0.9× 90 1.1× 33 0.5× 49 0.7× 15 304
Elena Ratti United States 9 127 0.6× 73 0.8× 29 0.3× 55 0.8× 86 1.3× 18 343
Rodrigo San-Martin Brazil 7 276 1.2× 28 0.3× 70 0.8× 24 0.3× 56 0.8× 9 366
Emma Delhaye Belgium 10 249 1.1× 93 1.0× 78 0.9× 29 0.4× 65 1.0× 24 365
Jack S. Fogarty Australia 12 390 1.8× 78 0.8× 53 0.6× 38 0.5× 15 0.2× 28 721
Mónica Cano Spain 13 482 2.2× 23 0.3× 55 0.7× 57 0.8× 144 2.1× 25 563
Cunlu Xu China 7 357 1.6× 128 1.4× 117 1.4× 52 0.7× 40 0.6× 22 537
Lingyu Liu China 13 93 0.4× 145 1.6× 32 0.4× 57 0.8× 107 1.6× 24 365

Countries citing papers authored by Rafi U. Haque

Since Specialization
Citations

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

Fields of papers citing papers by Rafi U. Haque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafi U. Haque. 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 Rafi U. Haque. The network helps show where Rafi U. Haque may publish in the future.

Co-authorship network of co-authors of Rafi U. Haque

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

All Works

12 of 12 papers shown
1.
Haque, Rafi U., Caroline M Watson, Jiaqi Liu, et al.. (2023). A protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer’s disease. Science Translational Medicine. 15(712). eadg4122–eadg4122. 26 indexed citations
2.
Higginbotham, Lenora, Kathleen Carter, Eric B. Dammer, et al.. (2023). Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. Neurobiology of Disease. 186. 106286–106286. 13 indexed citations
3.
Jiang, Zifan, Salman Seyedi, Rafi U. Haque, et al.. (2022). Automated analysis of facial emotions in subjects with cognitive impairment. PLoS ONE. 17(1). e0262527–e0262527. 27 indexed citations
4.
Xie, Weizhen, et al.. (2021). Pre-existing semantic associations contribute to memorability of visual changes in a scene. Journal of Vision. 21(9). 2209–2209. 1 indexed citations
5.
Haque, Rafi U., Alvincé L. Pongos, Cecelia Manzanares, et al.. (2020). Deep Convolutional Neural Networks and Transfer Learning for Measuring Cognitive Impairment Using Eye-Tracking in a Distributed Tablet-Based Environment. IEEE Transactions on Biomedical Engineering. 68(1). 11–18. 38 indexed citations
6.
Zhou, Maotian, Rafi U. Haque, Eric B. Dammer, et al.. (2020). Targeted mass spectrometry to quantify brain-derived cerebrospinal fluid biomarkers in Alzheimer’s disease. Clinical Proteomics. 17(1). 19–19. 56 indexed citations
7.
Haque, Rafi U., Sara K. Inati, Allan I. Levey, & Kareem A. Zaghloul. (2020). Feedforward prediction error signals during episodic memory retrieval. Nature Communications. 11(1). 6075–6075. 9 indexed citations
8.
Haque, Rafi U. & Allan I. Levey. (2019). Alzheimer’s disease: A clinical perspective and future nonhuman primate research opportunities. Proceedings of the National Academy of Sciences. 116(52). 26224–26229. 68 indexed citations
9.
Haque, Rafi U., Cecelia Manzanares, Alvincé L. Pongos, et al.. (2019). VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's disease. Learning & Memory. 26(3). 93–100. 28 indexed citations
10.
Chapeton, Julio I., Rafi U. Haque, John H. Wittig, Sara K. Inati, & Kareem A. Zaghloul. (2019). Large-Scale Communication in the Human Brain Is Rhythmically Modulated through Alpha Coherence. Current Biology. 29(17). 2801–2811.e5. 75 indexed citations
11.
Haque, Rafi U., et al.. (2015). Cortical Low-Frequency Power and Progressive Phase Synchrony Precede Successful Memory Encoding. Journal of Neuroscience. 35(40). 13577–13586. 21 indexed citations
12.
Burke, John F., et al.. (2015). Decreases in theta and increases in high frequency activity underlie associative memory encoding. NeuroImage. 114. 257–263. 93 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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