Sarah J. Coates

48 total papers · 1.1k total citations
34 papers, 621 citations indexed

About

Sarah J. Coates is a scholar working on Infectious Diseases, Health, Toxicology and Mutagenesis and Dermatology. According to data from OpenAlex, Sarah J. Coates has authored 34 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Health, Toxicology and Mutagenesis and 6 papers in Dermatology. Recurrent topics in Sarah J. Coates's work include Climate Change and Health Impacts (8 papers), Dermatological diseases and infestations (5 papers) and Vector-borne infectious diseases (4 papers). Sarah J. Coates is often cited by papers focused on Climate Change and Health Impacts (8 papers), Dermatological diseases and infestations (5 papers) and Vector-borne infectious diseases (4 papers). Sarah J. Coates collaborates with scholars based in United States, Denmark and Australia. Sarah J. Coates's co-authors include Richard D. Granstein, Joseph C. Kvedar, Louise K. Andersen, Aileen Y. Chang, Cristina Thomas, O. Chosidow, Daniel Engelman, Wendemagegn Enbiale, Scott A. Norton and Markus D. Boos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Dermatology and Spinal Cord.

In The Last Decade

Sarah J. Coates

31 papers receiving 611 citations

Author Peers

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

Author						Papers	Cites
Sarah J. Coates	234	162	151	147	102	34	621
Thomas Tenkate	104 0.4×	277 1.7×	71 0.5×	69 0.5×	281 2.8×	54	733
R Ashbolt	173 0.7×	115 0.7×	34 0.2×	50 0.3×	124 1.2×	22	785
Linda Tizek	62 0.3×	274 1.7×	159 1.1×	94 0.6×	51 0.5×	64	607
Cídia Vasconcellos	105 0.4×	122 0.8×	185 1.2×	34 0.2×	31 0.3×	72	663
Michelle McPherson	110 0.5×	81 0.5×	115 0.8×	151 1.0×	13 0.1×	35	615
Pascal Niamba	232 1.0×	139 0.9×	184 1.2×	24 0.2×	11 0.1×	63	586
P Lederer	317 1.4×	31 0.2×	193 1.3×	31 0.2×	43 0.4×	45	757
Hemangi Jerajani	216 0.9×	195 1.2×	254 1.7×	37 0.3×	12 0.1×	65	629
Anne‐Cécile Zoung‐Kanyi Bissek	356 1.5×	48 0.3×	69 0.5×	19 0.1×	45 0.4×	27	609
Jordache Ramjith	130 0.6×	94 0.6×	109 0.7×	21 0.1×	19 0.2×	31	639

Countries citing papers authored by Sarah J. Coates

Since Specialization

Citations

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

Fields of papers citing papers by Sarah J. Coates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Coates. 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 Sarah J. Coates. The network helps show where Sarah J. Coates may publish in the future.

Co-authorship network of co-authors of Sarah J. Coates

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J. Coates. A scholar is included among the top collaborators of Sarah J. Coates 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 Sarah J. Coates. Sarah J. Coates 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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