Mary G. George
- Epidemiology top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Rehabilitation top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Neurology top 1%
- Co-authors
- Xin TongElena V. KuklinaEric D. PetersonAmy L. ValderramaBrian L. HohMitchell S.V. ElkindJohn J. ConnorsAllen D. Hamdan
- Topics
- Acute Ischemic Stroke Management (56 papers)Stroke Rehabilitation and Recovery (29 papers)Cerebrovascular and Carotid Artery Diseases (20 papers)
- Partner nations
- United StatesSwedenKenya
In The Last Decade
Mary G. George
100 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Epidemiology 3.2k
- Cardiology and Cardiovascular Medicine 1.7k
- Rehabilitation 1.5k
- Pulmonary and Respiratory Medicine 1.4k
- Neurology 1.1k
Countries citing papers authored by Mary G. George
This map shows the geographic impact of Mary G. George'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 Mary G. George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary G. George more than expected).
Fields of papers citing papers by Mary G. George
This network shows the impact of papers produced by Mary G. George. 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 Mary G. George. The network helps show where Mary G. George may publish in the future.
Co-authorship network of co-authors of Mary G. George
This figure shows the co-authorship network connecting the top 25 collaborators of Mary G. George. A scholar is included among the top collaborators of Mary G. George 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 Mary G. George. Mary G. George is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 48 | |
| 7 | Awareness Regarding Anemia, Gestational Diabetes and Pregnancy Induced Hypertension among Antenatal Women Attending Outpatient Department in a Rural Hospital - | 5 |
| 8 | 26 | |
| 9 | 30 | |
| 10 | 29 | |
| 11 | 65 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 48 | |
| 15 | 15 | |
| 16 | 94 | |
| 17 | 39 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | 17 |
About Mary G. George
Mary G. George is a scholar working on Rehabilitation, Internal Medicine and Epidemiology, having authored 103 papers that have together received 6.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (56 papers), Stroke Rehabilitation and Recovery (29 papers) and Cerebrovascular and Carotid Artery Diseases (20 papers). The work is most often cited by research in Rehabilitation (1.5k citations), Internal Medicine (557 citations) and Epidemiology (3.2k citations). Mary G. George has collaborated with scholars based in United States, Sweden and Kenya. Frequent co-authors include Xin Tong, Elena V. Kuklina, Eric D. Peterson, Amy L. Valderrama, Brian L. Hoh, Mitchell S.V. Elkind, John J. Connors, Allen D. Hamdan, Antonio Culebras and Randall T. Higashida. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.