Catriona Macfarlane

11 total papers · 1.1k total citations
8 papers, 710 citations indexed

About

Catriona Macfarlane is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Catriona Macfarlane has authored 8 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Catriona Macfarlane's work include Chromosomal and Genetic Variations (6 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA and protein synthesis mechanisms (3 papers). Catriona Macfarlane is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA and protein synthesis mechanisms (3 papers). Catriona Macfarlane collaborates with scholars based in United Kingdom, United States and South Africa. Catriona Macfarlane's co-authors include Richard M. Badge, John V. Moran, Christine R. Beck, Maika Malig, Evan E. Eichler, Jeffrey M. Kidd, Peter Simmonds, Raheleh Rahbari, Thomas W. Sheahan and M. J. Jarvis and has published in prestigious journals such as Cell, Nucleic Acids Research and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Catriona Macfarlane

8 papers receiving 697 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Catriona Macfarlane	555	454	127	40	30	8	710
Scott W. Van Arsdell	759 1.4×	160 0.4×	83 0.7×	45 1.1×	4 0.1×	10	881
Tanfis I. Alam	625 1.1×	76 0.2×	108 0.9×	42 1.1×	4 0.1×	11	792
Thomas D. Webster	620 1.1×	197 0.4×	294 2.3×	20 0.5×	2 0.1×	8	753
M Imai	694 1.3×	216 0.5×	47 0.4×	15 0.4×	3 0.1×	12	894
Gita Seal	596 1.1×	57 0.1×	66 0.5×	25 0.6×	6 0.2×	18	760
Christine Costigan	840 1.5×	192 0.4×	55 0.4×	10 0.3×	2 0.1×	8	876
L. Rowen	592 1.1×	93 0.2×	365 2.9×	72 1.8×	2 0.1×	12	793
Stephen W. Buck	620 1.1×	126 0.3×	36 0.3×	22 0.6×	3 0.1×	9	774
Joan Pedersen-Lane	684 1.2×	31 0.1×	153 1.2×	47 1.2×	8 0.3×	17	853
J.P. LePennec	632 1.1×	72 0.2×	350 2.8×	69 1.7×	2 0.1×	8	899

Countries citing papers authored by Catriona Macfarlane

Since Specialization

Citations

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

Fields of papers citing papers by Catriona Macfarlane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catriona Macfarlane

This figure shows the co-authorship network connecting the top 25 collaborators of Catriona Macfarlane. A scholar is included among the top collaborators of Catriona 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 Catriona Macfarlane. Catriona Macfarlane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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