Colm McCabe

2.5k citations
75 papers · 1.7k · h-index 23

Impact in

Papers in

Colm McCabe

70 papers receiving 1.6k citations

Peers

Colm McCabe
Comparison fields: 5 of 75
  • Internal Medicine 134
  • Pulmonary and Respiratory Medicine 814
  • Infectious Diseases 237
  • Cardiology and Cardiovascular Medicine 215
  • Epidemiology 186
Replace David G. Milne with:
David G. Milne New Zealand
Khodr Tello Germany
Todd Bull United States
Mitja Jevnikar France
Goda Choi Netherlands
Michael Thomas Henry Ireland
Laurent Godinas Belgium
Serge Motte Belgium
Athénaïs Boucly France
Caio Júlio César dos Santos Fernandes Brazil
Colm McCabe relative to David G. Milne New Zealand David G. Milne's profile →
Citations per field
00.5×2×4×6×8×9.8×
David G. Milne · 1×
Citations per year

Countries citing papers authored by Colm McCabe

Since Specialization
Citations

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

Fields of papers citing papers by Colm McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004292
2 2020149
3 202092
4 201388
5 201371
6 202165
7 202158
8 201352
9 201843
10 202041
11 202240
12 201839
13 202236
14 201733
15 201833
16 201933
17 202033
18 201132
19 201831
20 201729

About Colm McCabe

Colm McCabe is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine, Complementary and alternative medicine, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (47 papers), Venous Thromboembolism Diagnosis and Management (12 papers), COVID-19 Clinical Research Studies (7 papers), Cardiovascular and exercise physiology (5 papers), Congenital Heart Disease Studies (4 papers), Cardiovascular Function and Risk Factors (3 papers), Respiratory Support and Mechanisms (3 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Internal Medicine (134 citations), Pulmonary and Respiratory Medicine (814 citations), Infectious Diseases (237 citations), Cardiology and Cardiovascular Medicine (215 citations) and Epidemiology (186 citations). Colm McCabe has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Stephen John Wort, Laura Price, Joanna Pepke‐Żaba, Aleksander Kempny, Konstantinos Dimopoulos, Deepa Gopalan, Nazima Pathan, Adeline R. Whitney, Michael L. Levin and Jennifer C. Boldrick. Their work appears in journals such as European Respiratory Journal, Pulmonary Circulation, ERJ Open Research, International Journal of Cardiology and European Heart Journal.

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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