Caitlin S. MacLeod

504 citations
20 papers · 328 indexed · h-index 10
Topics
Infectious Aortic and Vascular Conditions (2 papers)Cardiac electrophysiology and arrhythmias (2 papers)Antibiotics Pharmacokinetics and Efficacy (2 papers)

In The Last Decade

Caitlin S. MacLeod

15 papers receiving 310 citations

Peers

Caitlin S. MacLeod
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 101
  • Social Psychology 58
  • Cognitive Neuroscience 47
  • Neurology 46
  • Molecular Biology 35
Replace José Manuel García López with:
José Manuel García López Spain
J. D. Robertson United States
Xiujie Gao China
Rita A. Cardoso Brazil
Agnieszka Cudnoch-Jędrzejewska Poland
W. G. Forssmann Germany
Takuma Harada Japan
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Annie Ting Gee Chiu China
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Caitlin S. MacLeod relative to José Manuel García López Spain José Manuel García López's profile →
Citations per field
00.5×9.2×
José Manuel García López · 1×
Citations per year

Countries citing papers authored by Caitlin S. MacLeod

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin S. MacLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin S. MacLeod. 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 Caitlin S. MacLeod. The network helps show where Caitlin S. MacLeod may publish in the future.

Co-authorship network of co-authors of Caitlin S. MacLeod

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin S. MacLeod. A scholar is included among the top collaborators of Caitlin S. MacLeod based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caitlin S. MacLeod. Caitlin S. MacLeod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 0
6 0
7 7
8 2
9 11
10 9
11 21
12 18
13
Lack of significant pharmacodynamic interaction between telcagepant 600 mg and sumatriptan 100 mg
5
14 2
15 120
16 15
17 76
18 10
19
Practical concepts of drug absorption, distribution and loss.
12
20
Comparative bioavailability of three brands of ampicillin.
17

About Caitlin S. MacLeod

Caitlin S. MacLeod is a scholar working on Virology, Molecular Medicine and Oncology, having authored 20 papers that have together received 328 indexed citations. Recurring topics across this work include Infectious Aortic and Vascular Conditions (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Neurology (46 citations), Cardiology and Cardiovascular Medicine (101 citations) and Developmental Biology (9 citations). Caitlin S. MacLeod has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter Clarkson, Thomas M. MacDonald, Allan D. Struthers, A. A O Naas, Donald P. Zarowny, J Ruedy, Harvey Rabin, Nigel Wheeldon, Richard O. Davies and Haiying Sun. Their work appears in journals such as European Heart Journal, Clinical Pharmacology & Therapeutics and Clinical Science.

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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