Marsha K. Leith

28 total papers · 582 total citations
23 papers, 491 citations indexed

About

Marsha K. Leith is a scholar working on Molecular Biology, Toxicology and Epidemiology. According to data from OpenAlex, Marsha K. Leith has authored 23 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Toxicology and 7 papers in Epidemiology. Recurrent topics in Marsha K. Leith's work include Bioactive Compounds and Antitumor Agents (12 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Influenza Virus Research Studies (6 papers). Marsha K. Leith is often cited by papers focused on Bioactive Compounds and Antitumor Agents (12 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Influenza Virus Research Studies (6 papers). Marsha K. Leith collaborates with scholars based in Canada and United States. Marsha K. Leith's co-authors include Asher Begleiter, Alvin C. Chan, Thomas J. Curphey, Geoffrey P. Doherty, James A. Thliveris, Yohannes Berhane, John Pasick, Matthew Suderman, Helen Kehler and James Neufeld and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and British Journal of Cancer.

In The Last Decade

Marsha K. Leith

23 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Marsha K. Leith	267	145	106	98	60	23	491
Sara Dovrat	206 0.8×	68 0.5×	101 1.0×	28 0.3×	4 0.1×	24	533
T. Gustafsson	288 1.1×	56 0.4×	52 0.5×	124 1.3×	23 0.4×	32	538
Anila Dwivedi	201 0.8×	40 0.3×	15 0.1×	68 0.7×	20 0.3×	32	541
Jennifer M. Pearson	291 1.1×	15 0.1×	44 0.4×	85 0.9×	73 1.2×	22	546
Ching-Yen Lin	220 0.8×	9 0.1×	105 1.0×	28 0.3×	12 0.2×	25	519
Xia Wang	283 1.1×	26 0.2×	45 0.4×	35 0.4×	11 0.2×	38	487
Wanyan Wang	256 1.0×	17 0.1×	25 0.2×	30 0.3×	8 0.1×	16	456
Yang Liu	290 1.1×	65 0.4×	39 0.4×	62 0.6×	5 0.1×	30	516
F Golais	195 0.7×	34 0.2×	87 0.8×	166 1.7×	11 0.2×	32	458
Sai Wu	278 1.0×	10 0.1×	84 0.8×	40 0.4×	5 0.1×	30	534

Countries citing papers authored by Marsha K. Leith

Since Specialization

Citations

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

Fields of papers citing papers by Marsha K. Leith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marsha K. Leith. 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 Marsha K. Leith. The network helps show where Marsha K. Leith may publish in the future.

Co-authorship network of co-authors of Marsha K. Leith

This figure shows the co-authorship network connecting the top 25 collaborators of Marsha K. Leith. A scholar is included among the top collaborators of Marsha K. Leith 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 Marsha K. Leith. Marsha K. Leith 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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