Dan Madularu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Neuroscience and Neuropharmacology Research 11
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- Advanced MRI Techniques and Applications 9
- Co-authors
- Craig F. Ferris (15 shared papers)Praveen Kulkarni (12 shared papers)Jason R. Yee (8 shared papers)Jamie Near (9 shared papers)Wayne G. Brake (4 shared papers)William M. Kenkel (5 shared papers)Kelsey Moore (4 shared papers)Gabriel A. Devenyi (5 shared papers)
- Journals
- Brain Research (3 papers)Scientific Reports (2 papers)Neurobiology of Learning and Memory (2 papers)Magnetic Resonance in Medicine (2 papers)European Journal of Neuroscience (2 papers)
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Dan Madularu
30 papers receiving 368 citations
Peers
Comparison fields: 5 of 74
- Behavioral Neuroscience 36
- Biological Psychiatry 21
- Cellular and Molecular Neuroscience 140
- Cognitive Neuroscience 117
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Dan Madularu
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
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-authors
The 25 scholars most cited alongside Dan Madularu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 30 | |
| 2 | 2020 | 30 | |
| 3 | 2016 | 26 | |
| 4 | 2016 | 26 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2022 | 22 | |
| 8 | 2015 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2011 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2021 | 7 |
About Dan Madularu
Dan Madularu is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Behavioral Neuroscience and Physiology, having authored 30 papers that have together received 370 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Advanced MRI Techniques and Applications (9 papers), Stress Responses and Cortisol (5 papers), Functional Brain Connectivity Studies (5 papers), Memory and Neural Mechanisms (3 papers), Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine regulation and behavior (3 papers) and Menopause: Health Impacts and Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (36 citations), Biological Psychiatry (21 citations), Cellular and Molecular Neuroscience (140 citations), Cognitive Neuroscience (117 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Dan Madularu has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent 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. Their work appears in journals such as Brain Research, Scientific Reports, Neurobiology of Learning and Memory, Magnetic Resonance in Medicine and European Journal of Neuroscience.
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.