M.F. Giles

2.3k citations
6 papers · 1.7k indexed · 2 hit papers · h-index 6

M.F. Giles

6 papers receiving 1.6k citations

Hit Papers

Population-based study of event-rate, incidence, case fat...7102004202620112018250500750

Peers

M.F. Giles
Comparison fields: 5 of 101
  • Rehabilitation 345
  • Internal Medicine 167
  • Epidemiology 1.1k
  • Cardiology and Cardiovascular Medicine 552
  • Neurology 295
Replace Jae‐Kwan Cha with:
Jae‐Kwan Cha South Korea
Robert Gan Singapore
Kevin M. Barrett United States
Robyn J. Broadhurst Australia
J.V. Nixon United States
Z Mehta United Kingdom
Felipe De Los Rios La Rosa United States
Peter Pollak United States
Francesco Corea Italy
Edgar J. Kenton United States
M.F. Giles relative to Jae‐Kwan Cha South Korea Jae‐Kwan Cha's profile →
Citations per field
00.5×1.5×
Jae‐Kwan Cha · 1×
Citations per year

Countries citing papers authored by M.F. Giles

Since Specialization
Citations

This map shows the geographic impact of M.F. Giles'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 M.F. Giles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.F. Giles more than expected).

Fields of papers citing papers by M.F. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.F. Giles. 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 M.F. Giles. The network helps show where M.F. Giles may publish in the future.

Co-authorship network

The 17 scholars most cited alongside M.F. Giles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.F. Giles Line = papers co-authored together M.F. Giles links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 200850
2 200613
3
Population-based study of event-rate, incidence, case fatality, and mortality for all acute vascular events in all arterial territories (Oxford Vascular Study)breakdown →
2005710
4 200515
5
Change in stroke incidence, mortality, case-fatality, severity, and risk factors in Oxfordshire, UK from 1981 to 2004 (Oxford Vascular Study)breakdown →
2004815
6 200482

About M.F. Giles

M.F. Giles is a scholar working on Epidemiology, Rehabilitation, Statistics, Probability and Uncertainty, Cardiology and Cardiovascular Medicine and Neurology, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Clinical practice guidelines implementation (1 paper), Meta-analysis and systematic reviews (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Stroke Rehabilitation and Recovery (1 paper), Acute Myocardial Infarction Research (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Rehabilitation (345 citations), Internal Medicine (167 citations), Epidemiology (1.1k citations), Cardiology and Cardiovascular Medicine (552 citations) and Neurology (295 citations). M.F. Giles has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include P M Rothwell, David Mant, Philip Anslow, John Bamford, C P Warlow, Andrew Farmer, M. J. S. Dennis, Catherine Sackley, Phil Edwards and Z Mehta. Their work appears in journals such as The Lancet, Journal of Emergency Medicine, Stroke, ACC Current Journal Review and BMJ.

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.

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