Marianne E. Staretz

19 total papers · 474 total citations
16 papers, 406 citations indexed

About

Marianne E. Staretz is a scholar working on Molecular Biology, Toxicology and Organic Chemistry. According to data from OpenAlex, Marianne E. Staretz has authored 16 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Toxicology and 4 papers in Organic Chemistry. Recurrent topics in Marianne E. Staretz's work include Forensic Toxicology and Drug Analysis (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Glutathione Transferases and Polymorphisms (2 papers). Marianne E. Staretz is often cited by papers focused on Forensic Toxicology and Drug Analysis (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Glutathione Transferases and Polymorphisms (2 papers). Marianne E. Staretz collaborates with scholars based in United States, Russia and India. Marianne E. Staretz's co-authors include Stephen S. Hecht, Susan Bane, Shantu Amin, Pratima Bose, Joe A. Vinson, Sharon E. Murphy, Christopher Patten, F. Peter Guengerich, Patrick M. Kenney and Matthew R. Wood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Journal of Medicinal Chemistry.

In The Last Decade

Marianne E. Staretz

16 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
Marianne E. Staretz	196	78	74	65	40	16	406
Elbert L. Myles	148 0.8×	42 0.5×	70 0.9×	49 0.8×	41 1.0×	19	434
Dorothy Lin	231 1.2×	102 1.3×	65 0.9×	41 0.6×	44 1.1×	12	380
Huayang Pan	199 1.0×	70 0.9×	65 0.9×	25 0.4×	33 0.8×	18	480
Xiaohui Zheng	213 1.1×	103 1.3×	44 0.6×	33 0.5×	18 0.5×	24	434
Negar Gharavi	148 0.8×	36 0.5×	51 0.7×	62 1.0×	30 0.8×	11	385
Chi hong B. Chen	231 1.2×	136 1.7×	81 1.1×	64 1.0×	26 0.7×	10	424
Vinothini Govindarajah	197 1.0×	70 0.9×	27 0.4×	37 0.6×	48 1.2×	22	448
Selvaraj Aranganathan	247 1.3×	39 0.5×	37 0.5×	56 0.9×	54 1.4×	13	491
Fengli Xu	216 1.1×	36 0.5×	69 0.9×	42 0.6×	31 0.8×	14	459
Renato Heidor	268 1.4×	80 1.0×	31 0.4×	23 0.4×	41 1.0×	21	452

Countries citing papers authored by Marianne E. Staretz

Since Specialization

Citations

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

Fields of papers citing papers by Marianne E. Staretz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marianne E. Staretz. 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 Marianne E. Staretz. The network helps show where Marianne E. Staretz may publish in the future.

Co-authorship network of co-authors of Marianne E. Staretz

This figure shows the co-authorship network connecting the top 25 collaborators of Marianne E. Staretz. A scholar is included among the top collaborators of Marianne E. Staretz 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 Marianne E. Staretz. Marianne E. Staretz 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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