Ursula Green
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Neuroscience of respiration and sleep
- Circadian rhythm and melatonin
Papers in
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Jochen K. Lennerz (5 shared papers)William Renthal (1 shared paper)Mengyi Xu (1 shared paper)Jun Zhao (1 shared paper)Jia Li (1 shared paper)James R. Stone (1 shared paper)Shamsuddin A. Bhuiyan (1 shared paper)Dan Levy (1 shared paper)
- Journals
- International Journal of Molecular Sciences (1 paper)Modern Pathology (1 paper)npj Digital Medicine (1 paper)Neuron (1 paper)Assessment & Evaluation in Higher Education (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Ursula Green
6 papers receiving 132 citations
Ursula Green's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 8
- Endocrine and Autonomic Systems 21
- Sensory Systems 12
- Neurology 19
- Psychiatry and Mental health 30
Countries citing papers authored by Ursula Green
This map shows the geographic impact of Ursula Green'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 Ursula Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Green more than expected).
Fields of papers citing papers by Ursula Green
This network shows the impact of papers produced by Ursula Green. 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 Ursula Green. The network helps show where Ursula Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Green, 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 | Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine Hit paper breakdown → | 2022 | 97 |
| 2 | 2016 | 13 | |
| 3 | 2022 | 12 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 5 | |
| 6 | Pioneering a Peer Review Initiative: Students as Colleagues in the Review of Teaching Practices | 2016 | 2 |
| 7 | 2022 | 0 |
About Ursula Green
Ursula Green is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health, Sensory Systems, Radiology, Nuclear Medicine and Imaging and Education, having authored 7 papers that have together received 135 indexed citations. Recurring topics across this work include Higher Education Practises and Engagement (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Olfactory and Sensory Function Studies (2 papers), Evaluation of Teaching Practices (2 papers), Biomedical Ethics and Regulation (1 paper), Visual perception and processing mechanisms (1 paper), Migraine and Headache Studies (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (8 citations), Endocrine and Autonomic Systems (21 citations), Sensory Systems (12 citations), Neurology (19 citations) and Psychiatry and Mental health (30 citations). Ursula Green has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jochen K. Lennerz, William Renthal, Mengyi Xu, Jun Zhao, Jia Li, James R. Stone, Shamsuddin A. Bhuiyan, Dan Levy, Randall J. Cohrs and Lite Yang. Their work appears in journals such as International Journal of Molecular Sciences, Modern Pathology, npj Digital Medicine, Neuron and Assessment & Evaluation in Higher Education.
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.