Michael Slack

60 papers receiving 1.1k citations

Peers

Michael Slack
Comparison fields: 5 of 56
  • Epidemiology 646
  • Radiology, Nuclear Medicine and Imaging 349
  • Cardiology and Cardiovascular Medicine 302
  • Pulmonary and Respiratory Medicine 375
  • Anesthesiology and Pain Medicine 35
Replace Virginie Lambert with:
Virginie Lambert France
Thomas J. Forbes United States
Phillip Moore United States
Jozef Mašura Slovakia
A B Houston United Kingdom
Diego Porras United States
Basil D. Thanopoulos Greece
Ruchira Garg United States
Hyde M. Russell United States
Raymond T. Fedderly United States
Michael Slack relative to Virginie Lambert France Virginie Lambert's profile →
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Citations per year

Countries citing papers authored by Michael Slack

Since Specialization
Citations

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

Fields of papers citing papers by Michael Slack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993264
2 1994197
3 2010119
4 200566
5 199550
6 200440
7 200234
8 200932
9 200028
10 201027
11 201122
12 201319
13 201118
14 201015
15 200613
16 201012
17 201412
18 201311
19
A Classification Theorem for Homotopy Commutative H-Spaces With Finitely Generated Mod 2 Cohomology Rings
199111
20 201410

About Michael Slack

Michael Slack is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Mathematical Physics, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Cardiac Valve Diseases and Treatments (10 papers), Homotopy and Cohomology in Algebraic Topology (9 papers), Advanced Topics in Algebra (8 papers), Algebraic structures and combinatorial models (8 papers), Cardiac Structural Anomalies and Repair (7 papers), Cardiac Arrhythmias and Treatments (7 papers) and Tracheal and airway disorders (6 papers). The work is most often cited by research in Epidemiology (646 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Cardiology and Cardiovascular Medicine (302 citations), Pulmonary and Respiratory Medicine (375 citations) and Anesthesiology and Pain Medicine (35 citations). Michael Slack has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Martin P. OʼLaughlin, Ronald G. Grifka, James E. Lock, C E Mullins, Stanton B. Perry, William C. Kirby, Lily George, John W. Moore, Patrick Cambier and Robert L. Spicer. Their work appears in journals such as Catheterization and Cardiovascular Interventions, JACC: Cardiovascular Interventions, Circulation, Journal of Cardiovascular Magnetic Resonance and Journal of the American College of Cardiology.

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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