Michael M. Tunney

11.4k citations
193 papers · 7.5k · h-index 47

Impact in

Papers in

Michael M. Tunney

187 papers receiving 7.4k citations

Peers

Michael M. Tunney
Comparison fields: 5 of 160
  • Molecular Medicine 520
  • Pulmonary and Respiratory Medicine 2.8k
  • Periodontics 226
  • Dermatology 432
  • Microbiology 314
Replace Peter A. Lambert with:
Peter A. Lambert United Kingdom
Benjamin A. Lipsky United States
Lorenzo Drago Italy
George P. Tegos United States
Clinton K. Murray United States
André G. Buret Canada
Margaret Ip Hong Kong
Gordon Ramage United Kingdom
Andrej Trampuž Germany
Andrew B. Onderdonk United States
Michael M. Tunney relative to Peter A. Lambert United Kingdom Peter A. Lambert's profile →
Citations per field
00.5×6.7×
Peter A. Lambert · 1×
Citations per year

Countries citing papers authored by Michael M. Tunney

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Tunney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007377
2 1999360
3 2008355
4 2012286
5 1998267
6 2013232
7 2003183
8 2009180
9 2005163
10 1998153
11 2016150
12 2006136
13 2011132
14 2015122
15 2004117
16 2005116
17 2014115
18 1996108
19 2015103
20 199896

About Michael M. Tunney

Michael M. Tunney is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Surgery and Molecular Medicine, having authored 193 papers that have together received 7.5k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (82 papers), Bacterial biofilms and quorum sensing (24 papers), Antibiotic Resistance in Bacteria (16 papers), Orthopedic Infections and Treatments (15 papers), Tracheal and airway disorders (14 papers), Gut microbiota and health (10 papers), Orthopaedic implants and arthroplasty (10 papers) and Photodynamic Therapy Research Studies (9 papers). The work is most often cited by research in Molecular Medicine (520 citations), Pulmonary and Respiratory Medicine (2.8k citations), Periodontics (226 citations), Dermatology (432 citations) and Microbiology (314 citations). Michael M. Tunney has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include J.S. Elborn, Ryan F. Donnelly, Sheila Patrick, Paul A. McCarron, D.F. Gilpin, Gordon Ramage, Sean P. Gorman, James Nixon, Matthew C. Wolfgang and G.G. Einarsson. Their work appears in journals such as Journal of Cystic Fibrosis, European Respiratory Journal, PLoS ONE, Journal of Photochemistry and Photobiology B Biology and Journal of Antimicrobial Chemotherapy.

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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