Michael Carr

54 papers receiving 2.3k citations

Peers

Michael Carr
Comparison fields: 5 of 114
  • Sensory Systems 746
  • Endocrine and Autonomic Systems 186
  • Physiology 671
  • Hematology 218
  • Pulmonary and Respiratory Medicine 593
Replace Kimberly A. Smith with:
Kimberly A. Smith United States
Andrew M. Roberts United States
Hirotada Katsuya Japan
Thomas L. Pallone United States
Ming‐Chieh Ma Taiwan
Stuart Joel Weiss United States
Johann Gross Germany
Ingrid M. Garrelds Netherlands
Fiona Anne Russell United Kingdom
Alexander Brack Germany
Michael Carr relative to Kimberly A. Smith United States Kimberly A. Smith's profile →
Citations per field
00.5×2×4×5.6×
Kimberly A. Smith · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999321
2 2007255
3 2008207
4 2014154
5 2003122
6 200297
7 200893
8 200891
9 201480
10 201175
11 200670
12 201164
13 200157
14 201553
15 199649
16 201347
17 201847
18 202447
19 200037
20 201636

About Michael Carr

Michael Carr is a scholar working on Sensory Systems, Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Neurology, having authored 55 papers that have together received 2.4k 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), Biochemical Analysis and Sensing Techniques (3 papers), Vagus Nerve Stimulation Research (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Sensory Systems (746 citations), Endocrine and Autonomic Systems (186 citations), Physiology (671 citations), Hematology (218 citations) and Pulmonary and Respiratory Medicine (593 citations). Michael Carr has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bradley J. Undem, Michael Allen McAlexander, Thomas E. Taylor‐Clark, Srinivas Ghatta, Marián Kollárik, Donald W. MacGlashan, Peter J. Henry, R.G. Goldie, Kevin Kwong and Thomas M. Cocks. Their work appears in journals such as Pulmonary Pharmacology & Therapeutics, The Journal of Physiology, Plastic & Reconstructive Surgery, Environmental Health Perspectives and Annals of The Royal College of Surgeons of England.

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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