Malcolm Begg

2.7k citations
43 papers · 1.6k indexed · h-index 20

Malcolm Begg

43 papers receiving 1.6k citations

Peers

Malcolm Begg
Comparison fields: 5 of 98
  • Sensory Systems 308
  • Pharmacology 451
  • Cellular and Molecular Neuroscience 323
  • Physiology 75
  • Endocrine and Autonomic Systems 100
Replace Hui Dong with:
Hui Dong United States
Véronique Freund‐Michel France
P. F. Mannaioni Italy
Árpád Szabó Hungary
Akiyuki Nishimura Japan
Wouter Everaerts Belgium
Timothy V. Murphy Australia
Yanqing Wang China
Hisayasu Wada Japan
Eugenio Cavalli Italy
Malcolm Begg relative to Hui Dong United States Hui Dong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Malcolm Begg

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Begg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 202112
3 201917
4 201914
5 201697
6 20166
7 201618
8 20144
9 201470
10 201440
11 20147
12 201335
13 201262
14 201112
15 2006105
16 200240
17 200219
18
140P CB1 cannabinoid receptor-mediated activation of K+ current in DDT1 MF-2 cells is entirely dependent on the presence of extracellular Ca2+
19991
19 198319
20 19806

About Malcolm Begg

Malcolm Begg is a scholar working on Sensory Systems, Immunology and Biochemistry, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Channels and Receptors (12 papers), Cannabis and Cannabinoid Research (6 papers), Respiratory and Cough-Related Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Chemokine receptors and signaling (4 papers), Ion channel regulation and function (4 papers), Asthma and respiratory diseases (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Sensory Systems (308 citations), Pharmacology (451 citations) and Cellular and Molecular Neuroscience (323 citations). Malcolm Begg has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Gregory I. Bain, George Kunos, László Offertáler, Pál Pacher, Douglas Osei‐Hyiaman, James H. Liu, Roberto Solari, David House, James E. Pease and Edith M. Hessel. Their work appears in journals such as European Journal of Pharmacology, Pulmonary Pharmacology & Therapeutics, Journal of Pharmacology and Experimental Therapeutics, Biochemical Journal 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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