Dan Madularu

691 total citations
30 papers, 370 citations indexed

About

Dan Madularu is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Dan Madularu has authored 30 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cognitive Neuroscience. Recurrent topics in Dan Madularu's work include Neuroscience and Neuropharmacology Research (11 papers), Advanced MRI Techniques and Applications (9 papers) and Stress Responses and Cortisol (5 papers). Dan Madularu is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Advanced MRI Techniques and Applications (9 papers) and Stress Responses and Cortisol (5 papers). Dan Madularu collaborates with scholars based in Canada, United States and Saudi Arabia. Dan Madularu's co-authors include Craig F. Ferris, Praveen Kulkarni, Jason R. Yee, Jamie Near, Wayne G. Brake, William M. Kenkel, Kelsey Moore, Gabriel A. Devenyi, M. Mallar Chakravarty and Xuezhu Cai and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Dan Madularu

30 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Madularu Canada 13 140 117 89 70 57 30 370
Tina Kroll Germany 12 131 0.9× 248 2.1× 68 0.8× 38 0.5× 71 1.2× 25 543
Scott Gerum United States 9 116 0.8× 116 1.0× 128 1.4× 35 0.5× 62 1.1× 12 418
Murray Bruce Reed Austria 13 69 0.5× 137 1.2× 79 0.9× 29 0.4× 35 0.6× 35 324
Alexander Jatzko Germany 11 135 1.0× 123 1.1× 43 0.5× 71 1.0× 137 2.4× 21 511
Mareen Hoerst Germany 9 251 1.8× 182 1.6× 123 1.4× 42 0.6× 61 1.1× 11 462
Martijn Koevoets Netherlands 7 94 0.7× 131 1.1× 62 0.7× 35 0.5× 48 0.8× 10 320
Kaoru Kobayashi Japan 12 200 1.4× 72 0.6× 107 1.2× 67 1.0× 108 1.9× 25 429
Georg‐Alexander Becker Germany 11 148 1.1× 183 1.6× 80 0.9× 52 0.7× 64 1.1× 32 517
Nuran Tunc‐Skarka Germany 12 273 1.9× 202 1.7× 150 1.7× 63 0.9× 77 1.4× 15 551
Aaron Tan United States 4 120 0.9× 142 1.2× 23 0.3× 29 0.4× 52 0.9× 4 324

Countries citing papers authored by Dan Madularu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Madularu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Madularu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Madularu. A scholar is included among the top collaborators of Dan Madularu 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 Dan Madularu. Dan Madularu 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.
Madularu, Dan, et al.. (2025). SST-DUNet: Smart Swin Transformer and Dense UNet for automated preclinical fMRI skull stripping. Journal of Neuroscience Methods. 423. 110545–110545. 1 indexed citations
2.
Madularu, Dan, et al.. (2025). 3D Wasserstein Generative Adversarial Network with Dense U-Net-Based Discriminator for Preclinical fMRI Denoising. Journal of Imaging Informatics in Medicine. 38(6). 4196–4215. 2 indexed citations
3.
Madularu, Dan, et al.. (2021). Longitudinal characterization of neuroanatomical changes in the Fischer 344 rat brain during normal aging and between sexes. Neurobiology of Aging. 109. 216–228. 4 indexed citations
4.
Madularu, Dan, et al.. (2020). Longitudinal quantification of metabolites and macromolecules reveals age- and sex-related changes in the healthy Fischer 344 rat brain. Neurobiology of Aging. 101. 109–122. 8 indexed citations
5.
Kulkarni, Praveen, Xuezhu Cai, Bruce S. Kristal, et al.. (2020). Characterizing the human APOE epsilon 4 knock-in transgene in female and male rats with multimodal magnetic resonance imaging. Brain Research. 1747. 147030–147030. 11 indexed citations
6.
Devenyi, Gabriel A., et al.. (2020). An MRI-Derived Neuroanatomical Atlas of the Fischer 344 Rat Brain. Scientific Reports. 10(1). 6952–6952. 30 indexed citations
7.
8.
Kulkarni, Praveen, Xuezhu Cai, Shi‐fang Lu, et al.. (2019). Treating head injury using a novel vasopressin 1a receptor antagonist. Neuroscience Letters. 714. 134565–134565. 10 indexed citations
9.
Trivedi, Malav, William M. Kenkel, Kelsey Moore, et al.. (2018). Oxycodone Exposure: A Magnetic Resonance Imaging Study in Response to Acute and Chronic Oxycodone Treatment in Rats. Neuroscience. 398. 88–101. 22 indexed citations
10.
Madularu, Dan, Axel Mathieu, Lauren M. Reynolds, et al.. (2017). A non-invasive restraining system for awake mouse imaging. Journal of Neuroscience Methods. 287. 53–57. 30 indexed citations
11.
Cole, Emily, et al.. (2016). Circadian time-place (or time-route) learning in rats with hippocampal lesions. Neurobiology of Learning and Memory. 136. 236–243. 2 indexed citations
12.
Moore, Kelsey, Dan Madularu, Jason R. Yee, et al.. (2016). BOLD Imaging in Awake Wild-Type and Mu-Opioid Receptor Knock-Out Mice Reveals On-Target Activation Maps in Response to Oxycodone. Frontiers in Neuroscience. 10. 471–471. 26 indexed citations
13.
Madularu, Dan, Praveen Kulkarni, Jason R. Yee, et al.. (2016). High estrogen and chronic haloperidol lead to greater amphetamine-induced BOLD activation in awake, amphetamine-sensitized female rats. Hormones and Behavior. 82. 56–63. 16 indexed citations
14.
Kenkel, William M., Jason R. Yee, Kelsey Moore, et al.. (2016). Functional magnetic resonance imaging in awake transgenic fragile X rats: evidence of dysregulation in reward processing in the mesolimbic/habenular neural circuit. Translational Psychiatry. 6(3). e763–e763. 26 indexed citations
15.
Madularu, Dan, Praveen Kulkarni, Craig F. Ferris, & Wayne G. Brake. (2015). Changes in brain volume in response to estradiol levels, amphetamine sensitization and haloperidol treatment in awake female rats. Brain Research. 1618. 100–110. 12 indexed citations
16.
Madularu, Dan, Jason R. Yee, William M. Kenkel, et al.. (2015). Integration of neural networks activated by amphetamine in females with different estrogen levels: A functional imaging study in awake rats. Psychoneuroendocrinology. 56. 200–212. 20 indexed citations
17.
Madularu, Dan, et al.. (2014). Centrally-administered oxytocin promotes preference for familiar objects at a short delay in ovariectomized female rats. Behavioural Brain Research. 274. 164–167. 5 indexed citations
18.
Madularu, Dan, et al.. (2014). Oxytocin and object preferences in the male prairie vole. Peptides. 61. 88–92. 7 indexed citations
19.
Holahan, Matthew R., Dan Madularu, Erin M. McConnell, Ryan Walsh, & Maria C. DeRosa. (2011). Intra-Accumbens Injection of a Dopamine Aptamer Abates MK-801-Induced Cognitive Dysfunction in a Model of Schizophrenia. PLoS ONE. 6(7). e22239–e22239. 17 indexed citations
20.
Holahan, Matthew R., et al.. (2008). Spatial information processing consequences of DAMGO injections into the dorsal striatum. Neurobiology of Learning and Memory. 90(2). 434–442. 4 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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