Michael Marnane

2.9k citations
32 papers · 1.2k indexed · h-index 16

Michael Marnane

30 papers receiving 1.2k citations

Peers

Michael Marnane
Comparison fields: 5 of 99
  • Internal Medicine 99
  • Cardiology and Cardiovascular Medicine 506
  • Epidemiology 654
  • Pulmonary and Respiratory Medicine 541
  • Neurology 199
Replace Niamh Hannon with:
Niamh Hannon Ireland
Séan Murphy Ireland
Dongbeom Song South Korea
Richard Chan Canada
Thomas Jeerakathil Canada
Scott Janis United States
Arvind Chandratheva United Kingdom
Dominick J. H. McCabe United Kingdom
Wendan Tao China
Caroline Lovelock United Kingdom
Michael Marnane relative to Niamh Hannon Ireland Niamh Hannon's profile →
Citations per field
00.5×1.5×2.0×
Niamh Hannon · 1×
Citations per year

Countries citing papers authored by Michael Marnane

Since Specialization
Citations

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

Fields of papers citing papers by Michael Marnane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Marnane. 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 Michael Marnane. The network helps show where Michael Marnane may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael Marnane, 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 Michael Marnane Line = papers co-authored together Michael Marnane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20212
4 20217
5 202131
6 20218
7 20205
8 20207
9 20185
10 20175
11 20161
12 201610
13 201545
14 201420
15 20131
16 2012160
17 201178
18 201091
19 2009176
20 200753

About Michael Marnane

Michael Marnane is a scholar working on Neurology, Epidemiology, Neurology, Pulmonary and Respiratory Medicine and Rehabilitation, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (18 papers), Cerebrovascular and Carotid Artery Diseases (15 papers), Atrial Fibrillation Management and Outcomes (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Stroke Rehabilitation and Recovery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Internal Medicine (99 citations), Cardiology and Cardiovascular Medicine (506 citations), Epidemiology (654 citations), Pulmonary and Respiratory Medicine (541 citations) and Neurology (199 citations). Michael Marnane has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Peter J. Kelly, Áine Merwick, Orla C. Sheehan, Niamh Hannon, Lorraine Kyne, Gillian Horgan, Patricia McCormack, Joseph Duggan, Dawn Harris and Joan T. Moroney. Their work appears in journals such as Stroke, Neurology, Cerebrovascular Diseases, International Journal of Stroke and Journal of Molecular 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.

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