Arlene Williams

17 total papers · 629 total citations
8 papers, 419 citations indexed

About

Arlene Williams is a scholar working on Health Informatics, Complementary and alternative medicine and Immunology. According to data from OpenAlex, Arlene Williams has authored 8 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health Informatics, 2 papers in Complementary and alternative medicine and 2 papers in Immunology. Recurrent topics in Arlene Williams's work include Biomedical and Engineering Education (2 papers), Complementary and Alternative Medicine Studies (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Arlene Williams is often cited by papers focused on Biomedical and Engineering Education (2 papers), Complementary and Alternative Medicine Studies (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Arlene Williams collaborates with scholars based in Trinidad and Tobago, United States and Canada. Arlene Williams's co-authors include Md Anwarul Azim Majumder, Keerti Singh, Bidyadhar Sa, Uma Gaur, Y Clément, C. E. Seaforth, Ronald Chase, Pradeep Kumar Sahu, Derick Aranda and Omar Zurkiya and has published in prestigious journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Postgraduate Medical Journal and BMC Complementary and Alternative Medicine.

In The Last Decade

Arlene Williams

8 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Arlene Williams	100	91	69	63	57	8	419
Lanting Dai	63 0.6×	34 0.4×	29 0.4×	57 0.9×	5 0.1×	9	462
Rammanohar Puthiyedath	155 1.6×	33 0.4×	32 0.5×	15 0.2×	3 0.1×	19	445
Edith Leclercq	37 0.4×	80 0.9×	45 0.7×	29 0.5×	4 0.1×	15	468
Navid Farahmandian	13 0.1×	29 0.3×	11 0.2×	61 1.0×	9 0.2×	13	452
Lubna Mahmood	14 0.1×	160 1.8×	13 0.2×	35 0.6×	20 0.4×	14	453
Negar Jamshidi	58 0.6×	8 0.1×	40 0.6×	67 1.1×	45 0.8×	16	373
Frederic Schwartz	52 0.5×	76 0.8×	10 0.1×	2 0.0×	96 1.7×	24	474
Junzhi Sun	35 0.3×	48 0.5×	4 0.1×	178 2.8×	16 0.3×	11	475
Jennifer Gold	92 0.9×	158 1.7×	36 0.5×	15 0.2×	13 0.2×	19	423
Nasir Ali Afsar	11 0.1×	71 0.8×	8 0.1×	103 1.6×	17 0.3×	21	410

Countries citing papers authored by Arlene Williams

Since Specialization

Citations

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

Fields of papers citing papers by Arlene Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arlene Williams

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