M. E. Conolly

58 papers receiving 2.4k citations

Peers

M. E. Conolly
Comparison fields: 5 of 130
  • Animal Science and Zoology 447
  • Physiology 854
  • Anesthesiology and Pain Medicine 167
  • Pulmonary and Respiratory Medicine 673
  • Pharmacology 360
Replace James W. Paterson with:
James W. Paterson Australia
DG McDevitt United Kingdom
JL Reid United Kingdom
N Svedmyr Sweden
Charles A. Chidsey United States
R.G. Shanks United Kingdom
William A. Pettinger United States
J. L. McNay United States
B. N. C. Prichard United Kingdom
Bengt Åblad Sweden
M. E. Conolly relative to James W. Paterson Australia James W. Paterson's profile →
Citations per field
00.5×1.6×
James W. Paterson · 1×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970244
2 1976195
3 1999193
4 1976191
5
Resistance to -adrenoceptor stimulants (a possible explanation for the rise in ashtma deaths).
1971162
6 1969149
7 1981148
8 1971144
9 1972122
10 1968107
11 1982103
12 197090
13 198286
14 198185
15 199673
16 197766
17 197061
18 197159
19 197855
20 197255

About M. E. Conolly

M. E. Conolly is a scholar working on Physiology, Molecular Biology, Pharmacology, Surgery and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 2.9k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (13 papers), Pharmacological Effects and Assays (8 papers), Receptor Mechanisms and Signaling (7 papers), Analytical Methods in Pharmaceuticals (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Animal Science and Zoology (447 citations), Physiology (854 citations), Anesthesiology and Pain Medicine (167 citations), Pulmonary and Respiratory Medicine (673 citations) and Pharmacology (360 citations). M. E. Conolly has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include C. T. Dollery, D. S. Davies, James W. Paterson, J.K. Greenacre, Ka Kit Hui, Friedrich Kersting, C. F. George, A. Hayes, R. G. Cooper and Donald P. Tashkin. Their work appears in journals such as British Journal of Pharmacology, European Journal of Clinical Pharmacology, The Lancet, Journal of Allergy and Clinical Immunology and Clinical Pharmacology & Therapeutics.

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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