Jeff T. Mohl
Impact in
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- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
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- Colorectal Cancer Screening and Detection
- Global Cancer Incidence and Screening
Papers in
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- Blood Pressure and Hypertension Studies 2
- Cardiovascular Health and Risk Factors 1
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- Neural dynamics and brain function 3
- Visual perception and processing mechanisms 2
- Co-authors
- Jennifer M. Groh (4 shared papers)Elizabeth L. Ciemins (5 shared papers)Lesley‐Ann Miller‐Wilson (1 shared paper)John Pearson (1 shared paper)Surya T. Tokdar (3 shared papers)Winrich A. Freiwald (2 shared papers)Rolando Estrada (1 shared paper)Mary B. Barton (1 shared paper)
- Journals
- JAMA Network Open (2 papers)Journal of Neurophysiology (1 paper)Nature Communications (1 paper)Journal of the American Heart Association (1 paper)eLife (1 paper)
- Partner nations
- United StatesNew ZealandBelgium
In The Last Decade
Jeff T. Mohl
9 papers receiving 144 citations
Peers
Comparison fields: 5 of 44
- Cognitive Neuroscience 63
- Oncology 58
- Sensory Systems 9
- Experimental and Cognitive Psychology 23
- Cellular and Molecular Neuroscience 22
Countries citing papers authored by Jeff T. Mohl
This map shows the geographic impact of Jeff T. Mohl'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 Jeff T. Mohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff T. Mohl more than expected).
Fields of papers citing papers by Jeff T. Mohl
This network shows the impact of papers produced by Jeff T. Mohl. 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 Jeff T. Mohl. The network helps show where Jeff T. Mohl may publish in the future.
Co-authors
The 20 scholars most cited alongside Jeff T. Mohl, 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 | 2023 | 54 | |
| 2 | 2018 | 48 | |
| 3 | 2020 | 17 | |
| 4 | 2024 | 10 | |
| 5 | 2020 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Jeff T. Mohl
Jeff T. Mohl is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Family Practice, Geriatrics and Gerontology and Oncology, having authored 10 papers that have together received 145 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Visual perception and processing mechanisms (2 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Blood Pressure and Hypertension Studies (2 papers), Colorectal Cancer Screening and Detection (2 papers), Global Cancer Incidence and Screening (2 papers), Medication Adherence and Compliance (2 papers) and Cardiovascular Health and Risk Factors (1 paper). The work is most often cited by research in Cognitive Neuroscience (63 citations), Oncology (58 citations), Sensory Systems (9 citations), Experimental and Cognitive Psychology (23 citations) and Cellular and Molecular Neuroscience (22 citations). Jeff T. Mohl has collaborated with scholars based in United States, New Zealand and Belgium. Frequent co-authors include Jennifer M. Groh, Elizabeth L. Ciemins, Lesley‐Ann Miller‐Wilson, John Pearson, Surya T. Tokdar, Winrich A. Freiwald, Rolando Estrada, Mary B. Barton, Robert A. Smith and Carlos A. Moreno. Their work appears in journals such as JAMA Network Open, Journal of Neurophysiology, Nature Communications, Journal of the American Heart Association and eLife.
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.