Nia Williams

21 total papers · 1.1k total citations
9 papers, 121 citations indexed

About

Nia Williams is a scholar working on General Health Professions, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Nia Williams has authored 9 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 2 papers in Clinical Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Nia Williams's work include Health Literacy and Information Accessibility (1 paper), Child Development and Digital Technology (1 paper) and Inflammatory mediators and NSAID effects (1 paper). Nia Williams is often cited by papers focused on Health Literacy and Information Accessibility (1 paper), Child Development and Digital Technology (1 paper) and Inflammatory mediators and NSAID effects (1 paper). Nia Williams collaborates with scholars based in United Kingdom and United States. Nia Williams's co-authors include Sonia Saxena, Helen Woodward, Azeem Majeed, Mitch Blair, J. O. Warner, David J. Gower, David C. Bosanquet, Karen Thomas, James B. Kirkbride and Marisha L. Humphries and has published in prestigious journals such as Developmental Medicine & Child Neurology, International Journal of Geriatric Psychiatry and Journal of Black Psychology.

In The Last Decade

Nia Williams

9 papers receiving 118 citations

Author Peers

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

Author						Papers	Cites
Nia Williams	49	46	28	26	23	9	121
Serena Wright	75 1.5×	39 0.8×	30 1.1×	32 1.2×	27 1.2×	11	232
Nikhil Ranadive	51 1.0×	33 0.7×	33 1.2×	76 2.9×	28 1.2×	6	269
Zoe Richardson	110 2.2×	53 1.2×	26 0.9×	18 0.7×	57 2.5×	12	263
Yuri Cutipé	91 1.9×	58 1.3×	83 3.0×	25 1.0×	17 0.7×	11	229
Joshua Erhabor	57 1.2×	19 0.4×	28 1.0×	69 2.7×	14 0.6×	8	243
Robert Templeton	48 1.0×	23 0.5×	21 0.8×	43 1.7×	22 1.0×	7	156
Lucy Ogbu-Nwobodo	37 0.8×	41 0.9×	59 2.1×	33 1.3×	10 0.4×	9	159
Danielle G. Dooley	39 0.8×	11 0.2×	56 2.0×	28 1.1×	15 0.7×	10	148
Isabella Bertschi	133 2.7×	65 1.4×	34 1.2×	14 0.5×	21 0.9×	7	227
Sally Macintyre	94 1.9×	63 1.4×	25 0.9×	76 2.9×	19 0.8×	8	238

Countries citing papers authored by Nia Williams

Since Specialization

Citations

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

Fields of papers citing papers by Nia Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nia Williams

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