M. E. Conolly

54 papers receiving 2.3k citations

Peers

M. E. Conolly
Comparison fields: 5 of 131
  • Animal Science and Zoology 424
  • Physiology 839
  • Anesthesiology and Pain Medicine 174
  • Pulmonary and Respiratory Medicine 722
  • Pharmacology 339
Replace JL Reid with:
JL Reid United Kingdom
N Svedmyr Sweden
Charles A. Chidsey United States
R.G. Shanks United Kingdom
Robert Ginsburg United States
J. L. McNay United States
B. N. C. Prichard United Kingdom
P. van Brummelen Netherlands
Jean E. Sealey United States
D J Coltart United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by M. E. Conolly

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Conolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. E. Conolly, 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 M. E. Conolly Line = papers co-authored together M. E. Conolly 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 1970234
2 1976180
3 1999179
4 1976176
5
Resistance to -adrenoceptor stimulants (a possible explanation for the rise in ashtma deaths).
1971158
6 1971138
7 1981136
8 1969136
9 1972104
10 196899
11 198298
12 197084
13 198281
14 198174
15 199669
16 197761
17 197059
18 197851
19 197249
20 197147

About M. E. Conolly

M. E. Conolly is a scholar working on Physiology, Molecular Biology, Pharmacology, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), Pharmacological Effects and Assays (8 papers), Receptor Mechanisms and Signaling (7 papers), Analytical Methods in Pharmaceuticals (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Inhalation and Respiratory Drug Delivery (4 papers), Anesthesia and Sedative Agents (3 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Animal Science and Zoology (424 citations), Physiology (839 citations), Anesthesiology and Pain Medicine (174 citations), Pulmonary and Respiratory Medicine (722 citations) and Pharmacology (339 citations). M. E. Conolly has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include C. T. Dollery, D. S. Davies, James W. Paterson, J.K. Greenacre, Ka Kit Hui, Friedrich Kersting, C. F. George, R. G. Cooper, A. Hayes and Donald P. Tashkin. Their work appears in journals such as British Journal of Pharmacology, Journal of Allergy and Clinical Immunology, European Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics and The Lancet.

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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