Marilyn S. Arnott

10 total papers · 501 total citations
9 papers, 425 citations indexed

About

Marilyn S. Arnott is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pharmacology. According to data from OpenAlex, Marilyn S. Arnott has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Pharmacology. Recurrent topics in Marilyn S. Arnott's work include Pharmacogenetics and Drug Metabolism (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Occupational and environmental lung diseases (2 papers). Marilyn S. Arnott is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Occupational and environmental lung diseases (2 papers). Marilyn S. Arnott collaborates with scholars based in United States. Marilyn S. Arnott's co-authors include Darrell N. Ward, Don R. Barnett, T H Lee, Regine E. Hay, B H Bowman, Alexander Kurosky, W M Fitch, A. Clark Griffin, Maryce M. Jacobs and Naomi R. Wray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Cancer Letters.

In The Last Decade

Marilyn S. Arnott

9 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Marilyn S. Arnott	183	103	86	52	44	9	425
Simona Iacobacci	146 0.8×	79 0.8×	188 2.2×	55 1.1×	34 0.8×	9	454
Fabiola Giannerini	189 1.0×	59 0.6×	34 0.4×	115 2.2×	20 0.5×	14	466
Ahmed Abdur Rehman	196 1.1×	40 0.4×	34 0.4×	44 0.8×	36 0.8×	12	480
Dinorah Leyva‐Illades	122 0.7×	42 0.4×	123 1.4×	24 0.5×	39 0.9×	13	475
Robin S. Jones	157 0.9×	81 0.8×	31 0.4×	40 0.8×	18 0.4×	20	380
A. Kappas	253 1.4×	68 0.7×	23 0.3×	39 0.8×	31 0.7×	15	485
Danila Di Giuseppe	160 0.9×	34 0.3×	39 0.5×	50 1.0×	7 0.2×	14	367
Alan E. Brandt	199 1.1×	56 0.5×	36 0.4×	21 0.4×	20 0.5×	13	410
A. T. Ness	110 0.6×	98 1.0×	35 0.4×	75 1.4×	11 0.3×	13	393
Berta Schulz	264 1.4×	35 0.3×	29 0.3×	62 1.2×	56 1.3×	8	477

Countries citing papers authored by Marilyn S. Arnott

Since Specialization

Citations

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

Fields of papers citing papers by Marilyn S. Arnott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn S. Arnott

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn S. Arnott. A scholar is included among the top collaborators of Marilyn S. Arnott 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 Marilyn S. Arnott. Marilyn S. Arnott 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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