Patricia MacLeod

38 total papers · 405 total citations
30 papers, 232 citations indexed

About

Patricia MacLeod is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Patricia MacLeod has authored 30 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Agronomy and Crop Science and 6 papers in Genetics. Recurrent topics in Patricia MacLeod's work include Milk Quality and Mastitis in Dairy Cows (6 papers), Meat and Animal Product Quality (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Patricia MacLeod is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (6 papers), Meat and Animal Product Quality (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Patricia MacLeod collaborates with scholars based in United States and Canada. Patricia MacLeod's co-authors include M.E. Morgan, Robert A. MacLeod, Joseph P. Brown, Iván Valiela, H Patriquin, Hermine M. Pashayan, Louis Dallaire, H.D. Eaton, G.W. Gander and W. N. Plastridge and has published in prestigious journals such as Science, Journal of Bacteriology and Molecular Microbiology.

In The Last Decade

Patricia MacLeod

28 papers receiving 184 citations

Author Peers

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

Author						Papers	Cites
Patricia MacLeod	93	64	38	27	26	30	232
D.W. Makawiti	57 0.6×	23 0.4×	9 0.2×	10 0.4×	26 1.0×	27	329
Zhenglei Wang	116 1.2×	27 0.4×	14 0.4×	41 1.5×	27 1.0×	24	283
Antonella Di Francesco	113 1.2×	81 1.3×	17 0.4×	45 1.7×	36 1.4×	26	291
Xiaopan Yang	101 1.1×	79 1.2×	13 0.3×	27 1.0×	15 0.6×	16	207
Nguyễn Quang Linh	59 0.6×	18 0.3×	97 2.6×	36 1.3×	18 0.7×	33	271
Taehyung Kwon	88 0.9×	22 0.3×	14 0.4×	20 0.7×	25 1.0×	24	211
Antoine Huguet	86 0.9×	18 0.3×	44 1.2×	24 0.9×	17 0.7×	29	323
Yang Zhang	127 1.4×	15 0.2×	57 1.5×	12 0.4×	69 2.7×	33	294
John Quiñones	59 0.6×	75 1.2×	92 2.4×	66 2.4×	58 2.2×	35	325
Cristina Manis	141 1.5×	73 1.1×	60 1.6×	43 1.6×	77 3.0×	29	321

Countries citing papers authored by Patricia MacLeod

Since Specialization

Citations

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

Fields of papers citing papers by Patricia MacLeod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia MacLeod

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia MacLeod. A scholar is included among the top collaborators of Patricia 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 Patricia MacLeod. Patricia MacLeod 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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