Kevin Mullane

6.8k citations
90 papers · 5.4k indexed · 2 hit papers · h-index 39

Impact in

Papers in

Kevin Mullane

89 papers receiving 5.1k citations

Hit Papers

Myeloperoxidase activity as a quantitative assessment of neutrophil infiltration into ischemie myocardium 1985 · 858 citations
8581977202619932009250500750

Peers

Kevin Mullane
Comparison fields: 5 of 143
  • Physiology 412
  • Pathology and Forensic Medicine 1.4k
  • Biochemistry 513
  • Developmental Neuroscience 240
  • Physiology 1.3k
Replace Ronald G. Tilton with:
Ronald G. Tilton United States
Benedict R. Lucchesi United States
Rosario Scalia United States
M Condorelli Italy
Allan M. Lefer United States
Karsten Schrör Germany
Lorrie A. Kirshenbaum Canada
Seinosuke Kawashima Japan
Hiroshi Iwao Japan
Francisco Rafael Martins Laurindo Brazil
Kevin Mullane relative to Ronald G. Tilton United States Ronald G. Tilton's profile →
Citations per field
00.5×3.2×
Ronald G. Tilton · 1×
Citations per year

Countries citing papers authored by Kevin Mullane

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Mullane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201865
2 201713
3 201717
4 201525
5 201353
6 201322
7 20132
8 201323
9 2012162
10 201118
11 19979
12 1996123
13 199512
14 199430
15 199311
16 199370
17 19918
18 199029
19 1988100
20 198742

About Kevin Mullane

Kevin Mullane is a scholar working on Biochemistry, Pathology and Forensic Medicine, Pharmacology, Physiology and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (26 papers), Inflammatory mediators and NSAID effects (18 papers), Eicosanoids and Hypertension Pharmacology (17 papers), Cardiac electrophysiology and arrhythmias (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Computational Drug Discovery Methods (7 papers), Receptor Mechanisms and Signaling (7 papers) and Nitric Oxide and Endothelin Effects (6 papers). The work is most often cited by research in Physiology (412 citations), Pathology and Forensic Medicine (1.4k citations), Biochemistry (513 citations), Developmental Neuroscience (240 citations) and Physiology (1.3k citations). Kevin Mullane has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bruce Smith, Rosemary Kraemer, Michael Williams, Salvador Moncada, J. Salmon, Benedict R. Lucchesi, N G Read, David A. Bullough, John R. Vane and William Westlin. Their work appears in journals such as Biochemical Pharmacology, Cardiovascular Research, European Journal of Pharmacology, Prostaglandins and Circulation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026