Michael Carr

51 papers receiving 2.2k citations

Peers

Michael Carr
Comparison fields: 5 of 112
  • Sensory Systems 694
  • Endocrine and Autonomic Systems 168
  • Physiology 611
  • Hematology 215
  • Cellular and Molecular Neuroscience 330
Replace Michele Tognetto with:
Michele Tognetto Italy
Hirotada Katsuya Japan
Thomas L. Pallone United States
Ming‐Chieh Ma Taiwan
Fiona A. Russell United Kingdom
Ingrid M. Garrelds Netherlands
Alexander Brack Germany
Karl‐Erik Andersson Sweden
Sumio Hoka Japan
Shosuke Takahashi Japan
Michael Carr relative to Michele Tognetto Italy Michele Tognetto's profile →
Citations per field
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Michele Tognetto · 1×
Citations per year

Countries citing papers authored by Michael Carr

Since Specialization
Citations

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

Fields of papers citing papers by Michael Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999314
2 2007241
3 2008195
4 2014145
5 2003109
6 200888
7 200286
8 200885
9 201476
10 201170
11 200669
12 201160
13 200157
14 201548
15 201347
16 199644
17 201843
18 200037
19 201636
20 200933

About Michael Carr

Michael Carr is a scholar working on Pulmonary and Respiratory Medicine, Sensory Systems, Physiology, Cellular and Molecular Neuroscience and Surgery, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ion Channels and Receptors (14 papers), Respiratory and Cough-Related Research (12 papers), Asthma and respiratory diseases (8 papers), Ion channel regulation and function (5 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Pain Mechanisms and Treatments (3 papers) and Vagus Nerve Stimulation Research (3 papers). The work is most often cited by research in Sensory Systems (694 citations), Endocrine and Autonomic Systems (168 citations), Physiology (611 citations), Hematology (215 citations) and Cellular and Molecular Neuroscience (330 citations). Michael Carr has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bradley J. Undem, M. Allen McAlexander, Thomas E. Taylor‐Clark, Srinivas Ghatta, Donald W. MacGlashan, R.G. Goldie, Peter J. Henry, Marián Kollárik, Kevin Kwong and B Fong. Their work appears in journals such as Pulmonary Pharmacology & Therapeutics, The Journal of Physiology, PLoS ONE, Environmental Health Perspectives and Plastic & Reconstructive Surgery.

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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