Jennifer A. McNab
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- Advanced Neuroimaging Techniques and Applications 49
- Advanced MRI Techniques and Applications 38
- MRI in cancer diagnosis 12
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 18
- Neurology top 5%
- Neurological disorders and treatments 8
- Transcranial Magnetic Stimulation Studies 6
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- Bone and Joint Diseases 6
- Biophysics top 5%
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- Fetal and Pediatric Neurological Disorders 8
- Co-authors
- Karla L. MillerLawrence L. WaldThomas WitzelQiyuan TianSaâd JbabdiGwenaëlle DouaudJulien Cohen‐AdadSusie Y. Huang
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jennifer A. McNab
66 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 1.7k
- Cognitive Neuroscience 732
- Neurology 179
- Orthopedics and Sports Medicine 167
- Biophysics 105
Countries citing papers authored by Jennifer A. McNab
This map shows the geographic impact of Jennifer A. McNab'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 A. McNab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. McNab more than expected).
Fields of papers citing papers by Jennifer A. McNab
This network shows the impact of papers produced by Jennifer A. McNab. 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 A. McNab. The network helps show where Jennifer A. McNab may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer A. McNab, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 4 | |
| 13 | 2015 | 72 | |
| 14 | 2015 | 56 | |
| 15 | 2012 | 118 | |
| 16 | 2011 | 56 | |
| 17 | 2011 | 9 | |
| 18 | 2009 | 34 | |
| 19 | 2008 | 33 | |
| 20 | 2004 | 23 |
About Jennifer A. McNab
Jennifer A. McNab is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Cognitive Neuroscience, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (49 papers), Advanced MRI Techniques and Applications (38 papers), Functional Brain Connectivity Studies (18 papers), MRI in cancer diagnosis (12 papers), Neurological disorders and treatments (8 papers), Fetal and Pediatric Neurological Disorders (8 papers), Transcranial Magnetic Stimulation Studies (6 papers) and Bone and Joint Diseases (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Cognitive Neuroscience (732 citations) and Neurology (179 citations). Jennifer A. McNab has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Karla L. Miller, Lawrence L. Wald, Thomas Witzel, Qiyuan Tian, Saâd Jbabdi, Gwenaëlle Douaud, Julien Cohen‐Adad, Susie Y. Huang, Brian L. Edlow and Christoph Leuze. Their work appears in journals such as Nature, Cell and Nature Communications.
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.