Minjie Wu
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 14
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- Advanced Neuroimaging Techniques and Applications 18
- Advanced MRI Techniques and Applications 12
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 9
- Biological Psychiatry top 10%
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- Menopause: Health Impacts and Treatments 7
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- Medical Image Segmentation Techniques 5
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- Stress Responses and Cortisol 4
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- Estrogen and related hormone effects 4
- Co-authors
- Howard AizensteinCharles F. ReynoldsMeryl A. ButtersCameron S. CarterCaterina RosanoCarmen AndreescuPilar López-GarcíaCarolyn C. Meltzer
- Journals
- NeuroImage (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Neurology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Minjie Wu
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 675
- Radiology, Nuclear Medicine and Imaging 546
- Psychiatry and Mental health 338
- Biological Psychiatry 55
- Experimental and Cognitive Psychology 235
Countries citing papers authored by Minjie Wu
This map shows the geographic impact of Minjie Wu'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 Minjie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjie Wu more than expected).
Fields of papers citing papers by Minjie Wu
This network shows the impact of papers produced by Minjie Wu. 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 Minjie Wu. The network helps show where Minjie Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minjie Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 29 | |
| 15 | 2018 | 7 | |
| 16 | 2016 | 52 | |
| 17 | 2011 | 120 | |
| 18 | 2007 | 30 | |
| 19 | 2007 | 111 | |
| 20 | 2006 | 167 |
About Minjie Wu
Minjie Wu is a scholar working on Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (18 papers), Functional Brain Connectivity Studies (14 papers), Advanced MRI Techniques and Applications (12 papers), Dementia and Cognitive Impairment Research (9 papers), Menopause: Health Impacts and Treatments (7 papers), Medical Image Segmentation Techniques (5 papers), Stress Responses and Cortisol (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cognitive Neuroscience (675 citations), Radiology, Nuclear Medicine and Imaging (546 citations) and Psychiatry and Mental health (338 citations). Minjie Wu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Howard Aizenstein, Charles F. Reynolds, Meryl A. Butters, Cameron S. Carter, Caterina Rosano, Carmen Andreescu, Pilar López-García, Carolyn C. Meltzer, Shaolin Yang and Lisa H. Lu. Their work appears in journals such as NeuroImage, The Journal of Clinical Endocrinology & Metabolism and Neurology.
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.