Mokhtar H. Gado
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Psychiatry and Mental health top 1%
- Neurology top 1%
- Co-authors
- Yvette I. ShelineHelena C. KraemerMark A. MintunJohn G. CsernanskyMarcus E. RaichleLei WangRobert L. GrubbJoseph L. Price
- Topics
- Advanced Neuroimaging Techniques and Applications (22 papers)Functional Brain Connectivity Studies (17 papers)Traumatic Brain Injury and Neurovascular Disturbances (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceAnnals of Internal Medicine
- Partner nations
- United StatesFranceIndia
In The Last Decade
Mokhtar H. Gado
83 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cognitive Neuroscience 1.9k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Cellular and Molecular Neuroscience 1.4k
- Psychiatry and Mental health 1.3k
- Neurology 1.1k
Countries citing papers authored by Mokhtar H. Gado
This map shows the geographic impact of Mokhtar H. Gado'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 Mokhtar H. Gado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mokhtar H. Gado more than expected).
Fields of papers citing papers by Mokhtar H. Gado
This network shows the impact of papers produced by Mokhtar H. Gado. 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 Mokhtar H. Gado. The network helps show where Mokhtar H. Gado may publish in the future.
Co-authorship network of co-authors of Mokhtar H. Gado
This figure shows the co-authorship network connecting the top 25 collaborators of Mokhtar H. Gado. A scholar is included among the top collaborators of Mokhtar H. Gado 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 Mokhtar H. Gado. Mokhtar H. Gado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 151 | |
| 3 | 59 | |
| 4 | 82 | |
| 5 | 111 | |
| 6 | 169 | |
| 7 | 79 | |
| 8 | 375 | |
| 9 | 24 | |
| 10 | 36 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 61 | |
| 14 | 22 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | Comparison of MR and CT Myelography in Imaging the Cervical and Thoracic Spine | 15 |
| 18 | 355 | |
| 19 | 76 | |
| 20 | 32 |
About Mokhtar H. Gado
Mokhtar H. Gado is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience, having authored 84 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (22 papers), Functional Brain Connectivity Studies (17 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). The work is most often cited by research in Behavioral Neuroscience (848 citations), Biological Psychiatry (588 citations) and Developmental Neuroscience (486 citations). Mokhtar H. Gado has collaborated with scholars based in United States, France and India. Frequent co-authors include Yvette I. Sheline, Helena C. Kraemer, Mark A. Mintun, John G. Csernansky, Marcus E. Raichle, Lei Wang, Robert L. Grubb, Joseph L. Price, Michael I. Miller and John O. Eichling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Annals of Internal Medicine.
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.