Mayank Jog
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
- Neurology 10
- Transcranial Magnetic Stimulation Studies 10
- Vestibular and auditory disorders 2
-
- Advanced MRI Techniques and Applications 9
- Advanced Neuroimaging Techniques and Applications 2
- Co-authors
- Danny J.J. Wang (12 shared papers)Katherine L. Narr (9 shared papers)Kay Jann (8 shared papers)Lirong Yan (6 shared papers)Robert X. Smith (3 shared papers)Roger P. Woods (5 shared papers)Kate Krasileva (3 shared papers)Shruthi Chakrapani (1 shared paper)
- Journals
- Scientific Reports (3 papers)NeuroImage (3 papers)JAMA Network Open (1 paper)Biological Psychiatry (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Mayank Jog
15 papers receiving 322 citations
Peers
Comparison fields: 5 of 52
- Neurology 159
- Cognitive Neuroscience 150
- Radiology, Nuclear Medicine and Imaging 137
- Psychiatry and Mental health 53
- Neurology 52
Countries citing papers authored by Mayank Jog
This map shows the geographic impact of Mayank Jog'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 Mayank Jog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Jog more than expected).
Fields of papers citing papers by Mayank Jog
This network shows the impact of papers produced by Mayank Jog. 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 Mayank Jog. The network helps show where Mayank Jog may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank Jog, 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 | 2015 | 46 | |
| 2 | 2013 | 44 | |
| 3 | 2016 | 41 | |
| 4 | 2015 | 33 | |
| 5 | 2023 | 32 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2017 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 0 |
About Mayank Jog
Mayank Jog is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (10 papers), Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Neuroscience and Neural Engineering (2 papers), Pain Management and Treatment (2 papers), Vestibular and auditory disorders (2 papers) and Attention Deficit Hyperactivity Disorder (1 paper). The work is most often cited by research in Neurology (159 citations), Cognitive Neuroscience (150 citations), Radiology, Nuclear Medicine and Imaging (137 citations), Psychiatry and Mental health (53 citations) and Neurology (52 citations). Mayank Jog has collaborated with scholars based in United States and Russia. Frequent co-authors include Danny J.J. Wang, Katherine L. Narr, Kay Jann, Lirong Yan, Robert X. Smith, Roger P. Woods, Kate Krasileva, Shruthi Chakrapani, Antoni Kubicki and Yoon‐Chung Kim. Their work appears in journals such as Scientific Reports, NeuroImage, JAMA Network Open, Biological Psychiatry and Frontiers in 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.