Fiona R. Macfarlane

558 total citations
24 papers, 259 citations indexed

About

Fiona R. Macfarlane is a scholar working on Modeling and Simulation, Emergency Medical Services and Cell Biology. According to data from OpenAlex, Fiona R. Macfarlane has authored 24 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 6 papers in Emergency Medical Services and 5 papers in Cell Biology. Recurrent topics in Fiona R. Macfarlane's work include Mathematical Biology Tumor Growth (7 papers), Central Venous Catheters and Hemodialysis (6 papers) and Gene Regulatory Network Analysis (4 papers). Fiona R. Macfarlane is often cited by papers focused on Mathematical Biology Tumor Growth (7 papers), Central Venous Catheters and Hemodialysis (6 papers) and Gene Regulatory Network Analysis (4 papers). Fiona R. Macfarlane collaborates with scholars based in Australia, United Kingdom and Italy. Fiona R. Macfarlane's co-authors include Tommaso Lorenzi, Mark A. J. Chaplain, Amanda Ullman, Jessica Schults, Tricia Kleidon, Claire M. Rickard, Rebecca Paterson, Raluca Eftimie, Paul Trayhurn and Kevin J. Painter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Fiona R. Macfarlane

24 papers receiving 251 citations

Peers

Fiona R. Macfarlane
Comparison fields: 5 of 80
  • Emergency Medical Services 101
  • Modeling and Simulation 51
  • Molecular Biology 43
  • Pulmonary and Respiratory Medicine 35
  • Oncology 34
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Citations per field, relative to Fiona R. Macfarlane
Fiona R. Macfarlane · 1×
Citations per year, relative to Fiona R. Macfarlane
Fiona R. Macfarlane · 1×

Countries citing papers authored by Fiona R. Macfarlane

Since Specialization
Citations

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

Fields of papers citing papers by Fiona R. Macfarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona R. Macfarlane. 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 Fiona R. Macfarlane. The network helps show where Fiona R. Macfarlane may publish in the future.

Co-authorship network of co-authors of Fiona R. Macfarlane

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona R. Macfarlane. A scholar is included among the top collaborators of Fiona R. Macfarlane 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 Fiona R. Macfarlane. Fiona R. Macfarlane 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
# Work Indexed citations
1 1
2 1
3 4
4 10
5 17
6 1
7 6
8 1
9 16
10 14
11 11
12 17
13 12
14 35
15 14
16 23
17 1
18 19
19 4
20
The regulation of expression of human beta-globin genes.
7

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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